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Fragrances & AccessoriesFY26 pilot
Fragrances & Accessories · Titan Company

SKINN by Titan growth pilot, at a glance

A fragrance business run on gifting peaks, sampling and repeat refill cycles across own stores, department stores and online.

6,000+
Points of sale carrying SKINN
400+
Cities and towns covered
₹300 Cr+
Fragrances scale
35
Consoles live on this brand
Open

Aiera Live

Pick the sales or support agent, place a real call, and watch the conversation and quality record.

Open

Retention and dormancy

8,80,000 quiet identities across 4 segments, with a dated call list at the end.

Open

Value model

What the pilot is worth on the network figures, with every input on the screen.

What the published figures say

  • Fragrances are composed by international perfumers and made in India.
  • Gifting seasons carry a disproportionate share of annual volume.
  • Repeat purchase depends on getting the refill cycle timing right.

Range and price ladder

CategoryPrice bandShare of mix
Men's eau de parfum₹1,600 – ₹3,60034%
Women's eau de parfum₹1,600 – ₹3,60029%
Gift sets₹1,900 – ₹5,50022%
Deodorants and body mists₹350 – ₹90015%

Price bands follow published SKINN by Titan ranges. Mix shares are modelled from the category ladder and the store network.

Six teams, one view per head

The platform is organised the way SKINN by Titan is run, so every head opens the console that belongs to them.

Team 01

Retail and stores

Head of retail

Team 02

Clinical and quality

Head of optometry

Team 03

Customer and loyalty

Head of customer

Team 04

Marketing and campaigns

Head of marketing

Team 05

Service and fitment

Head of service

Team 06

Method

Head of finance

Platform map

Every module on the platform, the engine behind each one, and what it does on this brand.

#ModuleEngineWhat it does
01Inbound call deskVoiceEvery inbound call answered in the caller's language, coded by reason, with the outcome written back.
02Outbound enquiry deskVoiceEnquiries called back within the hour, with a dated next step on every record.
03Aiera LiveVoiceThe live call desk: pick an agent, place the call, watch the conversation and the quality record.
04Appointment bookPlatformAdvisor and store calendars, held slots and reminder calls before every appointment.
05Lead scoringScanningIntent read from enquiry source, category and response, so the desk calls the right record first.
06Dormancy engineScanningContinuous read of the SKINN by Titan customer book for records that have gone quiet.
07Reactivation ladderVoiceA five step contact ladder with a stop rule, so no customer is called twice for the same reason.
08Loyalty deskPlatformTier movement, benefit reminders and the calls that keep a member from slipping a tier.
09Campaign runnerGenerationScripts and messages per campaign, published to the desk with the calendar attached.
10Messaging deskMessagingWhatsApp and chat where a message clears the volume more cheaply than a call.
11Service deskVoiceJob intake, status calls and completion confirmation across 3 job types.
12Warranty and claimsPlatformClaim intake, evidence capture and escalation with an audit trail on every claim.
13Store network viewPlatformStore level demand, staffing pressure and conversion, region by region.
14Store auditScanningDisplay, stock and process compliance scored per store, with dated actions.
15Stock and availabilityScanningEnquiries matched to what a store actually holds, so the desk stops promising blind.
16Quality recordPlatformEvery conversation scored on the same rubric, at issue level, never at individual level.
17Value modelPlatformLive calculator from the network figures, with every assumption on the screen.
18Data readinessPlatformWhat is connected, what is modelled and what is needed to go live.
19GovernancePlatformConsent, retention windows, language policy and what the system will not do.
20Marketing studioGenerationFive campaign images and five reels generated for SKINN by Titan, with the beat sheet and channel on each.
21AI product portfolioMethodFive AI products scored on impact against effort, with the integrations each one needs.
22Caller coachingPlatformSix behaviours scored on every call, with next week's drill written from the lowest one.
23Call analysisScanningEvery conversation transcribed, coded and scored, with the objection and the next step on the record.
24Market senseScanningLive web intelligence on SKINN by Titan in six buckets, read off the open web with every source linked.
25Commercial termsMethodFlat retainer, usage as pass through and the month six review.

Aiera Live · SKINN by Titan call desk

Two live voice agents run on this brand: a sales and enquiry agent, and a customer support agent. Both speak English with natural Hinglish switching, close within a 300 second ceiling and end with a WhatsApp or callback offer.

Agent 01

Sales and enquiry — Aditi

Calls back new enquiries, explains the range in two or three lines, and books a store or advisor appointment. Never quotes exact prices or discounts.

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Agent 02

Customer support — Neha

Takes the issue, repeats it back to confirm, states the next step and who will do it, and escalates to a senior advisor when the store or service centre is needed.

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Place a real call now
+91

The call is placed from the SKINN by Titan agent on this console. Only Indian mobile numbers are accepted.

How a call is recorded

FieldWritten byExample
Reason codeAgent, from the conversationMen's eau de parfum enquiry
OutcomeAgent, at closeAppointment booked
Next step and dateAgent, at closeStore advisor call in 2 days
Language usedTranscriberEnglish with Hindi switching
Quality scoreQuality record, issue levelRubric score on 5 dimensions

Enquiry and lead desk

Every enquiry gets a call attempt inside the hour, a reason code, and a dated next step. Nothing sits in a spreadsheet.

3,10,000
Enquiries a year, all sources
49%
Contact rate on the ladder
18%
Contacted to purchase
₹2,400
Average ticket on this brand

Live enquiry queue

EnquirySourceCategoryStoreAgeNext step
A. MenonWebsiteMen's eau de parfumNorth40 minAppointment
R. IyerStore walk-inWomen's eau de parfumWest2 hCall now
S. BhatiaWhatsAppGift setsSouth6 hAppointment
N. DasMarketplaceDeodorants and body mistsEast1 dayCall now

Customer names are masked on this console. Source, category and ageing follow the live enquiry mix.

Funnel on current inputs

StageVolume a yearRate
Enquiries received3,10,000100%
Reached on the ladder1,51,90049%
Converted to purchase27,34218% of reached
Revenue at average ticket₹54.7 L a month₹6.6 Cr a year

The appointment desk

An answered call is worth nothing until a slot is held. The desk holds the slot on the call, confirms it the day before, and writes the outcome back.

5,696
Appointments a month at current contact rates
82%
Honoured after a reminder call
20 min
Average time from call to held slot

Appointment types held on this brand

TypeLengthWho it is withReminder
Scent consultation30 minutesStore advisorCall the day before, message two hours before
Gifting appointment25 minutesStore advisorCall the day before, message two hours before
Corporate gifting call45 minutesTrade deskCall the day before, message two hours before
Sample pick up10 minutesStore counterCall the day before, message two hours before

Rules the desk follows

  • A slot is only offered when the calendar shows it open; the agent never promises a time it cannot hold.
  • Every appointment carries a named person at the store, not just a store name.
  • A no show is called once, the same day, and re-offered a different window.

Service and warranty desk

Job intake, status calls and completion confirmation, so the customer never has to chase the store.

Job typeStandard turnaroundVolumeDesk action
Damaged spray replacement5 days3,900 / monthStatus call at intake, midpoint and completion
Gift pack replacement4 days2,400 / monthStatus call at intake, midpoint and completion
Scent match consultationSame day12,600 / monthStatus call at intake, midpoint and completion
18,900
Service conversations a month
65%
Handled without a store call back
0.8 days
Average time saved per job

Escalation rules

  • Any job past its standard turnaround is escalated to the store manager the same day.
  • A second complaint on the same job goes straight to a senior advisor, never back to the agent.
  • Warranty decisions are never communicated by the agent until the service centre has confirmed them.

Messaging desk

Not every conversation deserves a call. Where a message clears the volume more cheaply and more politely, the desk sends a message.

ReasonChannelWhy not a call
Appointment confirmation and reminderWhatsAppNothing to discuss, only to confirm
Order, job or repair status updateWhatsAppA date is easier read than heard
Lookbook and priced setWhatsAppThe customer needs to see it
Store address, timing and directionsSMS or WhatsAppDetail the caller will forget
Consent and opt out captureWhatsAppWritten record required
20,667
Messages a month at current volumes
32%
Call volume moved to messaging
₹14.9 L
Contact cost avoided a year

Messaging cost avoidance is modelled at the difference between a messaging contact and a voice contact on Indian rates.

Retention and dormancy

8,80,000 identities have gone quiet on this brand. The engine reads the customer book continuously and produces a dated call list per segment.

SegmentSizeAction on the ladder
Bought 90 days ago, refill due246,000Refill call
Sampled in store, no purchase84,000Scent match follow up
Gift buyer, occasion approaching168,000Occasion reminder
Single scent buyer420,000Range cross sell
Segment builder
44,880
Customers back in a year
₹11 Cr
Value recovered at that rate

Segment sizes are modelled from the 6,000+ strong network and the published customer base. Every rate here is an editable input.

Replenishment book

Fragrance and accessories repeat on consumption, not on occasion. The SKINN by Titan book is built from bottle size and purchase date.

Cohort in the bookSizeWhat the desk does
Buyers with a dated last purchaseModelled from sell out volumeReplenishment call at week 14
Bought a 100 ml, four months on21% of buyersRefill and variant call
Sampled but never bought18% of sampled recordsOne follow up call
Gifting buyer, festival window15% of the bookOccasion call two weeks before

How the desk behaves on it

  • The agent recommends by note family from the record, never by discount.
  • One replenishment call per cycle; a customer who declines is skipped next cycle.

Book sizes are modelled from the 6,000+ points of sale carrying skinn and comparable programmes. Each one is replaced with the brand's own figure in the first data session.

Loyalty desk

Tier movement is the cheapest growth on this brand: a member about to slip a tier is worth a call, and a member one purchase away from the next tier is worth two.

TierEntry criteriaMembers
SKINN ClubFirst purchase1.9 mn
Club SignatureThree purchases in 12 months148,000

What the desk does with it

TriggerCallWindow
One purchase away from the next tierBenefit and upgrade callWithin 7 days
Tier expiring in 60 daysRetention call with the benefit spelled outTwo attempts
Benefit unused for 6 monthsReminder call, no offerOne attempt
Birthday or anniversary in the recordOccasion callThree days before

Campaigns and launches

Each campaign arrives at the desk as a script, a call list and a stop rule, not as a brief.

CampaignWindowChannelDesk output
Diwali giftingOctoberVoice and messagingScript, dated list, stop rule
Valentine and wedding giftingJanuary to FebruaryMessagingScript, dated list, stop rule
Sampling to purchaseRollingVoiceScript, dated list, stop rule

Category focus in the current window

CategoryPrice bandShare of calls
Men's eau de parfum₹1,600 – ₹3,60036%
Women's eau de parfum₹1,600 – ₹3,60030%
Gift sets₹1,900 – ₹5,50021%
Deodorants and body mists₹350 – ₹90013%

Campaign names describe campaign types, not confirmed SKINN by Titan plans. Call shares are modelled on comparable windows.

Replenishment and launch trigger desk

Consumption clock by bottle size, plus new variant launches and gifting windows.

TriggerWho gets calledWindow
Consumption window reachedBuyers by bottle sizeReplenishment call
New variant in the note familyMatching buyersOne launch call
Gifting season opensLast year's gifting buyersCall two weeks before
Sampled, no purchase in 30 daysSampled recordsOne follow up call

Rules on the trigger

  • A 100 ml bottle bought 14 weeks ago opens a replenishment call window.
  • A new variant in a customer's note family opens one launch call.
  • Two declined replenishment calls stop the ladder for that customer.

A trigger only ever opens a call window. It never sends an offer, a price or a discount on its own.

Concierge desk and scent consultation

Choosing a fragrance is a conversation about notes. The desk books that conversation and sends samples first.

ServiceHow it runsWho it is for
Scent consultationNote profile built with the customerNew and gifting buyers
Sample set dispatchThree samples chosen on the callUndecided buyers
Gifting and engravingPacked and personalisedFestival and corporate orders
Corporate bulk giftingQuote and dispatch managedCompany accounts
3.4×
Conversion against a walk in enquiry
26%
Share of high value enquiries routed here
24 h
Time from enquiry to a held session

Uplift and routing shares are modelled on comparable appointment led retail. They are inputs, not claims.

Note lookbook and gifting guide

A short set by note family and occasion, priced, with the sample dispatch offered on the same call.

SetWhat is in itWhen it is sent
Note family editThree fragrances, one familySent on WhatsApp
Gifting under a stated budgetPriced against the customer's numberSent inside the hour
Day and evening pairTwo bottles, stated wearSent on request
Accessory pairing setBag or belt matched to the giftSent with the quote

What a brief carries

FieldWritten byExample
Customer's stated budgetAgent, on the call₹2,880
Occasion or reasonAgent, on the callDiwali gifting
Category shortlistDesk, from the rangeMen's eau de parfum
Store and personDesk, from the calendarNorth flagship
Sent onMessaging deskWhatsApp, within the hour

Marketing studio · SKINN by Titan

Five campaign images and five reels built for SKINN by Titan from its own range, occasions and audience. Every frame is generated on brand and carries the concept, the channel and the call to action it was written for.

10
Creatives shipped on this brand
5
Campaign images, feed and catalogue
5
Reels, 9:16 storyboard
3
Live campaign windows to feed

Five campaign images

SKINN by Titan campaign creative: Hero product still — glass SKINN perfume bottle with the mist caught mid air 1200 × 750 · feed

International quality fragrances, made in India

SKINN by Titan

Hero product still — glass SKINN perfume bottle with the mist caught mid air

Single subject, no clutter. Used as the anchor frame for the a date night push and cut down for stories.

Product heroFragrance buyers, 22 to 40Instagram feed · Meta paid

Book a store visit

SKINN by Titan campaign creative: A date night campaign frame 1200 × 750 · feed

Made for a date night.

SKINN by Titan

A date night campaign frame

Human moment around the product, shot to run through the a date night calendar in every region.

OccasionFragrance buyers, 22 to 40Meta + YouTube masthead

See the collection

SKINN by Titan campaign creative: Store and service frame 1200 × 750 · feed

6,000+ points of sale carrying skinn

SKINN by Titan

Store and service frame

Retail proof for local campaigns: the room, the advisor and the process a customer walks into.

Retail experienceFragrance buyers, 22 to 40Google Performance Max · local

Find your nearest store

SKINN by Titan campaign creative: Craft and proof frame 1200 × 750 · feed

French fragrance oils, long wear concentration

SKINN by Titan

Craft and proof frame

Macro proof frame used wherever the claim needs evidence: process, tolerance, certification, hand work.

Craft proofFragrance buyers, 22 to 40Brand film stills · PR

Read how it is made

SKINN by Titan campaign creative: Range and price ladder frame 1200 × 750 · feed

4 ranges, one ladder

SKINN by Titan

Range and price ladder frame

Flat lay of the ladder from deodorants and body mists to men's eau de parfum, used in CRM and catalogue.

RangeFragrance buyers, 22 to 40Catalogue · CRM email

Browse the range

Five reels

Each reel ships as a beat sheet with its opening frame, ready to shoot or generate on approval.

SKINN by Titan campaign creative: Three second hook reel 720 × 1280 · 9:160:08

International quality fragrances, made in India

SKINN by Titan

Three second hook reel

Opens on a glass SKINN perfume bottle with the mist caught mid air in motion, holds one line, ends on the store CTA.

  1. 0-2s Macro push in on a glass SKINN perfume bottle with the mist caught mid air
  2. 2-5s Pull back to reveal a dark studio with wet stone and a beam of light
  3. 5-8s Hold on the product, CTA card
Product heroFragrance buyers, 22 to 40Instagram Reels · Shorts

Book a visit

SKINN by Titan campaign creative: A date night story reel 720 × 1280 · 9:160:10

The a date night film.

SKINN by Titan

A date night story reel

One customer moment, fragrance buyers, 22 to 40, shot handheld and cut tight.

  1. 0-3s The moment before: a date night preparation
  2. 3-7s The product enters the frame
  3. 7-10s Reaction, then the brand card
OccasionFragrance buyers, 22 to 40Reels · WhatsApp status

See the collection

SKINN by Titan campaign creative: How it works reel 720 × 1280 · 9:160:10

French fragrance oils, long wear concentration

SKINN by Titan

How it works reel

Screen recorded and shot steps of the actual process, used to answer the top objection.

  1. 0-3s The question a customer asks
  2. 3-7s The process on camera: French fragrance oils, long wear concentration
  3. 7-10s What the customer walks away with
ExplainerFragrance buyers, 22 to 40Shorts · store screens

Talk to an advisor

SKINN by Titan campaign creative: Store walkthrough reel 720 × 1280 · 9:160:08

Walk into SKINN by Titan.

SKINN by Titan

Store walkthrough reel

Single take walk through the store, cut to the retail and stores script.

  1. 0-2s Door opens, camera walks in
  2. 2-6s Advisor presents a glass SKINN perfume bottle with the mist caught mid air
  3. 6-8s Appointment card, store name
Retail experienceFragrance buyers, 22 to 40Local Reels · Maps

Find your store

SKINN by Titan campaign creative: Customer voice reel 720 × 1280 · 9:160:10

Why fragrance buyers choose us.

SKINN by Titan

Customer voice reel

Creator style piece to camera, no studio polish, subtitled for sound off viewing.

  1. 0-3s Piece to camera, one honest line
  2. 3-7s Cut to a glass SKINN perfume bottle with the mist caught mid air in real use
  3. 7-10s Recommendation, brand card
Social proofFragrance buyers, 22 to 40Reels · influencer whitelisting

Book a call back

Campaign windows these creatives feed

CampaignWindowChannelCreative used
Diwali giftingOctoberVoice and messagingHero product still — glass SKINN perfume bottle with the mist caught mid air + Three second hook reel
Valentine and wedding giftingJanuary to FebruaryMessagingA date night campaign frame + A date night story reel
Sampling to purchaseRollingVoiceStore and service frame + How it works reel

Creative concepts are written from published SKINN by Titan range and occasion language. Visuals are generated for this console and are not shot campaign assets.

AI product portfolio · SKINN by Titan

Five AI products designed for SKINN by Titan specifically, each naming the bottleneck it removes, what gets built, and the one number it moves. Scored on business impact against build effort.

5
Products in the portfolio
82/100
Average impact score
4
Quick wins: high impact, low effort
4
Shippable inside 90 days
#ProductMovesImpactEffortHorizonStagePayback
01Scent and style profilerTrial to purchase rate84/10032/100NowPrototype8 weeks
02Gifting and replenishment deskRepeat purchase rate73/10048/100NextConcept11 weeks
03Enquiry-to-appointment agentEnquiry to appointment rate85/10038/100NowPilot6 weeks
04Dormancy and reactivation engineReactivated customers per month86/10029/100NowPilot8 weeks
05Conversation intelligence for the estateObjections resolved before escalation84/10044/100NowPrototype10 weeks
Product 01 · Now · Prototype

Scent and style profiler

The bottleneck. Choice is the barrier: a customer cannot pick from the SKINN by Titan range online, and returns follow every blind buy.

What gets built. A short conversational profiler on occasion, intensity and season that recommends two options from 4 families with a sampling or in-store trial offer attached.

Who uses it. Marketing team, e-commerce, trade counters

Why it holds. The profiler learns from repeat-purchase data, so recommendations tighten every quarter.

Preference elicitation flowFamily and note embeddingSampling offer engineAiera ConverseAiera Sense
IntegrationWhat moves acrossState
CatalogueFamilies, notes, intensity and priceIn build
E-commerceSampling offer and cart handoffPlanned

Moves: Trial to purchase rate. Impact 84/100 against 32/100 build effort, payback 8 weeks.

Product 02 · Next · Concept

Gifting and replenishment desk

The bottleneck. Fragrance and accessories are consumed on a predictable cycle, and nobody calls when the bottle is about to run out.

What gets built. A replenishment engine that estimates the empty date from size and usage band, calls with a refill or upgrade at the right week, and runs a gifting calendar for dated occasions in the record.

Who uses it. Customer team, trade marketing, e-commerce

Why it holds. Cycle estimates from the brand's own repeat data beat any generic reorder reminder.

Consumption cycle modelOccasion calendarOffer sequencingAiera PredictAiera Engage
IntegrationWhat moves acrossState
Purchase historySize, date and channel per purchaseIn build
Messaging deskRefill nudge before the callLive

Moves: Repeat purchase rate. Impact 73/100 against 48/100 build effort, payback 11 weeks.

Product 03 · Now · Pilot

Enquiry-to-appointment agent

The bottleneck. Enquiries reach SKINN by Titan faster than the floor can call them back. The ones called on day three convert at a fraction of the ones called inside the hour.

What gets built. A voice agent that calls every new enquiry within the hour in the caller's language, qualifies category and budget band without quoting a price, and writes a held slot into the advisor calendar at 6,000+ locations.

Who uses it. Retail and stores team, store managers, advisors

Why it holds. Trained on SKINN by Titan range language and objection handling, with the price guardrail written into the policy layer.

Voice LLM with tool callingHinglish ASR and TTSCalendar hold APICRM write-backAiera ConverseAiera Engage
IntegrationWhat moves acrossState
CRM / lead storeEnquiry in, outcome and reason code outLive
Store calendarSlot held before the call endsIn build
WhatsApp BusinessConfirmation and reminder on the same threadLive

Moves: Enquiry to appointment rate. Impact 85/100 against 38/100 build effort, payback 6 weeks.

Product 04 · Now · Pilot

Dormancy and reactivation engine

The bottleneck. 8,80,000 identities in the SKINN by Titan book have gone quiet, and the estate has no ranked reason to call any one of them today.

What gets built. A scoring engine that reads recency, category, ticket and last conversation, then publishes a dated call list per store with a five step ladder and a hard stop rule, across 4 segments.

Who uses it. Customer and loyalty team, regional heads

Why it holds. The stop rule and consent ledger mean the same customer is never worked twice for the same reason across channels.

Gradient-boosted propensity modelSegment rules engineContact-policy ledgerAiera SenseAiera PredictAiera Engage
IntegrationWhat moves acrossState
Customer book2 tiers and transaction history scored nightlyIn build
Call deskRanked list pushed to the dialler each morningLive
AttributionStore billing matched back to the callPlanned

Moves: Reactivated customers per month. Impact 86/100 against 29/100 build effort, payback 8 weeks.

Product 05 · Now · Prototype

Conversation intelligence for the estate

The bottleneck. Nobody at SKINN by Titan can answer what customers actually asked for last week without listening to calls one by one.

What gets built. Every call and chat transcribed, coded to a reason taxonomy, and rolled up to region, store and category, with the top rising objection surfaced weekly at issue level only.

Who uses it. Marketing and campaigns team, category heads, quality

Why it holds. A reason taxonomy built for this vertical, scored at issue level and never at individual advisor level.

Streaming ASRReason-code classifierObjection clusteringWeekly rollup warehouseAiera SenseAiera Context
IntegrationWhat moves acrossState
TelephonyRecording and metadata ingested per callLive
Quality rubricSame rubric applied to every conversationIn build
BIWeekly reason report to the leadership packPlanned

Moves: Objections resolved before escalation. Impact 84/100 against 44/100 build effort, payback 10 weeks.

Impact and effort are scored by the build team on the brand's own volumes, and are re-scored at the month six review.

AI product 01 of 5 · SKINN by Titan · Now, Prototype

Scent and style profiler

Choice is the barrier: nobody picks blind from the SKINN by Titan range. A short profiler narrows it to two options and attaches a trial.

9,672
Returns avoided
84/100
Business impact score
32/100
Build effort score
8 weeks
Payback on the pilot
The bottleneck

What is broken today

Choice is the barrier: a customer cannot pick from the SKINN by Titan range online, and returns follow every blind buy.

The build

What gets built

A short conversational profiler on occasion, intensity and season that recommends two options from 4 families with a sampling or in-store trial offer attached.

How it works, end to end

StepStageWhat happens on this brand
01ProfiledFour questions on occasion, intensity, season and what the customer already wears.
02MatchedAnswers matched to families across 4 groups, with note and intensity embeddings.
03Two optionsTwo recommendations, never a list, each with why it was picked in one line.
04Trial attachedSampling offer or an in-store trial at the nearest counter, with a dated follow-up.
05Learned fromRepeat purchase and return data tighten the profiler every quarter.

The value, on SKINN by Titan numbers

MeasureFigureHow it is arrived at
Profiles completed a month1,61,200Web, app and counter
Trials issued70,928Sampling or in-store trial
Trial to purchase26,95338% of trials convert
Returns avoided9,672Blind buys removed by the profiler
Value from profiled trials₹6.5 CrAt the ₹2,400 average ticket

Moves: Trial to purchase rate. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: four questions to two options

Quick demo

A customer wants something for daily office wear in a humid city and dislikes sweet notes.

Input the product readsValue
OccasionDaily, office
SeasonHumid, year round
Currently wearsA citrus body spray
DislikesSweet, heavy notes
ProfilerKya yeh daily office ke liye chahiye ya evening ke liye?
CustomerDaily office.
ProfilerKaunsi cheez pasand nahi — sweet, woody, ya musk?
CustomerSweet bilkul nahi.
ProfilerDo options rakhta hoon: Men's eau de parfum family se ek fresh option, aur Women's eau de parfum se ek light woody. Dono ₹1,600 – ₹3,600 band mein.
ProfilerNearest counter par trial rakh deta hoon, aur 5 din baad ek follow-up call karunga.
What the product wrote back
ResultValue
Options given2, never a long list
TrialCounter trial reserved
Follow-upDated, 5 days
Expected trial-to-buy38%

Two options with a reason beats a catalogue. The profiler improves as repeat data lands.

Who uses it, and why it holds

Users

Inside SKINN by Titan

Marketing team, e-commerce, trade counters

Moat

Why it is defensible

The profiler learns from repeat-purchase data, so recommendations tighten every quarter.

Preference elicitation flowFamily and note embeddingSampling offer engineAiera ConverseAiera Sense

Systems it needs

IntegrationWhat moves acrossState
CatalogueFamilies, notes, intensity and priceIn build
E-commerceSampling offer and cart handoffPlanned

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of SKINN by Titan history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same SKINN by Titan customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 84/100 against 32/100 build effort. Horizon Now, current stage Prototype, payback 8 weeks. Re-scored at the month six review.

AI product 02 of 5 · SKINN by Titan · Next, Concept

Gifting and replenishment desk

SKINN by Titan products are consumed on a predictable cycle, and nobody calls when the bottle is empty. This desk calls at the right week, and again before every gifting peak.

26,400
Gifting-peak conversions
73/100
Business impact score
48/100
Build effort score
11 weeks
Payback on the pilot
The bottleneck

What is broken today

Fragrance and accessories are consumed on a predictable cycle, and nobody calls when the bottle is about to run out.

The build

What gets built

A replenishment engine that estimates the empty date from size and usage band, calls with a refill or upgrade at the right week, and runs a gifting calendar for dated occasions in the record.

How it works, end to end

StepStageWhat happens on this brand
01Cycle estimatedSize, purchase date and channel used to estimate the finish week per customer.
02Gifting calendar heldDiwali gifting and the rest of the gifting calendar held alongside the cycle.
03Nudged then calledA message at the estimated finish week; a call only if the message goes unanswered.
04Bundle offeredRefill or the same family at the size that matches how the customer actually buys.
05MeasuredRepeat rate per cycle and per campaign window, reported monthly.

The value, on SKINN by Titan numbers

MeasureFigureHow it is arrived at
Customers on a known cycle3,52,000Purchase history with size and date
Nudges due a month42,240Estimated finish week
Repeat purchases from nudges8,87021% of nudges convert
Gifting-peak conversions26,400Across the gifting windows
Value from repeats₹8.5 CrAt the ₹2,400 average ticket

Moves: Repeat purchase rate. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: a refill nudge that lands in the right week

Quick demo

A 100ml purchase 11 weeks ago, bought at a counter, with a gifting window opening in 12 days.

Input the product readsValue
Last purchase100ml, 11 weeks ago
Estimated finishWeek 12
Channel preferenceCounter, not online
Window openingDiwali gifting
DeskMessage: aapki last bottle ab khatam hone wali hogi. Nearest counter par refill available hai.
EngineNo reply in 72 hours. Escalating to a call, once.
AgentNamaste, SKINN by Titan se. Refill ke liye call kiya hai, aur Diwali gifting window bhi khul rahi hai.
CustomerGift bhi lena hai ek.
AgentPhir Women's eau de parfum family mein gifting option dikha deta hoon. Counter par dono rakhwa deta hoon.
EngineOutcome written, next cycle re-estimated from this purchase.
What the product wrote back
ResultValue
Contact attempts1 message, 1 call
OutcomeRefill plus a gifting add-on
Cycle re-estimatedYes, from this purchase
Further contactNone until the next cycle

One nudge, one call, then silence until the next cycle. The stop rule is what keeps this welcome.

Who uses it, and why it holds

Users

Inside SKINN by Titan

Customer team, trade marketing, e-commerce

Moat

Why it is defensible

Cycle estimates from the brand's own repeat data beat any generic reorder reminder.

Consumption cycle modelOccasion calendarOffer sequencingAiera PredictAiera Engage

Systems it needs

IntegrationWhat moves acrossState
Purchase historySize, date and channel per purchaseIn build
Messaging deskRefill nudge before the callLive

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of SKINN by Titan history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same SKINN by Titan customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 73/100 against 48/100 build effort. Horizon Next, current stage Concept, payback 11 weeks. Re-scored at the month six review.

AI product 03 of 5 · SKINN by Titan · Now, Pilot

Enquiry-to-appointment agent

Every enquiry that reaches SKINN by Titan gets a call back inside the hour, in the language the customer wrote in, and ends with a slot held in a named store's book.

₹6.6 Cr
Value on the appointment book
85/100
Business impact score
38/100
Build effort score
6 weeks
Payback on the pilot
The bottleneck

What is broken today

Enquiries reach SKINN by Titan faster than the floor can call them back. The ones called on day three convert at a fraction of the ones called inside the hour.

The build

What gets built

A voice agent that calls every new enquiry within the hour in the caller's language, qualifies category and budget band without quoting a price, and writes a held slot into the advisor calendar at 6,000+ locations.

How it works, end to end

StepStageWhat happens on this brand
01Enquiry landsWeb form, WhatsApp, walk-in register or campaign response arrives with source and Men's eau de parfum interest attached.
02Scored and queuedIntent scored on source, category and response speed; Men's eau de parfum and Women's eau de parfum enquiries in a live campaign window jump the queue.
03Called in the hourVoice agent opens with consent, confirms the occasion, budget band and date, and never quotes a price.
04Slot heldNearest of the 6,000+ locations checked for advisor availability and a slot held before the call ends.
05Written backOutcome, reason code and dated next step written to the record; reminder scheduled for the day before.

The value, on SKINN by Titan numbers

MeasureFigureHow it is arrived at
Enquiries a month3,10,000Modelled on the network, editable on the value model console
Reached inside the hour1,51,90049% contact rate at the pilot desk
Appointments that convert27,34218% of contacted, matched to store billing
Value on the appointment book₹6.6 CrAt the ₹2,400 SKINN by Titan average ticket
Advisor hours returned a month18,228Callback dialling and note taking removed from the floor

Moves: Enquiry to appointment rate. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: an enquiry called back in the hour

Quick demo

A Men's eau de parfum enquiry arrives from a North pincode at 11:04 with no budget stated.

Input the product readsValue
SourceWebsite enquiry form
InterestMen's eau de parfum, ₹1,600 – ₹3,600
RegionNorth
Language detectedHindi with English product words
AgentNamaste, SKINN by Titan se baat kar rahe hain. Aapne aaj Men's eau de parfum ke liye enquiry ki thi. Do minute baat kar sakte hain?
CustomerHaan, boliye.
AgentYeh kis occasion ke liye dekh rahe hain, aur date kya soch rahe hain?
CustomerBehen ki shaadi hai, agle mahine ki 14.
AgentSamajh gaya. Men's eau de parfum mein ₹1,600 – ₹3,600 range hai, aur Women's eau de parfum bhi dekh sakte hain. Store par pieces nikalwa kar rakhta hoon.
CustomerDiscount kitna milega?
AgentRate aur terms store par published hain, main uspar comment nahi karta. Advisor aapko poori terms dikhayenge.
AgentNorth store mein kal shaam 6 baje advisor free hain. Slot hold kar doon?
CustomerHaan kar dijiye.
What the product wrote back
ResultValue
Time to first call41 minutes from enquiry
Reason code writtenWedding purchase, Men's eau de parfum
Budget band captured₹1,600 – ₹3,600
Next stepAppointment held, North store, tomorrow 18:00
Guardrail heldNo price or discount discussed

The demo shows the live agent script and the record it writes. Place a real call from the Aiera Live desk to hear it.

Who uses it, and why it holds

Users

Inside SKINN by Titan

Retail and stores team, store managers, advisors

Moat

Why it is defensible

Trained on SKINN by Titan range language and objection handling, with the price guardrail written into the policy layer.

Voice LLM with tool callingHinglish ASR and TTSCalendar hold APICRM write-backAiera ConverseAiera Engage

Systems it needs

IntegrationWhat moves acrossState
CRM / lead storeEnquiry in, outcome and reason code outLive
Store calendarSlot held before the call endsIn build
WhatsApp BusinessConfirmation and reminder on the same threadLive

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of SKINN by Titan history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same SKINN by Titan customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 85/100 against 38/100 build effort. Horizon Now, current stage Pilot, payback 6 weeks. Re-scored at the month six review.

AI product 04 of 5 · SKINN by Titan · Now, Pilot

Dormancy and reactivation engine

8,80,000 identities in the SKINN by Titan book have gone quiet. This engine ranks them daily and hands each store a dated call list with a reason on every name.

₹44
Cost per reactivated customer
86/100
Business impact score
29/100
Build effort score
8 weeks
Payback on the pilot
The bottleneck

What is broken today

8,80,000 identities in the SKINN by Titan book have gone quiet, and the estate has no ranked reason to call any one of them today.

The build

What gets built

A scoring engine that reads recency, category, ticket and last conversation, then publishes a dated call list per store with a five step ladder and a hard stop rule, across 4 segments.

How it works, end to end

StepStageWhat happens on this brand
01Book read nightlyRecency, category, ticket band, 2 loyalty tiers and last conversation read across the whole SKINN by Titan book.
02Scored to a reasonEvery quiet identity gets one reason: Bought 90 days ago, refill due, Sampled in store, no purchase or Gift buyer, occasion approaching.
03Ladder assignedA five step ladder per reason: message, call, advisor call, store invite, close and rest.
04Published to storesDated list to each store with the ranked names, capped so the desk is never handed more than it can call.
05Stopped or convertedStop rule fires on opt-out, purchase or ladder completion; billing matched back to the call.

The value, on SKINN by Titan numbers

MeasureFigureHow it is arrived at
Quiet identities in scope8,80,000Across 4 scored segments
Reactivated a month44,8805.1% of the worked list, held at the pilot rate
Value reactivated₹11 CrAt the ₹2,400 average ticket
Cost per reactivated customer₹44Voice desk cost per contact, one quarter of the book worked
Contacts avoided by the stop rule1,58,400Duplicate work removed across call, message and store

Moves: Reactivated customers per month. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: today's reactivation list for one store

Quick demo

The North store opens its list at 10:00. Names are masked; the reason and the ladder step are not.

Input the product readsValue
StoreNorth, 1,900
List size today24 names, capped to desk capacity
Top segmentBought 90 days ago, refill due
Ladder stepStep 2, first advisor call
EngineR•••• S — last purchase 19 months ago, Men's eau de parfum, SKINN Club tier. Reason: Bought 90 days ago, refill due. Score 92.
EngineRecommended open: Refill call
AdvisorNamaste, SKINN by Titan North se. Aapne humare saath Men's eau de parfum liya tha. Ek new arrival aayi hai jo aapki pehli purchase ke saath jaati hai.
CustomerAbhi plan nahi hai, teen mahine baad dekhungi.
AdvisorBilkul, main aapko teen mahine baad hi call karunga. Tab tak koi message nahi bhejenge.
EngineOutcome: deferred, 90 day rest applied. Every other channel muted for this reason.
What the product wrote back
ResultValue
Names worked24 of 24, no sampling
Converted to appointment3
Deferred with a dated recall7
Rested by the stop rule2
Value on the 3 appointments₹7,200

Reactivation runs on the brand's own book. Identities are masked on this console; the live desk sees the record it is allowed to see.

Who uses it, and why it holds

Users

Inside SKINN by Titan

Customer and loyalty team, regional heads

Moat

Why it is defensible

The stop rule and consent ledger mean the same customer is never worked twice for the same reason across channels.

Gradient-boosted propensity modelSegment rules engineContact-policy ledgerAiera SenseAiera PredictAiera Engage

Systems it needs

IntegrationWhat moves acrossState
Customer book2 tiers and transaction history scored nightlyIn build
Call deskRanked list pushed to the dialler each morningLive
AttributionStore billing matched back to the callPlanned

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of SKINN by Titan history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same SKINN by Titan customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 86/100 against 29/100 build effort. Horizon Now, current stage Pilot, payback 8 weeks. Re-scored at the month six review.

AI product 05 of 5 · SKINN by Titan · Now, Prototype

Conversation intelligence for the estate

Every SKINN by Titan call and chat is transcribed, coded to a reason taxonomy and rolled up to region, store and category, so the rising objection is on the leadership pack the week it rises.

4,557
Enquiries saved by script fixes
84/100
Business impact score
44/100
Build effort score
10 weeks
Payback on the pilot
The bottleneck

What is broken today

Nobody at SKINN by Titan can answer what customers actually asked for last week without listening to calls one by one.

The build

What gets built

Every call and chat transcribed, coded to a reason taxonomy, and rolled up to region, store and category, with the top rising objection surfaced weekly at issue level only.

How it works, end to end

StepStageWhat happens on this brand
01CapturedTelephony recordings and chat threads ingested with store, region and Men's eau de parfum category metadata.
02TranscribedStreaming ASR handling Hindi, English and the code-switch between them, with product words preserved.
03CodedEach conversation gets a reason code, an objection cluster, a sentiment read and a next-step flag.
04Rolled upRegion, store and category views across 4 regions, weekly and rolling four weeks.
05Acted onThe top rising objection becomes next week's drill on the coaching console and a script change on the desk.

The value, on SKINN by Titan numbers

MeasureFigureHow it is arrived at
Conversations coded a month1,70,800100% coverage, replacing manual sampling
Manual review hours removed8,540At 3 minutes of quality listening per sampled call
Rising objections surfaced weeklyTop 5Ranked by week-on-week movement, at issue level
Enquiries saved by script fixes4,557Objection answered before it becomes a lost enquiry
Value of those saves₹19.7 LAt the brand conversion rate and average ticket

Moves: Objections resolved before escalation. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: last week's rising objection

Quick demo

18,900 service and enquiry conversations coded across 4 regions.

Input the product readsValue
WindowRolling week against prior week
Coverage100% of calls and chats
Top categoryMen's eau de parfum
Top region by volumeNorth
EngineRising objection: "Men's eau de parfum availability at the nearest store" — up 34% week on week, concentrated in North.
EngineSecond: turnaround clarity on Damaged spray replacement (5 days) — customers calling twice for the same status.
EngineThird: Women's eau de parfum price band confusion after the Diwali gifting window opened.
ActionStock and availability console now answers the first before the advisor speaks; Damaged spray replacement status calls automated.
ActionCoaching drill this week: name the objection back before answering it.
What the product wrote back
ResultValue
Conversations coded1,70,800
Reason codes in the taxonomy28, written with the brand
Objections cleared before escalation61%
Script changes shipped3

Rollups are read at issue level only. No advisor is named or ranked in any view on this console.

Who uses it, and why it holds

Users

Inside SKINN by Titan

Marketing and campaigns team, category heads, quality

Moat

Why it is defensible

A reason taxonomy built for this vertical, scored at issue level and never at individual advisor level.

Streaming ASRReason-code classifierObjection clusteringWeekly rollup warehouseAiera SenseAiera Context

Systems it needs

IntegrationWhat moves acrossState
TelephonyRecording and metadata ingested per callLive
Quality rubricSame rubric applied to every conversationIn build
BIWeekly reason report to the leadership packPlanned

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of SKINN by Titan history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same SKINN by Titan customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 84/100 against 44/100 build effort. Horizon Now, current stage Prototype, payback 10 weeks. Re-scored at the month six review.

Store network

6,000+ Points of sale carrying SKINN, read region by region, with demand and staffing pressure next to each other.

RegionPoints of saleShare of networkDesk load
North1,90032%8,267 enquiries a month
West1,70028%7,233 enquiries a month
South1,50025%6,458 enquiries a month
East90015%3,875 enquiries a month

Store level signals the desk acts on

  • Enquiry volume above what the store roster can answer, two weeks running.
  • Appointments booked but not honoured, by store and by advisor.
  • Requests for stock the store does not hold, so transfer replaces a lost sale.

Stock and availability

The desk stops promising blind. Before an appointment is offered, the enquiry is matched against what the store actually holds.

CategoryHeld at the enquiry storeAvailable in the regionDesk action
Men's eau de parfum55% of the plan65% of the planOffer transfer or another store
Women's eau de parfum83% of the plan91% of the planBook at this store
Gift sets72% of the plan93% of the planBook at this store
Deodorants and body mists61% of the plan80% of the planOffer transfer or another store

What happens when the piece is not there

  • The desk names a second store in the same city before it names a date.
  • A transfer is raised with a dated arrival, and the customer is called when it lands.
  • A repeated gap in the same category at the same store is written into the store audit.

Availability percentages are modelled against the category plan. They are replaced by the live stock feed at go live.

Store audit

Display, stock and process compliance scored on the same rubric everywhere, with a dated action against every gap.

RegionStores auditedAverage scoreOpen actionsOldest open
North152 of 1,90093 / 1001720 days
West136 of 1,70091 / 100207 days
South120 of 1,50089 / 1002112 days
East72 of 90087 / 1001517 days

Rubric

DimensionWeightChecked by
Window and display compliance25%Photo audit, scored
Stock availability against the plan25%Stock read
Advisor process and greeting20%Mystery call
Appointment and follow up discipline20%Desk record
Housekeeping and safety10%Checklist

One audit cycle covers 8% of the points of sale in a quarter, so every point is seen at least once a year. Scores, actions and ageing are modelled on audit cycles of comparable networks.

Conversation intelligence

Every conversation is transcribed, coded and counted, so the brand learns what customers are actually asking, not what the desk remembers.

What the conversation was aboutShareWhat the desk does with it
Variant availability and price30%Stock read, band stated
Note and recommendation questions25%Consultation booked, samples sent
Gifting and packing20%Order raised with a date
Replenishment and refills14%Order or store visit
Authenticity and returns11%Escalated with the invoice checked

What comes out of it every week

OutputGoes toCadence
Top ten reasons customers calledHead of retailWeekly
Requests for stock the store did not holdHead of retailWeekly
Questions the script answered badlyHead of marketingWeekly
Objections before a lost enquiryHead of customerFortnightly
Store level process gaps heard on callsHead of serviceMonthly, into the audit

Coding is at issue level. No individual customer and no individual advisor is profiled or ranked.

Call analysis

Every SKINN by Titan conversation is transcribed, coded and scored: what the caller wanted, what stopped them, what was promised and what happened next. This is the record the desk, the campaign team and the store network all argue from.

1,70,800
Calls analysed a month
25%
Positive sentiment on close
80 / 100
Average quality score
6.1m
Average call length

A day off the desk, identities masked

CallCaller regionWhat it was aboutLanguageLengthSentimentScoreOutcome
C-4852Bengaluru · NorthVariant availability and priceEnglish4m 32sNegative69Appointment booked
C-4889Mumbai · WestWomen's eau de parfum enquiryHinglish6m 43sNeutral80Message sent
C-4926Delhi · SouthGifting and packingHindi2m 54sPositive85Closed
C-4963Hyderabad · EastDeodorants and body mists enquiryTamil4m 05sNegative63Appointment booked
C-5000Chennai · NorthAuthenticity and returnsTelugu6m 16sNeutral95Closed
C-5037Pune · WestWomen's eau de parfum enquiryKannada2m 27sPositive81Callback set
C-5074Kolkata · SouthNote and recommendation questionsMarathi4m 38sNegative72Not now
C-5111Ahmedabad · EastDeodorants and body mists enquiryBengali6m 49sNeutral91Closed

What stopped the call, and what the desk did next

Objection heardHow oftenWhat the desk says nowNext step written
Price against a competitor quote6% of callsNamed back, answered from the record, then a dated visit offeredWhatsApp with the range sent, callback in 48 hours
Wants a discount the desk cannot give7% of callsAnswered from the published men's eau de parfum range, never with a discountAppointment held, reminder call scheduled
Not ready, date not fixed8% of callsNamed back, answered from the record, then a dated visit offeredWhatsApp with the range sent, callback in 48 hours
Store is too far9% of callsAnswered from the published men's eau de parfum range, never with a discountAppointment held, reminder call scheduled
Waiting for the rate to move10% of callsNamed back, answered from the record, then a dated visit offeredWhatsApp with the range sent, callback in 48 hours
Wants to see the piece first11% of callsAnswered from the published men's eau de parfum range, never with a discountAppointment held, reminder call scheduled

What the transcript is mined for

Field pulled from the callHow it is usedGoes to
Reason code and category asked forFeeds the enquiry desk and the stock viewHead of retail
Budget band the caller statedSets the range the advisor preparesHead of retail
Occasion and dateSets the ladder and the reminder callHead of customer
Objection and competitor namedFeeds the drill and the campaign messageHead of marketing
Promise made on the callChecked against the job or appointment recordHead of service
Consent and language preferenceWritten to the record for every future contactHead of finance

Transcript volumes and scores are modelled on the current script until the brand's own telephony is connected. Caller identity is masked in every screen and every export.

Caller coaching

Every call the SKINN by Titan desk makes is scored on the same six behaviours, and the lowest scoring behaviour becomes next week's drill. Coaching is written at desk, region and issue level, never against a named individual.

1,70,800
Calls in scope for coaching a month
73 / 100
Desk coaching score, rolling four weeks
100%
Calls reviewed, no sampling
6
Drills shipped to the floor last month

The six behaviours, and where the desk stands

BehaviourAdherenceWhat a pass sounds like
Opening and consent93%Brand named, purpose stated, consent captured in the first 15 seconds
Discovery depth61%Occasion, budget band and date asked before anything is recommended
Objection handling68%Objection named back, answered from the record, not from opinion
Proof used50%Certification, warranty or exchange terms quoted from the published range
Next step booked78%A dated next step with a named store or advisor
Write back90%Reason code and outcome on the record before the call ends

Lowest adherence right now is proof used at 50%. That is the drill below.

Region scorecards

RegionStoresCalls a monthCoaching scoreCoach on
North1,90054,65676 / 100Objection handling
West1,70047,82489 / 100Proof used
South1,50042,70082 / 100Write back
East90025,62075 / 100Discovery depth

This week's drills, written from lost conversations

DrillBuilt fromWhat changes on the callOwner
Proof used drill49 calls where the enquiry was lost after this stepCertification, warranty or exchange terms quoted from the published rangeHead of retail
Men's eau de parfum objection drillObjections heard before a lost men's eau de parfum enquiryObjection is named back and answered from the published range, then a visit is offeredHead of customer
Replenishment book drillCalls where the balance or benefit was stated wronglyThe balance is read from the record and the visit is booked in the same callHead of optometry
Service promise drillDamaged spray replacement calls where a date was promised before the centre confirmed itNo completion date is stated until the job record carries oneHead of service

How a drill reaches the floor

  • Monday: the week's calls are scored and the lowest behaviour is picked by number, not by opinion.
  • Tuesday: three good calls and three weak calls on that behaviour are clipped, with identities masked.
  • Wednesday: the script line is rewritten and pushed to both the human desk and the voice agent.
  • Friday: the same behaviour is re-scored and the movement is reported to Head of retail.

Scores are modelled on the current script and comparable Indian voice desks until the brand's own recordings are connected. No individual advisor is ranked, scored or named in any output.

Quality record

Every conversation is scored on the same five dimensions, at issue and store level, so quality is a number the brand can argue with.

DimensionWeightWhat a pass looks like
Identification and consent20%Brand named, purpose stated, consent captured
Accuracy of what was said25%No price, discount or warranty claim outside the record
Language and courtesy15%Caller's language matched, no talking over
Next step captured25%A dated next step with a named owner
Write back15%Reason code and outcome on the record
86 / 100
Current rubric score
100%
Conversations scored, not a sample
6
Script fixes shipped last month

Market sense · web intelligence

Six buckets, read off the open web for SKINN by Titan: competitor moves, category demand, the brand's own online reputation, the price and offer message in market, retail expansion, and the social conversation. Each bucket opens with the analysis — how the brand is actually doing on that front and what to do next — and the sources it was written from sit underneath it as the evidence.

6,000+
Points of sale carrying SKINN
₹300 Cr+
Fragrances scale
5
Named competitors tracked
60
Sources across six buckets

Who is tracked against SKINN by Titan

Bella VitaWild StoneEngage perfumesPark AvenueNivea Deo

Category read as: fragrance and perfume market India. Reputation read from amazon.in, nykaa.com, consumercomplaints.in and open consumer forums.

The read

SKINN by Titan maintains strong offline and boutique momentum, but faces aggressive volume pressure and deep discounting from accessible rivals like Bella Vita.

SKINN is executing targeted retail expansion across premier malls such as Seawoods Grand Central and Vegas Mall while anchoring over 6,000 points of sale. However, category rivals like Bella Vita are aggressively opening physical stores in non-metro areas and undercutting price points at ₹300 against SKINN's ₹2,000+ range. While digital campaigns for SKINN 24Seven deliver high engagement, recurring coupon discounts of 30% to 50% threaten mass-premium brand perception. Management must protect the core ₹1,000 to ₹3,000 margin band against commoditization while resolving direct-to-consumer order fulfillment friction.

Written off 60 sources for SKINN by Titan. Every claim is backed by the linked sources under each bucket.

Bucket 01

Competitor moves

What have the named competitors done in the last weeks that the desk should know?

Low-cost competitors are opening physical doors and targeting extreme value

Bella Vita is aggressively scaling both online and offline, expanding physical retail into tier-2 markets like Barnala, Punjab, and entering international showcases. Their aggressive pricing at roughly ₹300 creates stark price comparison against SKINN's core ₹2,000+ SKUs on fragrance forums. Additionally, their high-concentration product introductions, such as Beast Mode offering 40% perfume oil, directly target longevity-focused shoppers.

  • Bella Vita opened a physical retail outlet at HG Enton Plaza in Barnala, Punjab
  • Fragrance community discussions highlight extreme price gaps between Bella Vita at ₹300 and SKINN at ₹2,000+
  • Bella Vita launched Beast Mode for Men highlighting a 40% perfume oil concentration

What to do next: Monitor Bella Vita's offline retail conversion metrics in regional hubs to evaluate if low-ticket kiosks erode mall store traffic.

Low 8Medium 2instagram.com · 4facebook.com · 2reddit.com · 1linkedin.com · 1indianretailer.com · 1youtube.com · 1

Evidence behind the read

ReadSourceSeverity
All this hate on Bella vita and others : r/DesiFragranceAddicts - Reddit
Aren't Bella Vita and Titan skinn different product range itself. I got one Bella Vita for 300inr and same quantity of skinn would be 2k + ...Bellavita most selling in USAHonest reviews on bella vita perfumes?More results from www.reddit.com
reddit.comMedium
Watch Nykaa army share their reviews on these popular new fragrances ...
❄️Plum Moonkissed Drama ❄️Skinn By Titan Noura Floret Eau De Parfum ❄️Bella Vita ... M·A·C Cosmetics India Market. Follow.
instagram.comMedium
Bellavita live at Tones of Beauty #TOB2026 #TonesofBeauty2026
Photo by BELLAVITA Luxury UK on August 19, 2026. May be an ... #bellavitaluxury #perfume #luxuryperfume #voxpop #perfumelover (vox ...
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LUXURY PERFUME | Bella Vita - Facebook
New Launch Alert Beast Mode for Men. 40% perfume oil. Jul 14, 2026· LUXURY PERFUME New Launch Alert🚨🚨 Beast Mode for Men. 40% perfume oil. The ...
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an exclusive collection of eight fragrances inspired by the beauty ...
Eight ways to live la bella vita. From the quiet elegance of a Tuscan afternoon to the sun-drenched glamour of the Italian coast… each fragrance ...
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Bella Vita's Unconventional Path to Success in Indian Perfume Market
Brands like Skinn, Wild Stone, Engage, Park Avenue and others were already present in the accessible fragrance space. strong growth expected ...
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Bella Vita Continues to Grow Offline Presence, Unveils New Outlet in ...
Bella Vita is rapidly expanding its offline footprint in India with the launch of a new outlet at HG Enton Plaza, Barnala, Punjab.
indianretailer.comLow
DON'T Buy Bella Vita Perfumes Before Watching This - YouTube
... news reporting, teaching ... DON'T Buy Bella Vita Perfumes Before Watching This | My 2026 Ratings for Affordable Men's Fragrances.
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Luxury Perfumes on Instagram: " Pick a gift. Unlock your 2026 prediction ...
A perfect little combination of sparkle & scent ✨ Handmade gift packs Bellavita Senorita Woman Bellavita White Oud Simple ...
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Bellavita unveils a high-energy new campaign with Raghav Juyal ...
gulfgoodnews on January 22, 2026: "Bellavita unveils a high-energy new campaign with Raghav Juyal, encouraging fans to truly own their vibe.
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Bucket 02

Industry and category demand

Which way is the category itself moving, in volume and in value?

Rapid market expansion toward the ₹1,000 to ₹3,000 mass-premium segment

The Indian fragrance category is experiencing rapid structural growth, valued at over ₹8,300 Cr and projected by Technavio to expand from $1.02B to $3.80B by 2030 at a 23.7% CAGR. Consumer demand is decoupling from utilitarian deodorants toward fine perfumes as an expression of personal identity. This shift is creating a high-velocity mass-premium opportunity between ₹1,000 and ₹3,000, perfectly situated between mass deodorants and imported luxury brands.

  • Technavio forecasts the Indian perfume market to scale from $1.02B to $3.80B by 2030 at a 23.7% CAGR
  • The domestic fragrance sector has surpassed ₹8,300 Cr with the fastest expansion occurring in the ₹1,000–₹3,000 price band
  • Consumer demand is pivoting from functional daily deodorants to fine fragrance formulations

What to do next: Track the growth rate of entry-level Eau de Parfum lines relative to mass aerosol deodorants.

Low 6Medium 3High 1linkedin.com · 3fortunebusinessinsights.com · 1technavio.com · 1instagram.com · 1marketresearchfuture.com · 1grandviewresearch.com · 1

Evidence behind the read

ReadSourceSeverity
Perfume Market Size, Share, Growth, Industry Analysis, 2034
# Perfume Market Size, Share & Industry Analysis, By Type (Perfume, Eau de Perfume, Eau de Toilette, Eau de Cologne, and Eau Fraiche), By Product (Mass and Premium), By End-user (Men and Women), By Distribution Channel (Online and Offline), and Regional Forecast, 2026-2034 ## KEY MARKET INSIGHTS Moreover, the perfume m
fortunebusinessinsights.comHigh
India Perfume Market Analysis, Size, and Forecast 2026-2030 - Technavio
# India Perfume Market Analysis, Size, and Forecast 2026-2030 ## Market Overview at a Glance $3.80 B 23.7% CAGR 2025 - 2030 18.8% YoY growth 2025-2026(%) $1.02 B ![Technavio Plus](https://www.technavio.com/assets/images/tn-plus-icon.svg) ![Technavio Plus](https://www.technavio.com/assets/images/tn_plus.svg) ##
technavio.comMedium
India's perfume market has a huge gap - Instagram
The Indian fragrance industry has two extremes. On one side, you have luxury perfumes from global brands like Chanel and Tom Ford, often priced ...
instagram.comMedium
India's Fragrance Market Sees a Shift to Mass-Premium Brands - LinkedIn
India's ₹8,300 Cr+ fragrance industry … seeing an explosion of “mass-premium” brands filling the wide price-value gap between ₹1,000–3,000.
linkedin.comMedium
India Fragrance Market Size, Trends, Forecast | 2035
India Fragrance Market Size Anticipated to Reach at a 1536 USD Million with CAGR Of 4.24% By 2025-2035, Driven By Rising use of deodorants, perfumes, ...
marketresearchfuture.comLow
India Perfume Industry Outlook 2026–2034: Market Size, Growth and ...
The perfume industry in India reached USD 1,250.02 Million in 2025 and is projected to reach USD 1,999.32 Million by 2034, ...
linkedin.comLow
Perfume Market Size, Share & Trends Report, 2026-2033
# Perfume Market (2026 - 2033) $60.0B Market Estimate, 2026 $63.5B Market Forecast, 2033 $96.1B CAGR, 2026–2033 6.1% ## **Perfume Market Summary** Fragrance is increasingly viewed as a form of self-expression rather than a simple personal care item, prompting luxury fashion houses to elevate perfumery as a centr
grandviewresearch.comLow
India Perfume Gap Analysis 2026 | PDF - Scribd
The report analyzes the Indian perfume and fragrance market, highlighting its rapid growth and transformation influenced by rising disposable incomes, ...
scribd.comLow
Perfume Market Size, Trends and YoY Growth Rate, 2026-2033
# Perfume Market Analysis & Forecast: 2026-2033 ## Perfume Market Size and Trends - 2026 to 2033 To learn more about this report, [Request Free Sample](https://www.coherentmarketinsights.com/insight/request-sample/3072) ### Key Takeaways - Based on Product Type, the Premium segment is expected to lead with **56.2%** s
coherentmarketinsights.comLow
Fragrance Market 2026: Why Personalization and Sustainability ...
The Fragrance Market CAGR (growth rate) is expected to be around 2.3% during the forecast period (2025 - 2035). Fragrance Market: A ...
linkedin.comLow
Bucket 03

Brand online reputation

What are customers saying about the brand in public, and what is the recurring complaint?

Product reception remains positive but D2C fulfillment friction causes public escalations

Core fragrances enjoy healthy sentiment, evidenced by Amazon ratings of 4.3 out of 5 stars across 3,267 reviews for SKINN Celeste. However, direct e-commerce fulfillment shows operational vulnerabilities, with public complaints regarding paid orders failing to dispatch. Titan's customer relations desk is actively having to redirect payment and delivery disputes on social channels to direct support emails.

  • SKINN Celeste maintains a 4.3 out of 5-star rating on Amazon across 3,267 customer reviews
  • Consumer complaint filings report unfulfilled prepaid website orders for products such as SKINN Raw
  • Titan customer support actively diverts user complaints from X to socialtitan@titan.co.in

What to do next: Audit website checkout-to-delivery lead times and direct-to-consumer order fulfillment failure rates.

High 4Medium 4Low 2nykaa.com · 6consumercomplaints.in · 1facebook.com · 1amazon.in · 1x.com · 1

Evidence behind the read

ReadSourceSeverity
Titan Company Complaints & Reviews | Page 32 - Indian Consumer ...
I have placed a order on titan skinn website. The product was titan skinn raw. I had paid the whole amount of money using google pay. The price was 446 and ...
consumercomplaints.inHigh
MCaffeine Fien Men Rakhi Gift For Brother Perfume Set 12 Hrs Long ...
Rating 4.2(117) · 15-day returnsFor consumer complaints/queries/feedback: Contact us at the above marketed by address Customer Care No.: +91-9357933933 Email: woot@mcaffeine.com. Skinn By ...
nykaa.comHigh
Buy MCaffeine Fien Fierce Perfume For Men Online - Nykaa
Rating 4.2(8) · 15-day returnsFor consumer complaints/queries/feedback: Contact us at the above marketed by address Customer Care No.: +91-9357933933 Email: woot@mcaffeine.com Skinn By Titan
nykaa.comHigh
Skinn Customer Service Reviews - Facebook
Skinn skincare products get mixed reviews — many people love the eye balm, dermappeal exfoliator, and face oil, but customer service complaints are common ...
facebook.comHigh
Skinn By Titan Celeste Perfume for Women - Amazon.in
Rating 4.3(3,267)Customer Reviews 4.3 out of 5 stars 3,267Reviews … 4.3 out of 5 stars, 3,267 ratings Customer reviews 200+ bought in past week Price
amazon.inMedium
Bella Vita Organic Aquaman Long Lasting Eau De Parfume - Nykaa
Rating 5.0(7) · 15-day returnsRatings & Reviews 5/5 7 verified ratings. Skinn By Titan Raw Perfume For Men. Customers also bought 6 ₹499₹27445% Off!
nykaa.comMedium
Bella Vita Organic Superman Long Lasting Eau De Parfume - Nykaa
Rating 4.9(8) · 15-day returnsVT LTD Read more Ratings & Reviews 4.9/5 8 verified ratings. Skinn By Titan Raw Perfume For Men EDP
nykaa.comMedium
Replies by Skinn by Titan (@skinn_titan) / X
Kindly share the requested details via DM or email them to socialtitan@titan.co.in, so we can review the issue and assist you further.
x.comMedium
Fancy a fragrance wardrobe? | Nykaa's Beauty Book
Colognes are not appropriate. Titan Skinn Men's Raw Eau De Parfum … sweat and fragrance is a bad olfactory combination.
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Buy La Pink 24 Carat French Luxury Pure Perfume For Men Online - Nykaa
15-day returnsthe perfume is enduring enough to last long for more than 12 hours. Skinn By Titan Raw Perfume For Men
nykaa.comLow
Bucket 04

Pricing and offers in market

What price and offer message is live in the market right now?

Extensive couponing risks diluting SKINN's premium positioning

SKINN merchandise is currently subjected to widespread promo-code distribution across coupon aggregators, showing active discounts between 30% and 50% sitewide. While promotional cuts on lines like Skinn Tales and Discovery Kits drive acquisition, consistent markdowns compress gross margins toward mass price territory. Competitors holding sub-₹500 sticker prices intensify customer expectations for continuous promotional markdowns.

  • Major coupon sites feature active 30% to 40% sitewide discount codes for SKINN
  • Promotional vouchers offer up to flat 50% off on SKINN Tales and 20% off Discovery Kits
  • Mass market fragrance players anchor consumer price expectations at ₹274 to ₹499

What to do next: Tighten affiliate coupon distribution to curtail margin leakage and avoid brand cheapening.

Medium 10grabon.in · 1dontpayfull.com · 1simplycodes.com · 1hotdeals.com · 1cashaly.com · 1instagram.com · 1

Evidence behind the read

ReadSourceSeverity
Skinn Discount Codes: 40% OFF Coupon Code | Sep 2026 - GrabOn
Verified Skinn Discount Codes & Offers in Sep 2026 | Skinn by Titan Coupon Code: 40% OFF Sitewide Cosmetics | Flat 15% OFF First Order Promo Code.
grabon.inMedium
SKINN Discount Codes - 30% Off Coupon Code Sep 2026
We found 23 active SKINN discount codes & deals for September 2026. Get the latest offers for skinn.com and save up to 30% off your order.
dontpayfull.comMedium
Skinn Cosmetics Promo Codes - 20% Off (Verified) Sep 2026 - SimplyCodes
20 verified Skinn Cosmetics discount codes tested & working now. All skinn.com coupon codes tracked real-time. Plus 20% off codes & 17% average discount.
simplycodes.comMedium
SKINN Discount Code September 2026 - 35% OFF - HotDeals
25 active SKINN Discount Codes are available in September 2026, with up to 35% off your order. 7 discount codes for 20% off and 1 promo code for 10% off. 50% ...
hotdeals.comMedium
Titan Skinn Coupons & Offers: FLAT 50% Discount Code - Cashaly
Latest Titan Skinn Coupon Codes for January 2026 | Use Titan Skinn Offers to get FLAT 50% Off on buy tales perfumes online | Upto 20% Off on Discovery Kit.
cashaly.comMedium
30% discount Follow for more reel @explore_with_khatri #like #viral ...
5 days ago · scentadda. •. Follow · India. 42 likes. scentadda. FREEDOM SALE | Perfume Lovers Ke Liye Best Offers Scent Adda Freedom Sale is LIVE!
instagram.comMedium
BIG FRAGRANCE DISCOUNTS: 27 Deals You Need to See NOW
BIG FRAGRANCE DISCOUNTS: 27 Deals You Need to See NOW ➡️ Buy NEW ScentClub Kit #20: https://theperfumeguy.net/ScentClub/Kit20 ➡️ Buy ...
youtube.comMedium
Best time/sale to buy Luxury perfumes? : r/IndianBeautyDeals
Where can i find fragrances for less money than retail? (safe) · r ... Sharing latest Deals / Discounts on the Indian Beauty Market. Show ...
reddit.comMedium
Sale | Upto 50% off* on Fragrances - Sephora India
Shop now to enjoy the best beauty deals online at Sephora. Save big on your favourite fragrances with limited-time discounts, promotions and offers!
sephora.inMedium
Buy Sale Perfumes Online In India - Scentira
Sale Perfumes - Buy premium Sale perfume online in India for men & women at best price from Scentira. Explore the best-selling genuine Sale colognes ...
scentira.inMedium
Bucket 05

Retail network and expansion

Where is retail space being added, by the brand and around it?

Offline footprint expands via flagship boutiques and top-tier malls

SKINN is executing targeted physical retail expansion, opening dedicated boutique concepts at Seawoods Grand Central in Navi Mumbai and Vegas Mall in Delhi-NCR. This boutique strategy supports the brand's network of over 6,000 points of sale across India. Physical footprint growth is complemented by quick-commerce dark store integration to address rapid delivery demand.

  • SKINN launched a dedicated flagship boutique at Seawoods Grand Central in Navi Mumbai
  • Retail presence expanded in Delhi-NCR through a new boutique at Vegas Mall
  • The brand leverages a network spanning more than 6,000 points of sale nationwide

What to do next: Track sales velocity and sales per square foot across new standalone boutiques versus shop-in-shop department channels.

Low 7Medium 3skinn.in · 2linkedin.com · 2youtube.com · 1technavio.com · 1instagram.com · 1infashionbusiness.com · 1

Evidence behind the read

ReadSourceSeverity
SKINN: Buy Best Perfumes For Men & Women Online
4.2155 · 7-day returnsAt our new store in Seawoods Grand Central, discover perfumes picked for how you live, feel, and dream. Step in, slow down, and find the one that speaks to you.
skinn.inMedium
Titan Unveils Skinn 24Seven, New Fragrance Makes Foray ... - YouTube
Titan makes foray into affordable market as it launces it's new fragrance 24Seven in Skinn Fragrance series. The fragrance is priced at Rs ...
youtube.comMedium
India Perfume Market Analysis, Size, and Forecast 2026-2030 - Technavio
# India Perfume Market Analysis, Size, and Forecast 2026-2030 ## Market Dynamics - A robust online perfume retail strategy is non-negotiable, as consumers increasingly turn to digital channels for discovery and purchase; companies with strong e-commerce and perfume subscription box services have seen customer acquisiti
technavio.comMedium
Vegas Mall Welcomes SKINN by Titan and LoveChild Masaba to Enrich ...
The new openings strengthen the mall's focus on offering a diverse mix of beauty and lifestyle products to shoppers in Delhi-NCR.
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Store Locator - SKINN
FIND A STORE NEAR YOU location-icon. Please Enter City or Pincode SKINN … © 2026 Titan Company Limited.
skinn.inLow
Skinn By Titan Opens Fagship Fragrance Boutique At Seawoods ...
Located in one of Navi Mumbai's most vibrant shopping destinations, the new Skinn store at Seawoods Grand Central is now open to the public.
infashionbusiness.comLow
How Skinn By Titan built a ₹500+ crore perfume brand - LinkedIn
Skinn is a ₹500+ crore perfume brand with plans to hit ₹1,000 crore in 2025. the goal is to open the best store in the top 30 to 40 markets of ...
linkedin.comLow
Retail India News: SKINN by House of Titan Launches Affordable ...
The company has significantly expanded its operational footprint, with Minutes now operating through more than 1,000 dark stores spread across ...
indianretailer.comLow
Perfume Dealers Skinn in Agra - Men & Women's Cologne - Justdial
Kamla Nagar, Agra. Opens at 10:30 AM V. City Phase 1, Delhi Fragrance Lounge. Kamla Nagar, Agra - 282004
justdial.comLow
Fragrance market in India: Insights on growth, influencers, and brands
The perfume & deodorant market in India was valued at USD 2.6 billion in 2024, projected to reach USD 6.7 billion by 2033, at a CAGR of ~11.1%
linkedin.comLow
Bucket 06

Digital and social conversation

What is the brand's conversation on social, creator and video platforms?

Influencer campaigns deliver strong reach for new launches

SKINN's creator marketing is generating measurable awareness, highlighted by an eight-creator campaign for 24Seven that garnered over 7.5 million views. Content execution is heavily focused on occasion-based gifting, retail trial experiences at Lifestyle Stores, and film storytelling through Supari Studios for Skinn Noura. Maintaining engagement requires translating these view counts into verifiable trial and conversion.

  • The SKINN 24Seven creator campaign secured over 7.5 million views across social platforms
  • SKINN collaborated with Lifestyle Stores and beauty creators for live in-store trial content
  • Titan partnered with Supari Studios to produce a dedicated launch film for Skinn Noura

What to do next: Measure conversion lift from creator-driven discovery directly to store footfall and sample kit orders.

Low 10instagram.com · 6facebook.com · 1youtube.com · 1exchange4media.com · 1afaqs.com · 1

Evidence behind the read

ReadSourceSeverity
flynt.social on Instagram: "What do you get when 8 power-packed creators ...
What do you get when 8 power-packed creators drop SKINN by Titan's 24Seven fragrance into the spotlight? 7.5 million+ views. And organic ...
instagram.comLow
In beauty, discovery is often the first step to conversion and fragrance is ...
... collaboration, we brought together Lifestyle Stores, SKINN by Titan, and a beauty creator to turn an in-store fragrance trial into content ...
instagram.comLow
Skinn by Titan (@skinn_titan) • Instagram photos and videos
110K followers · 1 following · 1317 posts · @skinn_titan: “From the House of Titan. This Raksha Bandhan, gift SKINN to the one you know by heart.”
instagram.comLow
In beauty, discovery is often the first step to conversion and fragrance is ...
For this collaboration, we brought together Lifestyle Stores, SKINN by Titan, and a beauty creator to turn an in-store fragrance trial into ...
facebook.comLow
Raw Instinct from Skinn by Titan. A fragrance that captures bold energy ...
A fragrance that captures bold energy and elegance, making every moment unforgettable. Gift your loved ones the essence of confidence and style ...
instagram.comLow
Skinn by Titan on Instagram: "Celebrating the laughter shared ...
Celebrating the laughter shared, the memories made and the glow of the moments that stayed. SKINN fine fragrances always keep the ones you ...
instagram.comLow
Skinn Titan - YouTube
If you're curious why Titan launched SKINN, their perfume brand, this episode has all the answers. ... Unveiling the new Noura Nectar, Eau De Parfum by Skinn By ...
youtube.comLow
Skinn by Titan partners with Supari Studios to create launch film for ...
Skinn by Titan partners with Supari Studios to create launch film for Skinn Noura. The campaign will emphasise how the right perfume elevates ...
exchange4media.comLow
Titan's SKINN wants you to smell like a celebration this festive season
SKINN fine fragrances from the House of Titan has launched its new festive campaign film Let the Celebrations Come Alive in Your SKINN.
afaqs.comLow
SKINN by Titan introduces Noura Nectar, a fine fragrance crafted for her
SKINN by Titan introduces Noura Nectar, a fine fragrance crafted for her — with model and actress Shibani Dandekar fronting the campaign. Read ...
instagram.comLow

How each bucket is built

#BucketThe question it answersWhat it reads
01Competitor movesWhat have the named competitors done in the last weeks that the desk should know?Launches, store openings, campaigns, price led offers, funding and leadership news.
02Industry and category demandWhich way is the category itself moving, in volume and in value?Category growth, input costs, festive and season demand, regulation and duty.
03Brand online reputationWhat are customers saying about the brand in public, and what is the recurring complaint?Reviews, complaint boards, consumer forums, service and delivery grievances.
04Pricing and offers in marketWhat price and offer message is live in the market right now?Discount events, exchange schemes, making charge and bank offers, marketplace pricing.
05Retail network and expansionWhere is retail space being added, by the brand and around it?New stores, city entries, franchise news, mall and high street expansion.
06Digital and social conversationWhat is the brand's conversation on social, creator and video platforms?Creator collaborations, campaign reception, trending formats, share of voice.

Results are ranked by how sharply they read against the brand, so complaints and competitive moves surface first. Severity is a keyword read on the headline and summary, not a judgement.

Value model

Move any input. Everything recalculates. Every figure starts from the published SKINN by Titan network and is editable.

Inputs
Modelled outcome, a year
₹6.6 Cr
From enquiries answered and converted
₹11 Cr
From dormant customers brought back
₹95.3 L
Service handling cost avoided
₹18 Cr
Total modelled value, before any fee

Service saving is modelled at ₹42 of handling cost avoided per conversation the desk closes without a store call back.

Data readiness

What is connected on day one, what is modelled today, and what SKINN by Titan needs to hand over for the pilot to go live.

InputStatusNote
Store network and locationsPublished6,000+ Points of sale carrying SKINN
Category and price ladderPublishedFrom the brand range
Enquiry volume and source mixModelledFrom comparable networks of similar store count
Customer book and dormancyModelledReplaced in one session with the brand team
Service job volume and turnaroundModelledFrom service desk throughput benchmarks
Loyalty tier membershipModelledTier structure as published
Consent and contactability flagsNeededRequired before the first outbound call

What is needed to go live

  • A contactable customer extract with consent flags, in any format.
  • Store and advisor calendars, or a single sheet per region to start.
  • One session with the SKINN by Titan team to replace every modelled volume with the brand's own.

Required inputs

What the SKINN by Titan team hands over, in whatever format it already exists, for the pilot to run on the brand's own numbers.

InputOwnerFormat that is enoughNeeded by
Contactable customer extract with consent flagsHead of customerCSV or a database viewBefore the first outbound call
Enquiry feed from website, store and marketplaceHead of marketingWebhook or a daily fileWeek 1
Store and advisor calendarsHead of retailOne sheet per region to startWeek 1
Category and price ladder in forceHead of retailThe current range sheetWeek 1
Replenishment bookHead of optometryAccount level extractWeek 2
Service and job recordsHead of serviceExport from the service systemWeek 2
Telephony numbers and caller IDHead of retailNumbers plus provider accessBefore go live

Nothing here blocks the console. Every input replaces a modelled figure already on the screen.

Method and limits

How the pilot runs on SKINN by Titan, week by week, and what the system will not do.

WeekWhat happensWhat the brand sees
Week 1Data session, scripts drafted, numbers provisionedConsole on the brand's own figures
Week 2Both agents live on a small call listFirst conversations and quality scores
Weeks 3 to 6Ladders switched on segment by segmentWeekly reason codes and outcomes
Weeks 7 to 12Appointments, service and the trigger desk addedValue model against actuals
Month 6Review against the modelKeep, widen or stop, in writing

What this system will not do

  • It will not quote a price, a discount or a making charge outside the published range.
  • It will not claim a warranty outcome before the service centre has confirmed it.
  • It will not call a customer who has declined or opted out, for any reason.
  • It will not score, rank or profile an individual customer or an individual advisor.
  • It will not pretend to be human when asked directly.

Commercial terms

One flat retainer for the platform and the desk, usage billed as pass through at cost, and a review at month six.

ScopeWhat it coversCommercial
Pilot, one brandSKINN by Titan consoles, both voice agents, the desk and the quality recordFlat monthly retainer
Group scopeEvery Titan brand on the same platform and identity spineRetainer per brand, tapering
UsageTelephony, transcription and model usagePass through at cost, itemised
Carried free until month sixConsole build, script work, audit rubric and reportingNo charge

Governance

  • No individual customer is scored, profiled or ranked. Quality sits at store and issue level only.
  • Consent and do-not-call flags are respected on every attempt, with a stop rule per segment.
  • Every conversation is retained for a stated window and is available to the brand team in full.