Merch Command™ · FyreOps Retail Intelligence

Increase your
Revenue Per Visitor
by 15–30%

We find the exact reasons why your shoppers leave without buying — and deploy AI-led merchandising intelligence to turn them into revenue. No extra traffic required.

Research-led CRO for omnichannel retailers doing ₹50Cr–₹500Cr+ across India and Southeast Asia

Live · Client revenue lifted
₹38,41,10,422
across active retail clients · India & Southeast Asia
+22.6%
PDP Conversion
+14.2%
Checkout Rate
+18.9%
RPV Lift
−28%
Cart Abandon
Rolling 90-day median
+19.4%
Median RPV Lift
/01 · The Diagnosis
You're driving traffic.
People land. Then — they vanish.

Bounces aren't random. They're shoppers reacting to something specific — a banner that promises one thing and delivers another, a PLP that buries the product they came for, a checkout that adds one step too many. Most teams never find out what.

01
"They weren't the right audience"
→ 79% matched your ICP. The page failed them.
02
"It's a pricing problem"
→ Price wasn't mentioned in 64% of exit surveys.
03
"We need more traffic first"
→ Same traffic. 19% more revenue. We've done it repeatedly.
04
"Our team already tested this"
→ They tested surface. We test psychology + revenue causation.

In 14 days we tell you exactly why — with session evidence, behavioral hypotheses, and a prioritized action plan ranked by estimated ₹ impact.

Book your free audit
Revenue leakage surfaced · avg audit
11L–48L
Identifiable, rupee-quantified revenue lost per week from merchandising, UX, and campaign friction — before we change anything.
Sessions analyzed · standard engagement
3,000+
Session recordings, scroll maps, exit surveys, GA4 funnel exports. We don't guess — we watch shoppers fail and diagnose exactly why.
A/B test win rate
67%
Because tests are built on behavioral evidence. Industry average: 12–20%.

We identify a minimum of 5 high-confidence revenue actions within 14 days — or the audit is fully refunded. No obligation. No pitch deck.

/02 · Live Workflow Simulation
From onboarding to documented revenue — watch it happen

This is the exact sequence every engagement runs through. Click each stage to see the real work — data ingestion, behavioral analysis, AI diagnosis, test execution, and compounding outcomes.

Onboarding · Day 1–2
09:02SYSTEM
Access granted: GA4 · Shopify · Hotjar · Meta Ads Manager
09:04SYSTEM
Stakeholder brief received. Primary goal: improve mobile conversion. Secondary: reduce cart abandonment. Festive season in 38 days.
09:18DATA
Baseline established — last 90 days: Mobile CVR 1.4% · Desktop CVR 2.9% · AOV ₹2,840 · Cart abandon 73.2%
Mobile CVR
1.4%
Industry avg 2.2%
Cart Abandon
73.2%
Benchmark 58%
RPV
₹39.76
Target ₹55–60
10:45SYSTEM
Heatmap tracking scripts deployed — no site changes. Pixel firing confirmed on PDP, Cart, Checkout.
11:30SYSTEM
Exit survey deployed: 3-question micro-survey on mobile cart page. Expected 200–400 responses over 7 days.
Onboarding is complete in 48 hours. No dev resources needed. No site downtime. Your team does nothing — we handle instrumentation end to end.
Data Ingestion · Day 3–7
Day 3DATA
3,241 session recordings ingested and clustered. 62 heatmaps rendered. Scroll depth mapped across 14 key pages.
Day 4DATA
912 exit survey responses processed. Top reported friction: "Couldn't find size info" (31%) · "Delivery timeline unclear" (24%) · "Felt unsure about return" (19%)
Day 5AI
GA4 funnel export analyzed. 47% of mobile drop-off concentrated between PLP → PDP transition. Scroll analysis confirms top products below fold on 320–375px devices.
🔍
Cluster identified: Users who reach PDP on mobile but exit before adding to cart — 3.4x higher share than desktop equivalent. Root cause: competing elements in ATF zone creating decision paralysis.
Day 6DATA
Session replay analysis: Women's Apparel PDP — 68% of mobile sessions show scroll to size chart, then immediate exit. Size chart opens in modal with 3 taps. Friction confirmed.
Day 7DATA
Banner performance cross-referenced with revenue. Homepage hero banner #3: CTR 4.2% but revenue-per-click ₹18 vs ₹67 on banner #1. Traffic being misdirected.
Sessions Watched
3,241
Exit Surveys
912
Drop Clusters Found
7
AI Revenue Diagnosis · Day 8–14
08:00AI
7-driver friction mapping complete. Scoring each page against: Clarity · Trust · Urgency · Friction · Relevance · Value · Social Proof
Women's Apparel PDP · Clarity28/100
Women's Apparel PDP · Trust41/100
Cart Page · Urgency19/100
Checkout · Friction34/100
Homepage · Relevance72/100
09:45AI
Revenue leakage quantified per friction point. Top leak: Size chart UX — estimated ₹14.2L/month. Second: Cart trust signals absent — ₹8.7L/month. Third: Homepage banner misdirection — ₹6.1L/month.
💡
The team assumed the problem was pricing. Exit surveys disagree. 64% of abandoners never mentioned price. The real friction is clarity + trust — both fixable without touching margins.
Day 14DELIVERABLE
Behavior Atlas delivered — 44pp. 7 friction points diagnosed. 5 high-confidence hypotheses generated. Test roadmap ranked by ₹ recovery potential.
Total Leakage ID'd
₹31.4L
per month
Hypotheses
5
ranked by impact
Confidence
High
evidence-backed
Tests Live · Day 15–30
Day 15TEST LIVE
Test #1: Size guide inline on PDP vs modal tap (Control). Hypothesis: reducing taps to size info will increase add-to-cart by 12–18%.
Day 17TEST LIVE
Test #2: Cart trust signals — delivery ETA + return policy visible vs buried in footer. Hypothesis: reduces anxiety-driven abandonment.
Day 19TEST LIVE
Test #3: Homepage hero banner sequence — revenue-ranked order vs editorial order. 50/50 split. No visual change to users.
Day 24RESULT
Test #1 reaching significance. Variant +19.3% add-to-cart on mobile. Deploying to 100% traffic. Dev team: zero involvement needed.
Test #1 winner deployed in same week. No dev tickets. No sprint planning. We wrote, QA'd, and shipped the change ourselves. Your team was notified — not consulted.
Day 28RESULT
Test #2 at 94% confidence. Cart abandon −22% on variant. Calling win early — festive season traffic incoming, deploying now.
Day 30DELIVERABLE
30-day report delivered. 2 winners shipped. 1 test running. RPV moved from ₹39.76 → ₹48.20. Festive season brief generated for Phase 2.
Tests Live
3
Winners Deployed
2
RPV Day 30
₹48.20
was ₹39.76
Compound Outcome · Day 31–90
90-Day RPV Movement
₹39.76
Day 1 baseline → Day 90 outcome
Day 45COMPOUND
Winner patterns from PDP applied to 3 adjacent categories. No new research needed. Same fix, 3 more pages. Mobile CVR up across all.
Day 52TEST LIVE
Test #4: Checkout step reduction — 4-step → 2-step with address autocomplete. Sample size reached in 6 days at current traffic.
Day 61RESULT
Checkout test: +11.2% checkout completion. Deploying. Pattern library updated: "Step reduction on mobile checkout = high-confidence win".
Day 78COMPOUND
Festive season traffic spike. Seasonal banner intelligence deployed — urgency signals activated 72hrs before peak. Conversion held through traffic surge.
📈
By Day 90, 6 tests shipped, 4 winners deployed, pattern library has 12 entries. Each new test wins faster because the system knows what your shoppers respond to.
Priority Actions · Ranked by ₹ Recovery
#1 · SHIPPEDInline size guide on PDP mobile+₹14.2L/mo
#2 · SHIPPEDCart trust signals — delivery ETA + returns+₹8.7L/mo
#3 · SHIPPEDHomepage banner sequence revenue-ranked+₹6.1L/mo
#4 · SHIPPEDCheckout step reduction + autocomplete+₹5.8L/mo
#5 · LIVESocial proof placement ATF on PDPest. +₹4.4L/mo
/03 · Technical & Operational Workflow
Every tool. Every step.
Every decision — explained.

Built for technical leaders who need to trust the process before signing off. Five phases, 25 steps, every tool justified with the reason it was chosen over the alternative.

Engagement timeline
/03 · The Methodology
Five stages. Engineered lift.

Borrowed from enterprise experimentation teams. Tuned for high-complexity omnichannel retail in India and Southeast Asia.

01
Observe

Behavioral Intelligence Ingestion

3,000+ session recordings, scroll maps, exit surveys, GA4 funnel exports. We watch shoppers fail before we hypothesize anything.

↳ Behavior Atlas · 40pp
02
Diagnose

Revenue Leakage Mapping

Every drop-off mapped to one of 7 behavioral drivers. Root cause documented. Rupee impact estimated per friction point.

↳ 7-Driver Friction Map
03
Prioritize

Impact-Ranked Test Roadmap

Hypotheses scored by estimated revenue recovery, implementation effort, and statistical risk. Highest-value tests run first.

↳ 90-Day Test Roadmap
04
Test

Concurrent A/B Engine

4–8 tests running simultaneously. Design, dev, QA, and stats in-house. Win rate 67% vs 12–20% industry average.

↳ Weekly Velocity Reports
05
Compound

Pattern Intelligence Loop

Winners scaled across all relevant pages and categories. Losses analyzed for insight. The system gets smarter every sprint.

↳ Living Pattern Library
/04 · Case Studies
Proof, not promises.

Four engagements. Real behavioral insight. Real rupees added to P&L.

/01
Fashion · Omnichannel · India

PDP rebuilt as a purchase decision engine, not a product page

Exit surveys showed 61% of mobile dropoffs happened at the size guide — before add-to-cart. Trust signals below the fold. ATF hierarchy restructured, social proof moved, 3 CTA variants run concurrently.

+134%
Revenue Per Visitor
+118%
Total Revenue
Full teardown →
/02
Lifestyle Retail · Southeast Asia · Multi-market

Cart abandonment cut by fixing the assumption everyone got wrong

Team believed price was the exit trigger. Exit survey data disagreed — delivery anxiety drove 24% of abandons. Added real-time ETA display, not a discount. Cart abandon fell and margin was protected entirely.

−31%
Cart Abandon
+19%
RPV
Full teardown →
/03
Beauty · D2C · India Mobile-first

Homepage hero rebuilt for device-specific buying psychology

Mobile and desktop users were served identical homepage experiences. Behavioral data showed urgency-led messaging converted 22% better for mobile evening sessions. Separate creative logic deployed by device and time window.

+31%
Mobile AOV
+22%
Homepage RPV
Full teardown →
/04
Grocery · Category Page · Multi-city

Category page rebuild nearly doubles PDP visits without SEO changes

Product grid sequence was inventory-driven, not conversion-driven. AI-ranked ordering by add-to-cart probability tested against default. Scroll depth up 44%, PDP visits nearly doubled, zero additional traffic cost.

+96%
PDP Visits
+22%
Category CVR
Full teardown →
/05 · Revenue Intelligence Score
How much revenue are you currently losing?
Benchmarked against 180 retail teams across India & Southeast Asia
Identifies your single highest-priority leakage vector
Personalized rupee-impact recommendation included
No email required — result is instant
Revenue Intelligence Score
Q1 of 5
/06 · The Difference
Merch Command™ vs
Generic Agency vs In-house
Dimension Merch Command™ Typical Agency In-house Team
Senior strategist ownership Dedicated, named Rotating junior Marketer wearing 3 hats
Research before any test 40+ hrs · 3,000+ sessions Best-practice checklist Founder intuition
Concurrent A/B tests 4–8 parallel, always 1–2 at a time 0–1
AI revenue leakage detection Live · ₹ quantified None None
Psychology framework 7-driver behavioral map Generic heuristics None
A/B test win rate 67% 12–20% Unmeasured
Time to first test live 2–3 weeks 6–10 weeks Whenever
Dev resources needed Zero from your side Usually yes Competes for sprint
Outcome guarantee 5 actions or full refund
/07 · Engagement Models
Choose your growth path.

Every engagement starts with the complimentary diagnostic. We both know the opportunity before any scope is agreed.

Entry · First-time clients
Diagnostic Audit
Complimentary
14 days · no obligation
  • Session recording analysis (3,000+ sessions)
  • Heatmap + scroll map audit
  • 7-driver friction mapping
  • Top-5 hypothesis teardown with ₹ impact estimate
  • 60-min revenue strategy call
  • Prioritized 30-day action roadmap
Book audit →
Most Common · 3-month minimum
Intelligence Sprint
₹3L–8L/month
Usage-based · scales with traffic volume
  • Everything in Diagnostic Audit
  • Revenue Leakage Radar™ — live monitoring
  • 4–6 A/B tests per month, concurrent
  • AI Merchandising Copilot™ access
  • Design + dev + QA fully in-house
  • Weekly velocity reviews
  • Monthly compounding RPV report
Start a sprint →
Enterprise · Annual
Revenue Command
₹30L–2Cr+
Custom scope · multi-market
  • Full 9-module Merch Command™ platform
  • 8+ concurrent A/B tests
  • Multi-market behavioral splits
  • Campaign Autopsy Engine™
  • Executive Revenue Command Center™
  • ERP + analytics + CRM integration
  • Performance-linked pricing available
Request proposal →
🔒

The Revenue Guarantee

We identify a minimum of 5 high-confidence merchandising and UX actions with documented rupee-impact estimates within 14 days — or the audit is fully refunded. No exceptions, no fine print.

  • ✓ Complimentary diagnostic audit — no obligation
  • ✓ 14-day delivery — findings with ₹ impact estimates
  • ✓ Revenue guarantee — 5 actions or full refund
  • ✓ Zero dev resources needed on your side

Start Your 30-Day
Revenue Recovery Audit

Tell us about your ecommerce setup and where you think revenue is leaking. We'll show you — in 15 minutes — what our diagnostic finds in your current funnel. No pitch deck. No templates. Just your data and documented findings.

48-hour onboarding: GA4 + platform access, tracking deployed, exit surveys live. Zero code changes on your side.
🔍3,000+ sessions reviewed: Behavioral research before any hypothesis is written. We find what's actually causing drop-off.
📊The guarantee: 5 high-confidence actions with documented ₹ impact estimates in 14 days — or a full refund. No exceptions.
4 audit slots remaining · May 2026 · India & Southeast Asia
Book Your Free Revenue Audit →
No spam · Response within 24 hours · Guarantee included
/08 · Questions
You're probably wondering.
Good. We bring research infrastructure, behavioral rigor, and test velocity — not replacement headcount. Most of our clients have internal ecommerce teams. We act as their dedicated experimentation bench. Your team keeps managing the platform; we run the intelligence and testing layer on top.
No. Tests are QA'd on BrowserStack before going live. We isolate tests to prevent cross-contamination. Your dev team is not involved unless you want them to be. Rollback is instant if any test shows negative movement.
The Sprint engagement is designed for 50,000+ monthly sessions. The Diagnostic Audit works at any scale — we diagnose the friction even if we can't run statistically significant tests yet. Enterprise engagements are calibrated to your traffic volume per market.
Diagnostic findings in 14 days. First A/B tests live in 2–3 weeks. Initial results within 30–45 days. The compound curve becomes visible at the 90-day mark — that's when the pattern library starts accelerating the win rate.
It's an advantage. Multi-market operations surface behavioral variance invisible in aggregate data. Our intelligence layer runs split analyses by market, device type, and buying window — winning insights in one market are tested and deployed in others with localization applied. Multi-market clients typically find 20–35% more leakage than equivalent single-market brands.
Available on Enterprise engagements. We agree a baseline RPV from the 90-day pre-engagement period. Our fee is partially tied to documented lift above that baseline. We earn more when you earn more. Details discussed on the strategy call.
The next 14 days

Find out exactly why your shoppers leave.
Then stop it.

Complimentary diagnostic audit. Delivered in 14 days. No obligation — just a prioritized roadmap to the revenue you're currently losing, with rupee-impact estimates for each opportunity.

Book a strategy call
4 audit slots remaining · May 2026 · India & Southeast Asia

Stop losing
revenue
you've already earned.

The traffic is there. The intent is there. The gap is between intent and purchase — and it's measurable, diagnosable, and fixable. We'll show you exactly where in 14 days.

4 audit slots remaining · May 2026 · India & Southeast Asia