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Now onboarding funded D2C brands · IN · AE · US · EU

Lower CAC.
Higher ROAS.
Compounding winners.

Bigtam is a machine-learning performance desk for D2C brands. We engineer the numbers your board asks about — CAC, ROAS, CTR, funnel efficiency — using deep data analysis, then compound what's already working.

CAC engineered weekly ROAS on proven winners CTR via pattern detection ×Funnel compounded
bigtam.co / ml-engine
ML inference active

Performance parameters engineered.

Last 7 days
Blended CAC
₹412−38%
Blended ROAS
3.24×+2.1×
CTR · Winners
4.8%+2.3pp
CPC · Winners
₹6.1−42%
ATC Rate
12.4%+4.1pp
Checkout CVR
3.9%+1.2pp
LTV : CAC
4.1:1+1.6×
Contribution Margin
34%+11pp
ML operations · running
09:42Audience cluster #7 detected · high-LTV signalScaled
09:38Hook pattern "Before I tried..." breaking 3.8× ROASExpanding
09:21Creator @priya.skinco → LAL seededLive
08:54ROAS decay flagged on ad set #142Paused
Incremental ROAS vs Platform-reported · 90d
Incremental Platform
Current · 3.24× incremental Gap to platform · +0.9×
Winning creative patterns
14 detected
"Before I tried…" problem-hook3.9×CONF 98%
Unboxing + reveal cut3.4×CONF 94%
Expert / dermatologist angle3.0×CONF 91%
Day-in-life usage demo2.6×CONF 88%
Side-by-side comparison2.3×CONF 85%
48%
CAC reduction
in the first 60 days
2.8×
ROAS achieved
on scaled winners
7d
To surface your first
winning signal
3×
Quarterly funnel
compounding on winners

What we operate.

Four services. One outcome: a paid-media system that finds your winners and compounds them. We don't sell activity. We run your growth stack end to end.

01Core Service

Performance Marketing

Daily ad operations across every channel your brand runs — Meta, Google, TikTok, YouTube, Amazon. Campaign architecture, bid management, budget pacing, creative iteration — executed as one continuous system, not isolated activities.

  • Campaign architecture + daily bid management
  • Budget pacing against ROAS + contribution margin
  • Weekly optimization reviews, monthly deep-dives
  • Multi-channel coordination across 5+ platforms
02Core Service

Creator Campaigns

End-to-end creator-program operations engineered for performance, not impressions. Creator identification, deal structuring, content briefs, rights management — every creator tracked to incremental revenue, not vanity reach.

  • ML-scored creator sourcing + vetting
  • Deal structuring — flat, hybrid, or CPA-linked
  • Content briefs, rights and usage management
  • Creator-level ROAS + incremental-lift tracking
03Core Service

Full-Funnel Execution

TOFU, MOFU, BOFU — operated as one funnel, not three campaigns. Prospecting into retargeting into conversion, with landing-page and offer testing at each stage. Nothing leaks between layers.

  • Prospecting + retargeting architecture
  • Landing page + offer testing (Fermat / Shoplift)
  • Retention + lifecycle integration
  • Stage-level ROAS + funnel-efficiency dashboards
04Core Service

Measurement & Attribution

Platform-reported ROAS isn't the truth. We build a measurement stack that tells you what's actually driving incremental revenue — weekly geo-holdouts, post-purchase surveys, and marketing mix models.

  • Weekly geo-holdout incrementality tests
  • Post-purchase survey integration
  • Marketing mix modelling + platform reconciliation
  • CAPI + server-side event infrastructure

What we've changed.

Indicative outcomes from funded D2C brands we've operated for. Brand names withheld under NDA — the category, the change, and the numbers speak for themselves.

Skincare · Premium
IN · ₹18Cr ARR

"Winners buried inside a bloated account."

Challenge Brand was spending ₹45L/month across 140+ ad sets with blended ROAS stuck at 1.6×. Platform dashboards said everything was "working." Board was skeptical.
  • Collapsed 140 ad sets into 18 audience clusters — ML-identified
  • Reallocated 73% of budget into top 6 winning audiences
  • Paused 62 losing ad sets costing ₹14L/month for zero return
  • Deployed "Before I tried…" hook pattern across 3 creators
−52%
CAC
3.4×
ROAS
+38%
CM
Wellness · Supplements
AE · Dh 22M ARR

"High spend, flat ROAS, burning creators every 4 weeks."

Challenge Brand was onboarding 8–10 creators per month, burning them out fast. Creator-level attribution was non-existent. ROAS stuck at 2.1× for 6 quarters.
  • Built creator-level attribution into WhatsApp + checkout events
  • Identified 3 creators driving 67% of incremental revenue
  • Tripled spend on winners, killed 11 underperformers
  • Extended winning creator patterns into paid ads (LAL seed)
−41%
CAC
4.2×
ROAS
+2.9×
CTR
Pet Care · Subscription
IN · ₹9Cr ARR

"Platform said 3.8× ROAS. CFO said inventory's not moving."

Challenge Meta reporting 3.8× ROAS, Google 4.2×. Actual LTV:CAC was 1.9:1 and contribution margin negative. Pure platform-attribution inflation.
  • Ran weekly geo-holdouts to isolate incremental revenue
  • Measured true blended ROAS at 2.1× vs reported 4.0×
  • Rebuilt bidding around incremental, not platform ROAS
  • Shifted 44% of budget from prospecting to retention
+3.1×
LTV:CAC
+22pp
CM
2.8×
Inc ROAS

Want a case study for your brand?

30 minutes with a Bigtam operator. We'll audit your live ad accounts, identify three specific CAC or ROAS improvements already hidden in your data, and return a written report.

A machine-learning layer on your paid media.

The Bigtam ML layer reads every signal your brand generates across Meta, Google, TikTok and creator campaigns — then surfaces what's working and expands it. Three inputs. Three categories of winners. One compounded funnel.

1Your signals feed in
2ML layer identifies winners
3Your funnel expands on them
Input · 01
Ad account telemetry
Every impression, click and conversion across Meta, Google, TikTok, YouTube.
Input · 02
Creator campaign data
Creator-level performance, audience lift, content-format signals.
Input · 03
Purchase + post-purchase signals
First-party events, post-purchase surveys, LTV cohorts.
Bigtam ML Layer
Patterns inferred.
Winners identified.
→ Audience clustering
→ Creator affinity modelling
→ Creative-pattern detection
→ ROAS-decay curves
→ Incrementality triangulation
Winner · 01
Your winning audiences
The 10–15% of segments that drive 60–80% of margin.
Winner · 02
Your winning creators
Creators whose content actually converts — not just performs on reach.
Winner · 03
Your winning patterns
Hook formats, angles and structures that repeat across winners.
Your funnel, expanded
Budget shifts weekly toward proven winners. Lookalikes built. Geos opened. Winners compound.
−48%CAC 2.8×ROAS Scale/Q
Operating across every major performance channel your brand runs today
Meta Ads Google TikTok YouTube Amazon DSP Snapchat Pinterest

Where we perform best.

We pick categories where fat gross margins and high purchase frequency let winners compound. We skip categories where returns, thin margins or hyper-competition kill ROAS.

01 / 08
Skincare
02 / 08
Wellness
03 / 08
Healthcare
04 / 08
Gadgets
05 / 08
Home Care
06 / 08
Pet Care
07 / 08
Personal Care
08 / 08
Nutraceuticals
Excluded by design — Fashion · Apparel · Snacking · low margin, high return rate, ROAS-hostile

Not an agency.
A performance desk.

— What you'll stop dealing with

  • ×Month-end reports you don't read.
  • ×Strategy decks instead of operations.
  • ×Account managers between you and the work.
  • ×Retainers that bill for hours, not outcomes.
  • ×Agencies that claim credit for organic lift.

→ What you'll actually see

  • Winners identified inside 7 days.
  • Budget reallocated weekly toward proven converters.
  • Contribution margin tracked, not just ROAS.
  • A direct line to the operator on your account.
  • A 90-day commitment to CAC, ROAS and CM improvement.

Two ways to engage.

Start with a 30-day pilot to prove the model pays for itself. Or go straight to a 90-day operating engagement designed to move your unit economics.

Model A · Pilot
30-Day Diagnostic Pilot

A fixed-scope, 30-day install. Your signals connected, your ML layer live, your first batch of winners identified, your first round of funnel expansion executed. Full performance report delivered.

  • Full operating system installed
  • 30-day operating period
  • Written performance report
  • Case-worthy outcome or fee refunded
Start pilot →

Find out what's leaking
in your paid media.

30 minutes with a Bigtam operator. We audit your live accounts, identify three specific CAC or ROAS improvements already hidden in your data, and return a written report. No obligation. Free for funded D2C brands at $500K–$3M monthly revenue.