Industry Playbook

D2C and retail growth, where the math has to work.

Scaling D2C and retail brands past the next revenue ceiling — built around CAC, AOV, LTV, and the retention loops that decide whether the business compounds.

What's Different About D2C

CAC and LTV are the only metrics that matter.

D2C marketing fails when CAC climbs faster than LTV. The system has to be engineered around the math — not around creative aesthetics or vanity reach.

CAC:AOV is broken

Most D2C brands at the ₹10-50 Cr stage are paying close to what they earn. Without fixing post-purchase, scale only widens the gap.

Repeat-purchase is the goldmine

The second order pays for the first. Most brands have zero structured retention — and burn paid budget on the same shoppers twice.

Walk-ins and online are disconnected

Omnichannel brands lose attribution between online discovery and offline purchase. Decisions get made on partial data.

Creative fatigue hits fast

D2C creative cycles in 2-4 weeks. Without a creative engine that ships 30+ assets per cycle, performance flatlines.

Our D2C Playbook

Five moves to fix the unit economics.

01

Rebuild the acquisition engine

30+ creatives per cycle across Meta and Google. AI drafts, operators curate, winners scale weekly. Audience strategy tied to AOV cohorts.

02

Deploy post-purchase automation

WhatsApp + email sequences that drive the second order — reviews, referrals, restock reminders, related-product flows.

03

Activate retargeting properly

Server-side conversion tracking, cart-abandon flows, browse-abandon flows, and look-alike audiences fed by enriched first-party data.

04

Connect online + offline

For omnichannel brands: in-store walk-in attribution, geo-targeted social, and WhatsApp-driven booking flows that drive footfall.

05

Report on contribution margin, not ROAS

The dashboard tracks acquisition CAC, retention CAC, and contribution margin per cohort — so optimisation targets profit, not impressions.

The Service Mix We Recommend

For D2C, this is the stack.

01

Performance Marketing

Meta + Google + creative engine at scale.

02

AI Automation

WhatsApp + email retention loops.

03

Social Media

Content + influencer + community engine.

04

Web / Shopify Build

Storefront optimisation and conversion tuning.

D2C / Retail Outcomes

What the playbook has produced.

Representative results. Client names anonymised for confidentiality.

Fashion Label
12×

Return on ad spend, plus 3× in-store walk-ins and 8× qualified enquiries — Thread & Hue.

Jewellery
2.5×

In-store walk-ins driven by social, with 2,000+ organic followers added — Lumière Jewels.

Cohort Unit Economics
1.08 → 0.72

CAC:AOV ratio brought into healthy territory across multi-channel D2C engagements.

Stack & Integrations

Built for the D2C tech stack.

ShopifyMeta Ads + CAPIGoogle Ads WhatsApp Cloud APIKlaviyo / Resendn8n Claude AIHynova OS

Ready to fix the unit economics?

Book a 30-minute call. We'll audit your CAC, AOV, LTV, and retention loops — then map the highest-leverage fix.