Solution · Performance marketing (India)
Meta + Google Ads for ecommerce
D2C and ecommerce grow when paid social and search work with catalogue truth, offer clarity, and a site that can convert on mobile. We combine Meta for demand and creative velocity with Google for high-intent capture—always tying targets to contribution, not a single ROAS screenshot from a lucky week.
Who it’s for: D2C brands, fashion & lifestyle, home goods, and multi-SKU stores that need disciplined creative testing, clean catalog/PDP alignment, and scaling rules that don’t collapse on thin-margin products.
Ecommerce performance is a loop: find creative-market fit, scale what works, then protect margin as spend rises. We set up product-led creative frameworks, run structured test batches, and connect shopping/search intent where it makes sense for your category. Site speed, returns policy clarity, and checkout friction are part of the same system as the ad account.
How we approach it
Practical playbooks for Meta Ads, Google Ads, landing pages, and CRO — not generic “awareness” talk.
Pillar 1
Meta: broad vs targeted prospecting, retargeting by behaviour (view content, add to cart, initiate checkout), and creative cadence to fight fatigue in fast-moving categories.
Pillar 2
Google: brand defence, category capture, and shopping feeds where applicable—aligned to margin and stock reality.
Pillar 3
Product & offer alignment: best sellers vs long tail, discount strategy that doesn’t train customers to only buy on promos, and PDPs that match the ad’s promise.
Pillar 4
Scaling rules: step-ups with guardrails—incremental spend tests, new customer vs returning targets, and contribution-aware KPIs (not just platform ROAS).
Measurement, attribution & reporting
We emphasise platform signals (purchase, value) plus your business numbers where possible: returns, contribution margin, and inventory constraints. iOS/ATT and browser limitations mean we treat reporting as directional and stable definitions—not perfect truth. We help you read blended performance without fooling yourself.
Common mistakes (we help you avoid)
- Scaling spend before checkout, shipping, and returns are stable—turning a media problem into an operations crisis.
- Comparing week-to-week ROAS on small numbers; noise dominates until volume and seasonality are accounted for.
- Over-segmenting into dozens of ad sets and starving the algorithm of exit velocity from learning.
Local intent pages
If you’re evaluating this playbook for a specific city, start here:
Related reading & services
See all services, case studies, and why ads don’t convert. Compare pricing bands and explore city pages for local intent.
Related case studies
- Ecommerce: ₹2.4L → ₹11L in 22 days (Meta only) — ₹2.40L spend → ₹11L revenue (22 days)
- ₹1.25 Cr net profit — real estate performance marketing — ₹1.25 Cr net profit (client-reported, 12-month period; attribution based on tracked funnel conversions)
- Channel partners: ~₹35,000 average booking cost — ~₹35,000 average booking cost
Validate the playbook against your account
Request a free ad account review so execution matches what this page describes.
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