System Architecture — E-Commerce Growth
Your Online Store,
A complete revenue system for online stores — organic discovery, paid acquisition, on-site conversion optimisation, cart recovery, and customer retention — all connected and compounding.
Most Online Stores Are Running on Luck and Paid Ad Dependency
The average e-commerce brand spends 60–80% of its marketing budget on paid ads, has no SEO infrastructure, and loses 70%+ of add-to-cart sessions without any recovery mechanism. Revenue is fragile — turn off ads and revenue collapses. There's no system, just spend.
- No product or category SEO — 100% dependent on paid traffic
- Google Shopping feed not optimised — poor ROAS on Shopping campaigns
- 70%+ cart abandonment with no recovery email sequence
- No post-purchase email flows — zero LTV optimisation
- Conversion rate below 2% with no systematic CRO programme
The System Solution
We build a full-stack e-commerce revenue system: SEO architecture for categories and products, optimised Google Shopping infrastructure, cart and browse abandonment recovery flows, post-purchase sequences, and a monthly CRO programme — all integrated and reporting to a single revenue dashboard.
Who This Is Built For
D2C brands, fashion and lifestyle retailers, speciality e-commerce stores, and marketplace sellers with ₹50L–₹10Cr+ annual GMV who are ready to reduce paid ad dependency and build a system that generates revenue sustainably.
How the System Flows
Every component is integrated. Data flows automatically from traffic acquisition through to revenue recognition — no manual handoffs, no gaps in the pipeline.
What We Build & Connect
Each component is production-grade. We don't use off-the-shelf templates — every element is engineered for your specific market, audience, and conversion architecture.
E-Commerce SEO Architecture
Category page optimisation, product schema markup, faceted navigation handling, crawl budget management, and a content programme that captures discovery-stage shoppers before they see a competitor ad.
Google Shopping Optimisation
Product feed engineering, campaign structure rebuild, Smart Shopping vs Standard analysis, bidding strategy optimisation, and negative keyword architecture — targeting 3–5× ROAS.
Cart Recovery Automation
3-email cart abandonment sequence, browse abandonment triggers, back-in-stock alerts, and price drop notifications — automated in Klaviyo, Mailchimp, or your existing ESP.
Post-Purchase Revenue Flows
Upsell sequences, cross-sell recommendations, review request automation, loyalty programme triggers, and win-back campaigns — turning one-time buyers into repeat customers.
Conversion Rate Optimisation
Monthly A/B testing programme: product page layout, CTA copy, trust signals, checkout flow, free shipping thresholds, and social proof placement — compounding conversion rate improvements.
Revenue Attribution Dashboard
GA4 e-commerce tracking, Google Ads and email revenue attribution, LTV segmentation, and a monthly performance report that shows exactly which channels are generating profitable revenue.
What to Expect and When
ROI projections are based on median outcomes across comparable client engagements. Actual results depend on market competitiveness, domain authority, and starting position.
| Metric | Month 3 | Month 12 |
|---|---|---|
| Organic product traffic | Baseline | 200–400% increase |
| Google Shopping ROAS | 1.5–2.5× | 3.5–5× |
| Cart recovery rate | 0–2% | 12–18% |
| Email-attributed revenue | 0% | 15–25% of total |
| Store conversion rate | 0.8–1.5% | 2.5–4.5% |
| Overall revenue growth | Baseline | 200–400% |
Case Study Reference
A Mumbai D2C fashion brand had a 1.1% conversion rate and 85% paid traffic dependency. Post-system deployment: 3.2% conversion rate, 4.8× Google Shopping ROAS, ₹18L/month in recovered cart revenue, and 300% overall revenue growth in 8 months.
Read full case study →Get a System Proposal
Tell us your industry and revenue target. We'll map the exact system architecture and project a 12-month ROI model.