Spend that reconciles with the ledger.

• 01

  Margin-aware reporting

  Channel spend joined to real contribution margin, so a campaign with great ROAS and a 40% return rate stops looking like a winner.

• 02

  Creative and copy at catalogue scale

  Product-grounded ad and email variants generated per collection, with the claims constrained to what the product data actually supports.

• 03

  Lifecycle automation

  Win-back, replenishment and abandoned-cart flows triggered from behaviour rather than a calendar, with hold-out groups so the lift is measured rather than assumed.

• 01

  The catalogue is the ground truth

  Answers about price, stock and fit come from your product data at query time, never from what the model remembers about a product from training. Out-of-stock claims are a refund conversation later.

• 02

  Peak traffic is a design input

  Sale-day load is where naive AI support falls over and where costs spike hardest. We put rate limits, caching and per-conversation cost ceilings in before launch, not after the first invoice.

• 03

  Returns policy is policy, not vibes

  Eligibility is evaluated by your rules engine, with the agent explaining the outcome. A model improvising goodwill on returns is an unbudgeted liability.

1. 1

   Audit

   We baseline your CAC, LTV, attribution, and existing AI usage. Identify the 3 levers with the biggest near-term ROI.

2. 2

   Instrument

   Server-side tracking, multi-touch attribution model, AI-friendly content schema. So every dollar can be traced to a conversion.

3. 3

   Activate

   AI media buying across Google / Meta / X / programmatic. AEO content for ChatGPT / Perplexity / Claude search. CRM automation in Gmail + WhatsApp.

4. 4

   Optimize

   Weekly experiment cycles with budget reallocation, audience refresh, creative testing. AI never reallocates over set guardrails without sign-off.

5. 5

   Compound

   Monthly board-ready dashboards. Predictive ROI, churn prediction, LTV cohorts. Growth becomes a system, not a scramble.

• Shopify & WooCommerce
• Gorgias, Zendesk & Intercom
• Klaviyo
• Stripe & Razorpay
• Shiprocket, Delhivery & carrier APIs
• Algolia / Typesense
• GA4 & server-side tagging
• Meta & Google Ads APIs

FAQ

AI growth marketing for e-commerce: your questions.

• Do you run our ad accounts?

  We can, but the durable value is the measurement layer and the production pipeline — most teams find that once spend is honestly attributed, they change what they buy more than who buys it.

• Is AI-generated ad copy a compliance risk?

  It is if it's ungrounded. Claims are constrained to your product data and pass a rules check before publish, which is also what keeps you out of trouble with platform policy and consumer-protection regulators.

• Why bundle these instead of hiring a paid-ads agency, an SEO agency, and a CRM consultant separately?

  Because the data is shared. When media buying knows what CRM lifecycle a lead is in, both perform 30–50% better. Most agencies can't bridge those silos because they're optimized for one channel.

• What's Answer Engine Optimization?

  Getting your business cited when users ask AI tools (ChatGPT, Perplexity, Claude search, Google AI Overviews) for recommendations. It replaces a chunk of traditional SEO traffic. We do it with structured content, schema, and llms.txt — never prompt injection.

• AI customer service agents for e-commerceSupport agents connected to orders, carriers and your returns rules — resolving tracking, exchanges and address changes end to end on Gorgias, Zendesk or Intercom.Read
• AI product search and catalogue RAGSemantic search and grounded product Q&A over your catalogue, reviews and size guides — with stock and price read live rather than remembered.Read
• E-commerce prototype to productionLoad, payments, inventory correctness and observability added to a storefront or marketplace prototype before real traffic finds the cracks.Read

• AI growth marketing for SaaSContent and lifecycle systems that produce pages worth indexing, with attribution joined to activation and revenue rather than form fills.Read
• AI growth marketing for real estateListing content at portfolio scale, paid and lifecycle automation, and attribution that follows a lead through to a booked viewing and a closed deal.Read