AI Growth Systems · DTC & E-commerce
Your ad stack leaks revenue.
Your AI stack leaks data.
We plug both. Cross-platform attribution so Meta stops charging you twice for the same customer, and Voice AI that turns every COD call into training data you own — not a moat that expires the day we leave.
- Avg. ROAS lift
- +2.9×
- Wasted spend cut
- 34%
- COD confirm rate
- ↑ 22%
Selected outcomes
Numbers from real brands, not slide decks.
Brands anonymized until they opt in. Every figure below was measured against the client's own baseline the week we started.
- 1.17× → 3.4×ROAS
UAE-first DTC beauty brand · 21 days · attribution rebuild
- +22%COD confirm rate
India Shopify apparel · 14 days · Hindi + Hinglish voice agent
- −34%Wasted Meta spend
Amazon-hybrid seller · 30 days · placement + geo pruning
- 8×Multi-store deploys
12-store theme fleet · zero incidents · theme-as-code
What we run
One AI ensemble. Four revenue levers.
Each service plugs into a shared agent brain — so insights from your Amazon account inform your Meta creative, and your COD call logs sharpen your targeting.
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Meta + Amazon Ads Optimization
An ensemble agent rebalances spend across Meta and Amazon on actual profit — not surface ROAS — and flags waste in real time.
- Cross-platform bid & budget rebalancing
- Geo, placement, audience waste detection
- Creative fatigue + refresh triggers
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Voice AI for COD Confirmation
AI agent calls every COD order, confirms intent in the customer's language, and filters fakes before you ship. Every call becomes training data you own.
- Hindi, English, Hinglish + regional
- Live Shopify + CRM sync
- Call-audio dataset — your moat compounds
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Shopify Automation
Theme, product, and flow automation across multi-store fleets. Bulk changes ship as pull requests, not admin-tab archaeology.
- Theme-as-code, multi-store safe
- Auto product enrichment + SEO
- Abandoned-cart + win-back flows
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Cross-Platform Attribution
Meta CAPI, Amazon attribution, and first-party pageviews unified into one conversion graph — so you stop paying twice for the same customer.
- Server-side CAPI with deduplication
- Amazon attribution tags auto-generated
- UTM + device graph stitching
Case spotlight
1.17× → 3.4× ROAS in 21 days.
A UAE-first DTC brand was burning budget on Meta campaigns routed to amazon.in and losing 60% of conversions to pixel drop-off. We rebuilt the attribution bridge with server-side CAPI, fixed the geo routing, and retrained creative rotation.
- ROAS
- 3.4×
- CAC
- −41%
- Ship time
- 21d
30-day pilot · fixed scope
Move one number in 30 days, or get your money back.
No six-month retainers, no "growth roadmap" PDFs. One scoped pilot, one metric, one number at the end. If it didn't move, you didn't pay.
- Week 1 01
Audit the leak
We read-access your Meta, Amazon, Shopify, and analytics stack. Within five business days you get one report: where revenue is leaking, which fix moves the biggest number, and the single metric we will move in the next 21 days.
- Week 2–3 02
Ship the fix
Attribution bridge, budget rebalancer, voice confirm agent, theme automation — whatever the audit pointed to. Shipped behind your own infra, on pull requests you can read. No black-box dashboards, no lock-in.
- Week 4 03
Measure or refund
We compare the target metric against Day-0 baseline. Moved? We scope Phase 2 month-to-month — no retainer trap. Didn't move? Pilot fee refunded in full, no questions.
Pilot fee quoted on the first call after we see your stack. No NDA required to scope.
FAQ
The questions every founder asks on the first call.
Answered up front so you can skip the discovery dance and we can spend the call on your stack, not ours.
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Who owns the data we generate together?
You do — end of story. Call recordings, embeddings, attribution graphs, and automation code all live in infrastructure you control (your Postgres, your Shopify, your S3-compatible bucket). If you fire us tomorrow, everything trained on your data stays with you. Our contract is explicit on this; ask for the data-ownership clause and we'll send it before you sign. -
Do you work with our competitors?
We cap concurrent engagements to protect quality, and never onboard two direct competitors in the same geography. If you're a UAE beauty brand and we're already running one, we'll tell you on the first call and point you to another shop. Non-compete is two-way. -
How is this priced?
The 30-day pilot is fixed-scope and fixed-fee — we quote it on the first call once we've seen your stack. Ongoing engagement after the pilot is month-to-month, priced by ad spend under management and number of systems we operate. No 12-month retainer, no "minimum commitment". -
What do you need from us to start?
Read-access to Meta Business Manager, Amazon Seller Central (or Vendor), and Shopify admin. One 30-minute call with whoever owns growth internally. That's enough for us to start the Week-1 audit. Writable access only gets granted after the audit is delivered and you've approved the build plan. -
Which AI models do you use, and does our data train them?
We route between Claude, open-weight models (Llama, Qwen), and in-house fine-tunes depending on task — latency-sensitive work runs on-edge, reasoning runs on frontier. Customer data never trains third-party models. Fine-tunes run inside your infra on your data only. We'll sign a no-training addendum with any cloud vendor you prefer. -
When do we actually see results?
Attribution fixes surface within a week — you'll see ghost conversions reappear in Meta almost immediately. Budget rebalancing shows inside two weeks once enough signal accumulates. Voice AI and COD confirm need 2–3 weeks to train on your call patterns. If no metric has moved by Day 30, the refund triggers automatically — you don't have to ask.
Under the hood
A stack built to survive vendor lock-in.
Open-weight models where it makes sense, frontier models where it matters, self-hosted data where the moat lives. No Zapier spaghetti, no black-box agencies.
- Meta Marketing API Ads Manager + CAPI
- Amazon Ads + SP-API Seller Central + Attribution
- Shopify Admin API Theme + products + orders
- Voice AI (LLM + TTS) In-house; audio dataset owned
- Postgres + pgvector Agent memory + embeddings
- Claude + open-weight ensemble 8-model router
- Cloudflare Pages + Workers Edge compute for webhooks
- Turnstile + CSP Bot + abuse protection
Talk to us
Tell us where the leak is.
We reply within one business day. If it's urgent, email us directly — support@glitchexecutor.com.
- No NDAs required to scope the first call.
- Fixed-scope pilot — 30 days, measurable outcome or we refund.
- We own the code you license; you own the data you generate.