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The platform — four agents, one model

Four agents. One model of your funnel.

Honest by construction. Four specialized AI employees implemented on your site, supervised by CRO strategists and approved by you — every test pre-registered, every personalized experience measured against a holdout, every finding traced to evidence.

See a sample audit →

01 The agents

Meet the agents on your site.

Four specialists, one shared model of your funnel. Each is accountable for a different part of the loop, and a human strategist is accountable for all of them.

Agent 01 · Diagnostics

Scout — funnel diagnostics & scoring

Continuously audits your funnel: scans pages for 150+ CRO signals, verifies every pixel in a real browser (GA4, Meta, TikTok, Klaviyo), scores each funnel step 1–10, and alerts you the day tracking goes silent or starts double-counting — before a month of bad data poisons your decisions.

Continuous audits · tracking watchdog · $-ranked leaks
Agent 02 · Experimentation

Experiment — the testing program

Turns findings into A/B tests: drafts hypotheses and variants from your customers' language, deploys through your testing layer, and calls results at pre-registered thresholds with guardrails on AOV, refunds and ROAS. Suggest mode (you approve) or Autopilot within agreed guardrails.

Design → deploy → statistically honest calls
Agent 03 · Personalization

Segment — journey optimization

Segments visitors in real time — source & campaign, new vs. returning, device, cart value, on-site behavior — and personalizes the whole journey, entry to conversion: tailored offers, messaging and page variants that stay consistent across every step. Each experience runs against a holdout, so lift is proven, not assumed.

Real-time segments · holdout-measured experiences
Agent 04 · Learning

Insight — the learning library

Every result becomes a documented learning. Weekly plain-language reports, a live dashboard of CVR/AOV/RPS trends, and a roadmap that re-scores itself as evidence lands — so the program compounds instead of repeating itself.

Learning library · self-updating roadmap · weekly reports

Think of them as AI employees, not a script.

Each agent checks the others before anything reaches you. Experiment won't re-propose a test Insight's learning library already called a loss. Segment won't personalize on a page Scout has flagged for low data trust. They debate the evidence in the background so the version that reaches your team has already survived the argument.

Beside your team, not instead of it

Suggest mode by default: every experiment, segment rule and journey variant waits for your sign-off. Autopilot only runs within guardrails your team set in writing — AOV, refund rate, ROAS. Nothing customer-facing moves without a human who can be asked why.

02 Journey personalization

Personalize the whole journey — not one page at a time.

A landing page that matches the ad is table stakes. Segment carries that context through every step of the path, so each audience travels a journey built for it — no disconnected experiences, and no hand-building a variant for every page.

Segmente.g. Meta ad · "hydration" angle
↓
Landing pageheadline mirrors the ad's promise
↓
PDPbenefits & proof reordered for the angle
↓
Cart & checkoutoffer reinforced · trust for first-timers
STEP 1

Define the path

Pick the audience or ad segment and map its journey — entry page → PDP → cart → checkout, up to 10 pages per flow.

STEP 2

AI discovery

The Segment agent reads visitor signals — source, campaign, device, behavior — and adapts copy, imagery, offers and merchandising on each page to match.

STEP 3

Review & refine

Approve every page's variants in one review before anything ships. Fine-tune what the agent proposed; nothing customer-facing moves without your sign-off.

STEP 4

Activate & measure

The journey triggers when visitors follow the path. Every personalized flow runs against a holdout, with real-time funnel analytics and drop-off per step.

10
pages per personalized journey
1 holdout
behind every experience — lift is measured, never assumed
Live
funnel & drop-off analytics per journey step

03 Under the hood

The engine behind the work.

BamLoops isn't an AI wrapper around a generic checklist. The platform runs on an audit and experimentation engine we built and operate ourselves. Here is exactly what happens the moment a store connects.

Scan any store from its URL150+ CRO signals: offer & CTAs, platform, pixel stack, trust & payments, performance — desktop and mobile.
Verify tracking in a real browserHeadless Chrome records which pixels actually fire — GA4, Meta, TikTok, Klaviyo — catching silent, failing and double-counting tags, plus JS errors on the conversion path.
Score the funnel, step by stepLanding → PDP → cart → checkout, each scored 1–10 on role-specific checks, with breaks between steps detected automatically.
Generate the audit deckFindings assemble themselves into a designed, boardroom-ready presentation — the audit. Human strategists spend their time on judgment, not formatting.
bamloops — audit engine
Minutesfrom URL to first-pass audit, not weeks
100%of deliverables generated from live data
1 dashboardevery experiment, journey and report in one place

That's not a mockup — it's the actual engine, run against a demonstration store. Open the sample audit to see the $14k–26k/mo recoverable range, the per-step scores and the findings it caught, in full.

04 Platforms

Your stack. Elevated, not replaced.

We plug into the tooling you already pay for — no migrations, no new licences. The agents deploy where your funnel actually lives: experiments, segment rules and journey personalization implemented native to your commerce platform, CMS, analytics and martech.

E-commerce platforms
Shopify PlusShopifyWooCommerceBigCommerceSalesforce CommerceHeadless — Hydrogen / Next.js
CMS & landing page platforms
WebflowWordPressFramerContentfulSanityReplo / Shogun
Testing, analytics & lifecycle
GA4 · GTMConvert · VWO · IntelligemsKlaviyoTriple Whale · NorthbeamHotjar · Clarity

Every deployment traces back to a documented finding. On Shopify Plus the agents go where the money is — checkout extensibility, Shop Pay optimization, subscription and bundle flows — each change tied to evidence and the test that will prove it. On CMS-driven funnels, journey variants ship as measurable experiments, never one-off pages.

Next step

See the agents on your store.

Book a call and we'll walk the platform on your own funnel — not a canned example.

Work with BamLoops

Tell us where to send the details — we reply within one business day.

So we can pull it up live on the call — not a canned example.