Marketing

AI Website Conversion Diagnostics Agent: turn scattered evidence into reviewed action

AI website conversion diagnostics agent for reviewed AI website conversion diagnostics agent with posthog, adobe_analytics, slack and human approval.

Integrates with:

What changes

Before
With ZeroTwo
Evidence gathering
Owners search several systems and copy partial context
ZeroTwo assembles dated source evidence into one review packet
Decision quality
A score or summary hides missing and conflicting context
The recommendation shows sources, confidence, exceptions, and limitations
Approval
Actions move forward through informal messages
A named owner approves consequential actions before execution
Follow-through
The decision and rationale disappear after the meeting
The approved outcome, owner, and next review remain attached

Evidence gathering

Before

Owners search several systems and copy partial context

With ZeroTwo

ZeroTwo assembles dated source evidence into one review packet

Decision quality

Before

A score or summary hides missing and conflicting context

With ZeroTwo

The recommendation shows sources, confidence, exceptions, and limitations

Approval

Before

Actions move forward through informal messages

With ZeroTwo

A named owner approves consequential actions before execution

Follow-through

Before

The decision and rationale disappear after the meeting

With ZeroTwo

The approved outcome, owner, and next review remain attached

Why teams use ZeroTwo for Conversion diagnosis

Faster evidence assembly

Start from a structured source packet instead of rebuilding the same context for every review.

Reviewable recommendations

See evidence, missing fields, confidence, and limitations before accepting a suggested action.

Visible ownership

Route exceptions and consequential changes to the person accountable for the decision.

Reusable operation

Save the schema, prompt, approval rule, and review date for the next run.

Conversion diagnosis fails when evidence and ownership stay fragmented

Growth Marketing, Product Analytics, Web Operations often need information from posthog, adobe_analytics, slack. When each owner sees only one system, the decision can look complete while dates, exceptions, or required evidence remain missing.

Manual assembly also makes the review hard to repeat. A recommendation may be correct, but the next operator cannot see which source supported it, which assumption changed, or who approved the action. The agent should reduce collection work without hiding those boundaries.

How ZeroTwo runs the Conversion diagnosis workflow

1

Collect current source evidence

PostHog

Collect current source evidence using dated evidence, explicit decision fields, confidence notes, and a named owner so the result remains inspectable before any consequential action.

2

Normalize the decision fields

Adobe_analytics

Normalize the decision fields using dated evidence, explicit decision fields, confidence notes, and a named owner so the result remains inspectable before any consequential action.

3

Identify gaps and contradictions

Slack

Identify gaps and contradictions using dated evidence, explicit decision fields, confidence notes, and a named owner so the result remains inspectable before any consequential action.

4

Draft the reviewed recommendation

Data-analytics:product-business-analysis

Draft the reviewed recommendation using dated evidence, explicit decision fields, confidence notes, and a named owner so the result remains inspectable before any consequential action.

5

Route approval to the accountable owner

Slack

Route approval to the accountable owner using dated evidence, explicit decision fields, confidence notes, and a named owner so the result remains inspectable before any consequential action.

6

Record the decision and next review

PostHog

Record the decision and next review using dated evidence, explicit decision fields, confidence notes, and a named owner so the result remains inspectable before any consequential action.

Runs before each scheduled Conversion diagnosis review or when a material source record changes · Reviewed brief delivered to slack with source links and owner actions

The agent prepares evidence; the accountable owner makes the decision

ZeroTwo treats the connected tools and data-analytics:product-business-analysis skill as inputs for one job: finds evidence-backed conversion problems across journeys, pages, and cohorts, then routes a reviewed experiment brief. The workflow is organized around the reviewed outcome rather than a generic integration recipe.

The boundary matters. The agent should not invent missing evidence, treat a score as certainty, or execute a sensitive update without approval. Conflicting and stale inputs remain visible so the owner can revise, defer, or stop the recommendation.

Get started in under 10 minutes

1

Connect your tools

One-click OAuth for each integration. No API keys, no engineering.

2

Describe what you need

“Before every Conversion diagnosis review, gather current evidence from posthog, adobe_analytics, slack, identify missing or conflicting context, draft a recommendation with confidence and limitations, and route it to the accountable owner for approval.”

3

It runs on schedule

Runs on the review cadence with event-triggered refreshes when a material source changes.

Frequently asked questions

An AI website conversion diagnostics agent prepares a reviewed decision packet for Growth Marketing, Product Analytics, Web Operations. It gathers source evidence, normalizes the required fields, identifies gaps, and proposes next actions while keeping consequential changes behind human approval.

This workflow uses posthog, adobe_analytics, slack. Teams can add other approved sources when they materially affect the decision, but each added connector should have a clear purpose, permission boundary, and accountable owner.

ZeroTwo can automate approved low-risk steps, but sensitive messages, access changes, customer commitments, and material record updates should keep a human approval gate. Missing or conflicting evidence should stop the action rather than produce a more confident draft.

Track evidence completeness, reviewer correction rate, time to approval, reopened decisions, and downstream errors. The goal is faster reviewed action with fewer unsupported claims, not the largest number of automatic updates.

The workflow should preserve its source packet, current stage, proposed action, and owner so a person can resume manually. Recovery behavior belongs in the initial test because a useful agent must fail visibly without losing decision context.

Turn Conversion diagnosis into reviewed action.

Connect posthog, adobe_analytics, slack. ZeroTwo prepares the evidence and keeps owners in control.