Use cases · Growth & Customer Analytics

Ask why the number moved. Get the evidence, not a guess.

Your team has the data, but not the hours to dig into every drop. AgentWorks agents watch your funnel, activation and retention every day, explain each drop with the evidence behind it, and follow the fix until the number recovers.

How this team runs on agents

A goal on top. Agents doing the work. People approving what matters.

Goal Illustrative

“Recover checkout conversion to 3.5%”

Conversion this week3.1%

Agents own the target end to end. Every day the number is checked and what is not working gets changed.

Flow

Daily metric check

Read the funnel every morning, flag any drop, break it down by release, device and source.

Crew

Growth analyst

Answers "why did signups drop?" with the evidence: the release, the screen, the tickets.

People

Approve the exceptions

The head of product decides the fix; the agent tracks whether the number comes back.

Everyone’s personal AI connects in, through AgentBridge

Claude CoworkChatGPTThe head of product asks ChatGPT "why did activation dip?" and gets the analyst’s answer with charts.

Claude CodeCodexCursorAn engineer’s Claude Code receives the evidence and the failing screen, and proposes the fix.

SlackWhatsAppEveryone else asks and approves where they already talk.

  • 01
    Drops are noticed lateConversion or activation slides for a week before anyone looks.
  • 02
    Nobody has time to digThe question "why did it move?" waits for an analyst you have not hired.
  • 03
    Fixes are not followed upA change ships, and nobody checks whether the number came back.

Example goal

Recover checkout conversion

Primary metricCheckout conversion
3.1%

target 3.5%. Illustrative numbers.

Premade agents

Start from agents that already know the job.

Each one comes with its goal, its tools and its guardrails. We set up the first one with you.

Marketing

Funnel Analyst

Compares signup, product use and billing records to show where potential customers drop out before paying.

CrewSource
Customer success

Product Adoption Analyst

Checks whether customers are using a feature and reaching the useful first result your team defined.

CrewSource
Customer success

Lifecycle Analyst

Compares groups of customers over time so your team can see who gets started and who keeps coming back.

CrewSource
Growth analytics

Funnel and Conversion Intelligence

Investigates a change in your signup-to-payment funnel and proposes an experiment for your team to review.

GoalSource
Growth analytics

Activation and Retention Intelligence

Compares how customer groups get started and return, then proposes a retention experiment for your review.

GoalSource

Works with Mixpanel, PostHog or your analytics through MCP, your database, Slack and your ticketing tool. See connectors →

How it works

You set the target. The agents keep working until it's hit.

  1. Set the goal

    Pick a premade agent or describe the outcome, then agree the metric and target with us.

  2. Run

    Agents work through your tools on a schedule. You choose which actions run on their own and which wait for a person; we agree those rules during setup.

  3. Measure

    Every run records what it did and what it moved, so you see progress, not activity.

  4. Review each run, improve the next

    What broke gets fixed, what didn't work gets dropped, and the next idea gets tried.

FAQ

Questions, answered.

Do we need a data team?

No. Agents read the analytics and database you already have. We connect them with you on the first call.

Will it change our product?

No. It explains and recommends. Changes go to your team, and it checks the number afterwards.

Which numbers can it watch?

Any you can query: signups, activation, conversion, retention, revenue per user.

Start with one goal. We'll set it up with you.

Book a short call. We connect your tools, pick the agent and agree the metric together.