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§ Agent · Adjust

The Adjust data agent that acts the way you would.

It watches your Adjust attribution data alongside product usage and revenue, on a schedule you set or whenever fresh data lands. When something needs attention, it tells you, or handles it the way you would.

D
DefiniteAPP9:14 AM · #product-alerts
⚠️ Organic install share dropped 12pp this week; paid CPI up 31% on iOS

Organic installs fell from 58% to 46% of total while iOS paid CPI rose to $4.80 (your baseline is ~$3.65). The shift started Thursday after the App Store ranking change. 3 campaigns are above your efficiency ceiling.

Review & approve Dismiss
Adjust Install Metrics + Ad Spend + Campaign Structure · joined to Stripe revenue · audit log

How an agent works

An agent watches one thing and acts on it. Not a workflow, just a standing watch that usually does nothing and acts the moment it should.

◄ repeats on the schedule you set ►

You stay in control

An agent does what you'd do, and only what you've authorized.

The same trusted numbers

It acts on the same governed metrics as your dashboards, and every action is logged and traceable.

You approve anything that writes

It alerts and recommends on its own; anything that changes data is yours to approve.

Try it on a test channel first

Point a new agent at a throwaway channel and watch its judgment before it touches anything real.

No false alarms

It remembers what it already flagged and waits before acting again, so it won't alert you about the same thing twice.

What you can put an agent on

Attribution to RevenueACROSS YOUR SOURCES

Connect install attribution to actual revenue per cohort

It joins your Adjust install and campaign data to your revenue source, so you can see which networks and creatives drive users who pay, not just users who install. You stop funding channels that look good on installs but never convert to revenue.

Install MetricsCampaign StructureRevenue & ROAS Metrics
Efficiency

Catch campaign efficiency shifts before the budget burns

When CPI, eCPC, or ROAS breaks its trend on any network or campaign, it tells you which creatives and geos moved, by how much, and whether the shift is worth acting on. You find out in hours, not at the end of the sprint.

Efficiency MetricsAd Spend & Cost MetricsCampaign Structure
Engagement

Flag retention drops tied to specific acquisition channels

When session activity or DAU trends fall for a cohort, it traces the drop back to the campaign and network that acquired those users, so you know whether it is a product problem or an acquisition quality problem.

Activity MetricsInstall MetricsCampaign Structure
Custom

Run any Python it needs to get the job done

Beyond alerts and write-backs, an agent can run arbitrary Python, so it can do whatever the task actually requires: call an API, kick off a job, reshape the data, or wire into your own tooling. The action space is yours to define.

Why not just build it yourself?

You could rig one of these with a cron job and a Slack webhook in an afternoon. The watching is the easy part. Here's what you'd own forever, and don't, here:

  • The cross-source join: not one tool's data, but it reconciled against the rest of your stack
  • A trusted, consistent metric: the same number your dashboards use
  • The investigation into why, when something fires
  • A full audit trail of everything it did
  • The upkeep, when the schema drifts or the script breaks at 2am

The data it works from

Every Adjust object, modeled and query-ready the moment you connect.

Performance Report
marketingproduct
Install Metrics
marketing
Ad Spend & Cost Metrics
marketingrevenue_finance
Engagement Metrics
marketingengagement
Efficiency Metrics
marketing
Revenue & ROAS Metrics
revenue_financemarketing
Activity Metrics
productengagement
App
product
Campaign Structure
marketing
Geography & Device
marketingproduct

It runs on your real Adjust data (reattributions, deattributions, organic/paid splits and all), not a tidy demo.

Where it acts

Slack

A message in the channel you choose, with the context and a button to act on it.

Email

A summary in the inbox of the people who need to see it.

Webhook

A payload to your own systems, to wire the agent into whatever you already run.

Warehouse write-back

A flag written back to your warehouse for everything downstream to pick up.

Hand off to Fi

Kick the question to Fi to investigate the why and propose the fix.

MCP

Expose it to your own agents and tools over MCP, and drive it from your stack.

Run it in your own VPC or fully self-hosted. Everything it does is pure SQL and Python you can inspect.

Build your agents with Fi

Fi is your AI analyst. It helps you build and customize everything in Definite, including the agents that watch and act.

Fi

Your AI analyst. Ask questions in plain English, and let it help you build and customize everything in Definite, including your agents.

Meet Fi →

Agents

The watchers and actors. Once you've built one, it runs on its own, keeping an eye on what matters and acting the way you would.

Autonomous agents →

Get started

  1. 1Connect Adjust, and the sources it needs to reconcile against. Synced and modeled in an afternoon.
  2. 2See the numbers tie out to what you already trust.
  3. 3Put an agent on one thing you can't afford to miss. Fi helps you build it.
§ FAQ

Common questions

You set the schedule, and it also re-checks whenever fresh Adjust data lands. Each agent watches the one thing you point it at, nothing else.
It alerts and recommends on its own. Anything that writes, whether to a tool, your warehouse, or a customer, is yours to approve. You can also point a new agent at a test channel first and watch its judgment before it touches anything real.
When something fires, it can hand off to Fi to investigate, drilling into the data it has across your connected sources to find what's behind the move, and showing its work.
Datascape shows you Adjust data when you go look. This watches continuously, joins Adjust attribution to your revenue and product usage data, and acts on the shift the moment it happens, so you catch the CPI spike before it eats next week's budget.

Your answer engine
is one afternoon away.

Book a 30-minute call and watch us build your first dashboard live, with your own data.