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§ Agent · Snapchat Ads

The Snapchat Ads data agent that acts the way you would.

It keeps an eye on your Snapchat Ads data alongside your CRM and revenue sources, on a schedule you set or whenever fresh data lands. When something needs attention, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #marketing-alerts
⚠️ Snap campaign CPL up 74% this week, $8,200 spend with 11 conversions vs. 43 baseline

Three prospecting ad squads on the Q3 awareness campaign saw swipe-through rates drop below 0.4% after the audience segment refresh on Monday. Cost per lead jumped from $31 to $54, and pixel-tracked conversions fell to roughly a quarter of your trailing 4-week average.

Review & approve Dismiss
Snapchat Ad Squads + Pixel & Web Conversions + Campaign stats · reconciled to HubSpot pipeline · 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

AttributeACROSS YOUR SOURCES

Reconcile Snap spend to actual pipeline revenue

It joins your Snapchat Ads spend and pixel conversions against your CRM closed-won data, so you can see blended CAC by campaign and stop relying on platform-reported numbers that never match revenue.

CampaignPixel & Web ConversionsAd Account
Creative

Spot creative fatigue before the budget burns

When swipe-through rates or video view completion on an ad squad break their trend, it surfaces which creatives are fatiguing, how much spend is at risk, and which audience segments are dropping off, so you can rotate before performance collapses.

AdCreative & MediaAd Squad
Audience

Flag audience overlap eating your reach

When two ad squads target overlapping audience segments and one is bidding up the other, it catches the collision, shows you the spend impact, and lines up the consolidation for you to approve.

Audience SegmentAd SquadTargeting Dimensions
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 Snapchat Ads object, modeled and query-ready the moment you connect.

Organization
revenue_financecustomer
Ad Account
customermarketing
Campaign
marketingproduct
Ad Squad
marketingsupport
Ad
customermarketing
Creative & Media
marketingsupport
Audience Segment
marketing
Pixel & Web Conversions
marketingsupport
Product Catalog & Product Set
revenue_financemarketing
Targeting Dimensions
revenue_financemarketing
Billing & Funding
revenue_financesupport

It runs on your real Snapchat Ads account (test campaigns, paused ad squads, partial pixel data 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 Snapchat Ads, 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 Snapchat Ads 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.

Your answer engine
is one afternoon away.

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