It's Monday, 7am. The analysis is already done.
Fountlabs agents work on schedules you set, as an extension of your growth team. They run overnight on your data, so by the time you log on the briefs are written, last week's campaigns are analysed, the forecasts are updated and anything that went wrong has been flagged, diagnosed and given a suggested fix.
The briefs are written
A short brief for each channel owner and one for you: what moved last week, what needs attention and what couldn't be judged yet.
Last week's campaigns are analysed
Every campaign, ad set and keyword read on cost per bound policy and expected value, with the ones to cut and the ones to feed.
Forecasts are updated
Monthly and quarterly forecasts for policies, premium and cost per policy, re-run on last week's binds and set against plan.
Issues are diagnosed
Anything that moved more than it should have is flagged, traced to a cause and handed to the right person with a suggested fix.
Pacing is checked
Where every channel will land against budget by month end, and which ones need a nudge today rather than on the 28th.
Partners are audited
Lead quality by partner, quote to bind and early cancellations, so a partner going bad is caught in a week instead of a quarter.
Tests are read out
Experiments that reached enough policies are written up, and any that crossed a limit have already been stopped.
The record is kept
Last week's decisions go in the ledger with what they did, so the quarterly review is mostly written before anyone starts it.
They watch the numbers your business runs on.
A signal is one number you care about, like cost per bound policy, quote to bind, lead volume by partner or projected loss ratio, with the band it should sit in and the data it depends on. Each one is checked on its own timer and given a verdict: Healthy, Watch, Breached or Held. Overnight an agent works through the board, starting with what's broken, and writes the brief you read in the morning. Every verdict is kept, so you can see exactly when a number first slipped.
Florida lead volume on Meta is breached, down 23% since Thursday's audience change.
Home quote to bind is at Watch. Two more weeks like this and it crosses the line.
Comparison site leads are held. Today's feed hasn't landed yet.
Flagged, diagnosed, and a fix waiting for your yes.
When a number moves more than it should, an agent doesn't just raise an alert and leave you to it. It works through the usual suspects the way your best analyst would: spend, tracking, competitors, seasonality, and every change your team made that week in the ledger. Then it writes up the cause and suggests a fix.
The fix waits for a person to approve it. Most of the time, that's the only part of the investigation you have to do.
Forecasts that update themselves.
Every week the agents re-run your monthly and quarterly forecasts for policies, premium and cost per policy on the latest binds, and set them against plan. When the quarter starts slipping you hear about it in week five, with the channels that would close the gap, instead of in week twelve.
You set the schedule. They do the work.
Tell Fountlabs what you need and when, in plain language: the Monday channel brief, a daily pacing check, the board pack numbers on the first of the month, a diagnosis whenever cost per policy moves 15%. The agents do it on time, every time, and send it to the right person.
- Work to your definitions, your plan and your thresholds
- Show their working on every number in every brief
- Hand anything that needs a decision to a named person
- Run on pipelines, so a Monday of analysis doesn't run up your warehouse bill
| Channel brief and last week's campaign analysisEvery Monday, 06:00 | Media team |
| Budget pacing, flag anything 10% off planEvery day, 07:00 | Maria |
| Monthly forecast and the board pack numbersFirst of the month | Head of growth |
| Quarterly review draft, with every decision from the ledgerEnd of quarter | Leadership |
| Diagnose the cause and suggest a fixWhen cost per policy moves 15% | Channel owner |
The read on yesterday, in your inbox.
Each person gets the brief that matters to them, in plain language, before their first meeting. Every line opens up to the analysis behind it.
Yesterday wrote 61 auto policies at $204 each, better than your target. Home was quiet.
Florida lead volume on Meta dropped 23% after the weekend. Spend is flat, so it looks like the audience. The detail is one click away.
One number is on hold. Home leads from comparison sites are waiting on a late partner feed, so they haven't been judged yet.
They understand your book because it's written down.
Underneath the agents is a graph of everything insurance marketing cares about: your products and how they roll up, what counts as a bound policy, how you group your channels, the vetted queries behind your numbers, how to approach the questions that keep coming up, and the dated incidents that explain a strange week. It's an insurance marketing layer that teaches agents how your book works before they touch the data.
It gets sharper the more your team uses it. Every night it looks at the questions people keep asking, the ones an agent couldn't answer and the answers that got a thumbs down, and suggests what to add. Suggestions start at the bottom of the trust ladder and only move up once they've been checked. That keeps unproven AI insights out of your numbers, and promotes what has been proven by your people and the agents together.
- Low
Anything an agent writes starts here. It's a candidate, never run and never presented as fact.
- Ratified
Checked and safe to use. Only ratified and canonical knowledge is ever run to answer a question.
- Canonical
A person on your team stands behind it. Only a person can put something here.
A general AI agent plugged into your CRM waits to be asked, then guesses.
A general-purpose assistant sees tables. It doesn't know that a quote isn't a bind, that your aggregator leads arrive twice, or that last March looks odd because a lead partner's feed went quiet for a week. Fountlabs agents do, because they work from the data layer, your definitions, the profitability layer and the ledger.
| A general agent on your CRM | A Fountlabs agent |
|---|---|
| Waits for someone to ask | Works to a schedule and on triggers you set |
| Tables and column names | Your products, your funnel and your signed-off definitions |
| Clicks and conversions per platform | Every touch joined to the policy it became |
| No idea what a customer is worth | Expected value of every customer, from your own models |
| No memory of what your team tried | The full ledger of decisions and what they did |
| The whole warehouse, scanned again for every question | Pipelines it built once and keeps fresh |
And when you do have a question, ask.
The same agents answer questions between scheduled runs, from Fountlabs or from inside Claude. They read your definitions and the ledger first, and every answer comes with the query behind it.
Safe Driver Search wrote the most profitable business, 412 policies at $198 each with a projected loss ratio of 0.58. Meta prospecting in Texas is close behind on cost, but those policies are cancelling faster.
Want me to turn this into a report for Monday's meeting?
Every number comes with its receipt.
Open any line of any brief to see how the number was made: the definition it used, the policies it counted, the spend it matched and how fresh each source was. A late data feed is held rather than judged, so you fix the feed and don't go chasing a problem your business doesn't have.
Spend your money
Agents diagnose, recommend and prepare. A person on your team approves anything that touches an ad account, a customer or a budget.
Make up a number
If the data can't answer the question, the agent says so in the brief and shows you what's missing.
Rewrite your definitions
Agents can suggest a definition when they spot a gap. It stays low trust until it is checked, and only a person can make it canonical.
Part of one system.
The agents work from everything underneath them. When a number moves, they check what changed in the data and in the ledger before they tell you why, and they weigh the answer in what the business is worth.
Marketing analytics agents
Agents that work on schedules you set, as an extension of your growth team. By Monday morning the briefs are written, campaigns are analysed, forecasts are updated and issues are diagnosed with a fix waiting for your yes.