Ad intelligence · not a dashboard
What changed.
Why it moved.
What to do next.
Ad intelligence that reads every change across Google, Meta, LinkedIn, TikTok and Reddit — and answers it with causal inference, every ~3 hours, in the web app and in Slack.
Web app + Slack · Unlimited seats · Setup in seconds

CPA on Search/Brand jumped 38% overnight — here's why.
Tuesday 8:40am, geo-targeting was narrowed to 3 metros. CPA moved $41 → $57.
- Change
- targeting · geo
- Impact
- $41 → $57
- Confidence
- causal · high
Trusted by teams running real budgets
- FitLab
- Maxwell Social
- Lytical Ventures
- Senteon
- Animated for Life
- Nike Studios
- Ren Health
- Qi
- eCommission
- Lyrical Asset Management
- The Matchbox
- Blanken Consulting Group
- Interrupt Media
- TMRW for Men
- Second Sense
- Deodato
The gap
The platforms became black boxes. You got the blame for what you couldn't see.
They change your settings, hide your history, and tell you to spend more. The Ad Spend reads every change, explains why metrics moved, and hands the week back — so the work of monitoring disappears, and the work of ideas comes back.
The engine · five stages · one loop
Five stages. One loop. Every ~3 hours.
Watch, understand, explain, act, repeat — continuous, not sampled. The loop runs every ~3 hours, so nothing waits for the Monday meeting. The data layer is the means; the intelligence is the product.
- 01
Ingest
Every setting and change, at the most granular level. Nothing sampled.
- 02
Understand
Interprets every change through your goals and context.
- 03
Detect
1,900+ algorithms surface anomalies, trends and pacing against your own baseline, every ~3 hours.
- 04
Explain
Causal inference, not correlation — the shift, traced to its change.
- 05
Recommend
What to fix and what to scale, in the language of your objectives.
Three lenses · one record
Memory. Signal. Action.
One system that watches, explains and acts — on a record that never forgets.
Not a hypothesis. Math.
Who it's for
Anyone running ads across multiple platforms.
One person connects the accounts; the whole team gets it. The same system serves the founder running ads alone and the enterprise running them across every market.
Questions
Answers, not gestures.
- What does The Ad Spend actually do?
- It captures every setting, change and metric across your ad platforms — live on Google, Meta, LinkedIn, TikTok and Reddit, with Amazon, Shopify and Pinterest on the roadmap — keeps them on a permanent timestamped record, and every ~3 hours uses causal inference to explain why your metrics moved, then recommends what to fix and what to scale.
- Is this a dashboard or a pixel?
- Neither. It is the data layer — a complete change record underneath your accounts. The data layer is the means; the intelligence is the product. It is not an MCP, not a data pipe, and not a pixel.
- How is this different from platform-native reporting?
- Platform reporting forgets. Change history expires or was never kept, and it judges you against generic benchmarks. The Ad Spend keeps everything permanently and judges every change in your context, with the cause attached.
- How do I get started and who on my team can use it?
- One person connects the accounts in seconds; the whole team gets it. Unlimited seats, no licenses, no training. It is delivered in the web app and in Slack.
- Does anything change my campaigns automatically?
- No. The system recommends and you decide — nothing executes without approval. Every approved change is logged straight back into the record.
Get started
You got into this to create. Not to guess.
Connect your accounts in seconds. The whole team gets it — unlimited seats, no licenses, no training.


