What it does How it works Demo Pricing FAQ Audit my reporting stack
The reporting engine for performance agencies

Spend less time building reports. More time improving performance.

Decant turns your scattered ad-platform data into one reconciled, AI-ready model — with every number tied to the platforms' own totals, to the dollar. Your team reports faster, analyzes with Claude, ChatGPT, or the AI tools you already use on data it can finally trust, and spots what to fix sooner.

Audit my reporting stack → See the demo

↳ See what's leaking from your reporting workflow. The audit is free for the next batch, and we never need access to your accounts.

One model across
Meta Google TikTok + everything you run Reconciled nightly
Every month, again

Reporting week is eating your best people.

Export Meta. Export Google. Export TikTok. Rebuild the formulas, chase the numbers that don't match, paste it all into ChatGPT and re-explain the account from scratch. Days of senior time, every month, producing reports that are stale the moment they ship.

Decant automates that whole loop and gives your team a model it can finally trust.

meta_export_oct.csv→ paste into chat
google_ads_oct.csv→ paste into chat
client_report_v7_FINAL.xlsx→ rebuild, again

✕ days lost to exports  ·  ✕ numbers that don't match  ·  ✕ AI with no memory

What it does for you

Clean data in. Three outcomes out.

[ REPORT FASTER ]

Automate the reporting grind

All the collecting, reconciling, and maintenance behind every client report, handled for you. Stop rebuilding the same spreadsheets every month.

[ ANALYZE WITH CONFIDENCE ]

Give your AI data it can trust

Claude, ChatGPT, or your BI's AI works from one clean, cross-platform model with real history behind it. The answers come from your actual business, not a stray CSV.

[ IMPROVE SOONER ]

Act on performance sooner

Wasted spend, channel overlap, creative trends, and shifts in blended CAC surface sooner. Faster insight means faster action, and faster action means happier clients.

Audit → Architect → Deploy

From scattered ad accounts to one trusted model, in days.

.01

Audit

We sit down and map how your reporting actually works: channels, attribution, tools, and where the hours go. You walk away with a gap analysis and a concrete recommendation. No account access needed.

.02

Architect

Ready to build? Connect with read-only OAuth, or let the platforms email us their scheduled exports. AI-led onboarding drafts your model: metrics, attribution, event mappings, margin economics. You approve it; we build it.

.03

Deploy & run

The model lands in your dashboards, sheets, reports, and API, plus an AI analyst that remembers every client's history. We maintain it and reconcile it nightly.

Numbers your clients can check

Every report ties back to the platforms' own totals.

Reconciliation is built into the pipeline, not done by hand the night before the QBR. Reports stop needing a defense, and your team stops doing the defending.

This one is an example, but every client model gets a reconciliation report like it before we call the model live.

Two reporting workflows

One of these saves days every month.

The manual workflow
  • ✕ Export platform CSVs every month
  • ✕ Rebuild the same formulas
  • ✕ Reconcile discrepancies by hand
  • ✕ Re-explain context to AI, every chat
  • ✕ Find problems after the report ships
The Decant workflow
  • ✓ Data refreshes automatically
  • ✓ The model stays maintained
  • ✓ Totals reconcile to source systems
  • ✓ AI keeps historical context
  • ✓ Opportunities surface continuously
Why the numbers hold up

Built to be trusted before you're asked to trust it.

✓ Reconciled first

Ties to the dollar, or it doesn't ship

Every model is checked against each platform's own reported totals before we call it live. Reconciliation is the gate, not something done by hand the night before the QBR.

✓ Runs unattended

Refreshes nightly, maintained for you

The pipeline pulls, rebuilds, and reconciles on its own every night, and it's monitored — so a break gets caught before it ever reaches a client's report.

✓ Your cloud, not ours

Your data never leaves your warehouse

Your numbers stay in your own cloud with read-only access you can revoke in a click, never commingled with another agency's, and deleted on offboarding.

This is the standard, not a demo: every client model gets a reconciliation report like the one above, and it has to tie out before a single number goes in a client deck.

Pricing

Priced against a hire you don't have to make.

A data hire runs $150k+ a year. Decant stands up the model in about two weeks, starting with an audit of your reporting workflow that shows you exactly what's worth automating. For a limited time, the audit is free.

★ Start here · The Decant Reporting Audit

See where reporting time and insight are leaking.

A structured review of how your reporting works today: channels, attribution, tools, and the hours behind every client report. You get a gap analysis of your setup and a concrete recommendation for what a managed pipeline would automate and the uplift to expect. No account access required. Free for the next audit batch while spots last.

Limited time · next batch
Free

For the next batch of agencies — normally a paid $4,500 engagement.

→ A gap analysis and uplift plan, no fee
Apply for the audit

We set managed-service scope and pricing after the audit, based on your actual brands, delivery effort, and refresh needs.

Apply

Audits run in small batches. Get in line.

The audit is free for the next batch, so we read every application and pick for fit, not speed. Tell us about your agency and we'll take it from there.

Takes about a minute — the audit is free for the next batch.

We use your details only to evaluate and run your audit. See our privacy policy.

Prefer email? Send the same answers to hello@withdecant.com.

Your clients' data, safe

Built to be trusted with the data your business runs on.

Isolated by designYour own dedicated BigQuery dataset, never commingled with another agency's.

OAuth, read-onlyWe never store passwords, and you can revoke access in one click.

Never sold, never trained onYour data is never sold and never used to train external models.

DPA availableA DPA is available, and your data is deleted on offboarding.

Questions

The objections, answered.

That's the job. The export-rebuild-reconcile loop behind every client report is automated, and the model answers the ad-hoc questions that used to mean another export. Most agencies feel it in the first reporting cycle, when senior people stop doing data janitor work.
We start with how you work, not your logins. In a working session we map your reporting process end to end: channels and spend mix, attribution windows and conversion definitions, which tools touch the data, and where the hours go on each client report. You share only what you're comfortable with. A recent report is plenty. You leave with a gap analysis of your setup and a concrete recommendation for what a managed pipeline would automate, where your numbers disagree today, and the uplift to expect. Connecting data comes later, if and when you continue.
Those tools move raw data into a warehouse or a sheet. Then you have to model, reconcile, and maintain it. You don't have a data team, so that work never happens and you're back to CSVs. We deliver the finished, reconciled model and run it for you. Connectors are the easy 10%; the model is the 90% you can't staff.
You should, for exploration. The problem is what you're feeding it: disconnected exports with no history and no reconciliation. Decant gives those same AI tools one clean, cross-platform model with context that sticks around, so the answers hold up.
All the ones you're running. If a platform has an API, we connect to it directly. If it doesn't, we automate the CSVs instead: the platform emails its scheduled export straight to us, and we map it, clean it, and land it in your model like any other source. No one on your team touches a file. Most agencies start with Meta and Google, where most of the spend lives.
Every figure ties back to each platform's own reported totals and your internal numbers. Reconciliation is the gate before we call a model live, so you see the proof before you're asked to rely on a number. That's what makes the reports, and the AI answers built on them, defensible.
Month-to-month after the first three months. On offboarding we delete your data and export the agreed reporting artifacts or tables. No lock-in.
No. You connect once with read-only OAuth, or point a scheduled report at us. No SQL, nothing to install, no data hire.
Start with the audit

Get reporting week back.

Apply for the audit — free for the next batch. You get a gap analysis of your reporting workflow and a concrete plan for the uplift a managed pipeline delivers.

Audit my reporting stack → See the demo