Per-engagement
$300 – $2,000
A single point-in-time review with a two-to-four-week turnaround. Each engagement starts cold, without your COGS or your order record. No Changelog ties the changes you make to what the next audit actually measured.
Reclaim the hours spent manually reviewing your ad accounts. Discover insights tuned to your business.
Every plan starts with a 90-day account sync and a Catalyst Audit, grounded in your first-party data. From the second audit on, your Changelog joins in: the changes you've recorded and the outcomes they produced. The Bayesian statistical core grades every recommendation against that history, and each audit gets sharper as the Changelog grows.
How Trellis measures up.
Monthly retainer
$2,500 – $4,000 / mo
An in-house headcount whose hours are spread across audits, execution, reporting, and meetings. Recommendations land without a confidence floor. Changes made to your campaigns are likely not recorded in a registry cross-referenced month over month to track outcomes.
Annual subscription
$169 – $419 / mo
Each Catalyst Audit reads your Datamart of first-party orders, the Changelog you record after each campaign change, and the trends across audits that came before. Every audit compounds on the one before it, so recommendations stay calibrated to your account.
Make your budget decisions based on evidence, not theories.
Every audit provides a forward-looking report grounded in your margins and order data. Numbers you can stand behind and recommendations you can defend.
Annual billing saves 15%
Core
Four audits a month, so the next decision is grounded in last month's evidence.
Recurring audits grounded in your first-party data and performance marketing results.
$169 / month
billed annually
Core includes:
- Every connected ad account
- Four audits each month
- Shopify integration with per-variant COGS
- Changelog of every change to your account
- Confidence-gated recommendations
- 90 days of audit history
- Datamart trends as a $99 / month add-on
Pro
Eight audits a month, twelve months of trend history, and a record of which changes paid off.
Track what changed, and what happened next.
$419 / month
billed annually
Everything in Core, plus:
- Eight audits each month
- Datamart with twelve months of trend history
- Recommendation outcome tracking — see whether each change worked
- Scheduled audits on a cadence you choose
- Custom COGS upload to override product-level costs
- 12 months of audit history
Agency
Audits scoped per client, with one roster for the whole book of business.
Consistent methodology across every client.
$339 / account / month
3-account minimum · billed annually
Everything in Pro, per client — plus:
- Eight audits per client each month
- Datamart with 24 months of trend history per client
- Per-client data isolation — separate setup, audits, and credits drawn from your agency pool
Extra audits when you need them.
Prepaid credits for when you need more audits.
$69 single audit
$69 / audit
Before a campaign launch or after a major change.
$179 3 audits
$59.67 / audit
One deep-dive audit per quarter.
$259 5 audits
$51.80 / audit
Extra audits through a seasonal push.
Say hello to recommendations that are actually helpful.
Margin truth
See profit per campaign, not just revenue.
Google Ads and Microsoft Ads accept COGS uploads, but only to tune smart bidding — not to show you profit per campaign. Trellis applies your COGS in the audit, broken down by campaign and by product, in a written report you can read and defend.
Cross-checked
Platform conversions are a preview, not the full picture.
Every platform inflates, conflates, or over-counts. Server-side tracking helps and still can’t promise 100%. Trellis isn’t server-side attribution — it joins platform-reported conversions to your store’s orders, so the audit reads from the full picture, not the platform’s claim.
Confidence-gated
Recommendations earn their place above the threshold.
Every recommendation must clear the confidence threshold your data supports before it ships. Thin data stays quiet; the audit holds the finding for monitoring instead of pushing a recommendation it can’t back up.
Falsifiable
A recommendation with a flip condition, or none at all.
Each recommendation names a credible alternative the same data also supports, and the threshold that would change the call. The next audit holds it to that standard.
Outcome tracking
Every change you record tracks to its measured outcome.
The Changelog holds each change you record after making it on the ad platforms, then ties it to what the next audit measured. By month six it’s institutional memory you can’t hire for.
One methodology, three vantage points.
Every audit reads the same foundation of first-party data and contribution margin, then answers the first question each role brings. Run ads yourself, and the audit tells you whether the account is paying for itself. Defend the budget to leadership, and recommendations come gated by a Bayesian core so the case for next month's move is already built when you walk in. Run a roster of clients, and one methodology applies per account with a Changelog scoped per book of business. Each role takes back the hours that used to go into dashboards, and an audit they can act on.
How do I know if my campaigns are actually performing as well as they could?
Every plan opens with a Catalyst Audit that reads your order data and tells you, in plain English, whether each campaign earned its keep. The hours you'd spend digging through dashboards come back to you.
I can't see profit per campaign. I need rigor I can take to leadership.
Every recommendation passes a Bayesian confidence gate before it ships, and every change you record in the Changelog ties to its measured outcome. When leadership asks why the budget moved, the audit is the answer.
Account reviews take three to five hours. Every analyst runs them differently.
One methodology runs across every client on your roster, with audits scoped per account and a Changelog isolated per book of business. The audit takes minutes instead of hours, and analysts on your team stay on the same playbook.
Answers to the questions we hear most.
What counts as an audit?
One audit covers one connected ad account for one analysis window, typically a 14- or 30-day period. Core includes four audits a month across all your connected ad accounts; Pro includes eight; Agency includes eight per client. Each audit ships a written narrative report plus a structured recommendation set.
What's required to run my first audit?
At minimum, connect one ad account and provide your gross margin. Connecting Shopify is optional and adds attribution validation: cross-checking platform-reported conversions against the orders your store recorded. Account Sync runs on the demo data shipped with your workspace so you can read a finished audit before you connect anything live.
Can I change tiers later?
Yes. You can change tiers anytime. Your workspace data and history carry forward, and billing details are handled in your subscription settings.
Does Trellis make changes to my ad accounts?
No. Trellis is read-only against the ad platforms you connect. Every recommendation is something you act on in the platform; the Changelog records each change you log against its measured outcome.
Does Trellis automatically track the changes I make to my campaigns?
We don't make any changes to your ad platforms. As part of connecting integrations, you grant read access to your platform accounts. You record Changelog entries as you make changes to your account or import them from a Catalyst Audit. The following audit reads your Changelog, so each recommendation gets more tuned as your Changelog grows.
What if I represent more than three accounts?
Agency starts at three accounts and scales per account from there. Each client gets their own monthly audit allotment. Overage credits draw from one shared agency-level pool, and per-client data isolation is on by default.
Your first Catalyst Audit
Ready when you are.
Connect your accounts and your first Catalyst Audit runs in minutes. Every recommendation is grounded in your first-party data and your real business economics.