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HOW TRELLIS WORKS

Spend less time guessing.
Confidently manage your performance marketing campaigns.

very Catalyst Audit grounds its recommendations in your own order record, your real business economics (gross margin, AOV, COGS, target CPA and ROAS), your Changelog of the campaign changes you’ve recorded, and a statistical core that compounds with every audit you run. Each audit reflects what your specific account does, and sharpens as your account history accumulates.

The first-party spine FIG. 2.1 · Trellis Methodology
The first-party spine: platform-reported conversions are treated as a hypothesis, the Datamart holds the first-party order record, the audit reads from reconciled metrics tracked against the Datamart. FIG. 2.1 [ ILLUSTRATIVE ] THE FIRST-PARTY SPINE PLATFORM-REPORTED THE DATAMART RECONCILED METRICS Treated as a hypothesis. Your first-party order record. What the audit reads from. Google Ads · Microsoft Ads conversions. Shopify GraphQL daily sync, or CSV upload. tracking_accuracy · attribution_coverage · attribution_distribution. tracking_accuracy gate · the order record is the ground truth.
QUICK ANSWERS

The audit that reads what your ROAS hides.

Q1

What does Trellis do?

Trellis is a performance marketing audit platform for ecommerce operators running Google, Microsoft, and Meta Ads. It joins your ad platform data to your storefront’s order record and your COGS, then authors a precise, account-specific audit of which campaigns are profitable after costs. A 4× ROAS can lose money once a promotion pulls your margin below 25%. Trellis catches that; your ad platform won’t. ROAS itself can be inflated, too. Trellis reconciles what your ad platform reports against what your storefront actually recorded. Every recommendation is calculated by the Trellis confidence core, not a generic AI prompt: the core estimates the probability that your account’s true conversion rate, CPA, or ROAS clears a threshold, given what your account has actually done. Projections come as credible ranges, not made-up numbers. Each recommendation is then tagged confident, directional, or held: act on now, watch, or revisit when the next audit has more evidence. The held bucket is where Trellis shows restraint. When the data can’t support a call, you see that it’s being held, not forced from too little evidence. The Changelog stores every campaign change you record after making it on the ad platforms; the next audit reads the Changelog before computing, so the recommendation set sharpens to your account, not to accounts in general.

Q2

How can I use Trellis to increase the ROI of my performance marketing?

You use Trellis as the discipline layer between your ad platform data and the moves you make on the account. On a monthly cadence (or weekly, if your spend warrants it) you run a Catalyst Audit. The report groups every finding into three buckets: act on the confident ones now, watch the directional ones, leave the held ones alone until the next audit can ground them. Every confident recommendation names a direction, the credible alternative the same data also supports, and the metric threshold that would shift the call in the next audit. You make the changes on the ad platform; Trellis never writes to your campaigns or ad accounts, because you hold context it cannot see and the call should stay with you. You record what you changed in the Changelog. The next audit reads the Changelog before computing, so it evaluates what you tried against what it actually earned. The ROI lift compounds from three places: catching unprofitable spend the ad platform’s ROAS hides, acting only on calls that clear the evidence bar instead of optimizing on noise, and a decision trail your ad platform can’t recreate.

THE MATH BEHIND EVERY RECOMMENDATION

Every recommendation shows its work and names what would change it.

Each recommendation in your Catalyst Audit pairs an action with the evidence behind it, a credible alternative the same data supports, and a flip condition the next audit can verify. When there isn’t enough evidence, the audit calls it out and holds the finding for monitoring rather than pushing a recommendation.

Recommendation Confident

Reduce target CPA on Brand | Exact by 18% over the next two weeks.

Conversion rate steady at 6.4% across 412 conversions in the audit window. Cost-per-conversion has trended 11% above your target CPA for three consecutive weeks.

Sustained conversion rate above 5.8% and no material change in landing-page bounce behavior.

Hold target CPA flat and reinvest the savings into Brand | Phrase, where impression share is volume-capped and conversion quality is matching exact-match performance.

Conversion rate drops below 5.8% for two consecutive weeks, OR impression-share-lost-rank on Brand | Phrase exceeds 35%.

Understanding a Catalyst Audit, in four moves.

Each audit is calibrated to your account. It compounds with every run.

Every Catalyst Audit runs on the Trellis confidence core. It reads your foundation and computes a confidence estimate , the updated probability each finding holds true given what your account has actually produced. Recommendations surface only when that probability clears the action threshold; everything else waits. That estimate carries forward, so each audit starts where the last one ended.

IIt reads your foundation.

Orders, refunds, COGS, attribution lineage, and every change you’ve recorded since the last audit. Trellis stays read-only; you are the actor and the recorder.

IIIt grades the evidence.

Every finding is calculated by the statistical core against what your account has actually done, not generated by a prompt. The math travels; the data stays per-account.

IIIIt holds what the data can’t support.

Insufficient data is a valid result, not a failure. You see what’s worth watching alongside what’s ready to act on. Never a recommendation forced from too little evidence.

IVIt compounds with each run.

After three audits, the model can project budget impact. After six, it runs full inference calibrated to how your account responds, not to a generic benchmark.

YOUR DECISION TRAIL

You record the change. The next audit evaluates the outcome.

The Changelog connects each Catalyst Audit to the next. It stores every recommendation surfaced in a Catalyst Audit alongside every campaign change you record after making it on the ad platforms, so the next audit can evaluate what was acted on against what it actually produced. Trellis stays read-only across your accounts. You control which changes you make.

The compounding loop FIG. 4.1 · Trellis Methodology
Every audit compounds on the one before it: confidence accumulates in discrete steps, with projection unlocking at audit 3 and full inference at audit 6. A step-up chart with six discrete steps rising left to right, one per audit. Steps 1, 2, 4, 5 are navy hairlines. Step 3 is highlighted in clay and labeled "projection unlocks." Step 6 is the highest, rendered in rich clay with a heavier stroke and labeled "full inference." Every audit compounds on the one before it. After three audits, projection unlocks. After six, full inference. projection unlocks full inference audit 1 audit 2 audit 3 audit 4 audit 5 audit 6 confidence accumulates
THE TRELLIS RATING

A Trellis Rating weighted toward margin, not revenue.

Every Catalyst Audit opens with a single Trellis Rating, scored across four signals about your account. Margin pulls heavier than volume, so your audit will not congratulate you on growing top-line revenue while gross margin is moving the wrong way. Whichever signal is weakest becomes the next-best-action message at the top of your report.

Margin
Profitability against break-even targets.
Tracking
Platform-reported conversions reconciled against the first-party order record.
Context
Whether the profile has the data the audit needs: COGS, attribution, business metrics.
Follow-through
Whether prior recommendations have been acted on, observed, and recorded.
CONFIDENCE, NAMED IN THREE TIERS

Some findings are ready to act on. Others are worth watching or holding for further review.

A single confidence score conflates two situations that should stay distinct: a finding with measured evidence behind it, and a finding there isn’t enough data to evaluate. From one number you cannot tell which is which. Your Catalyst Audit reports them in three buckets so you can. Confident findings clear the threshold to act on now. Directional findings are worth watching but not yet decisive. Held findings are recorded as open questions the next audit will return to when more data arrives.

The confidence buckets FIG. 3.1 · Trellis Methodology
The confidence buckets: density of evidence across Confident, Directional, and Held tiers. Three panels side by side. Confident shows a dense scatter of clay dots representing strong evidence. Directional shows a sparse scatter of muted navy dots representing limited evidence. Held shows diagonal hatching with no dots, representing findings withheld from the count for insufficient data. FIG. 3.1 [ ILLUSTRATIVE ] THE CONFIDENCE BUCKETS CONFIDENT DIRECTIONAL HELD Held is not zero confidence. It is the audit naming what it cannot yet defend.
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.