What we actually look at in the first 30 days of a new account

The first 30 days of a new account tell you almost everything: what's been working, what's been quietly breaking, and where the real leverage is. It's also the period where the wrong moves cost the most. You're touching an account the algorithm has already learned, and disruption has a real price.

We don't come in and blow up what's working. We audit first, prioritize the highest-impact problems, and make deliberate changes with a clear hypothesis for each one. Here's exactly what we look at.

Creative fatigue

We pull a performance overview of every active creative going back 90 days. We're looking to understand which themes and concepts are resonating, which ones have run their course, and where there are gaps we haven't tested yet. Are there winning angles worth expanding on? Concepts that ran but never got meaningful spend? Formats that haven't been tried?

When an account lacks a clear sense of what's working and why, and has no pipeline of new tests informed by that data, creative development becomes priority one.

Attribution and channel overlap

One of the first things we look at is how a brand's reported ad revenue compares to their actual revenue across all channels. When platform-reported numbers significantly exceed what's showing up in the business, that's usually an attribution overlap problem.

Two patterns come up most often. The first: a paid social channel is generating a lot of view-through attribution credit, meaning it's claiming conversions where the user saw an ad but never clicked. That can inflate ROAS significantly and make channels look far more efficient than they actually are. The second: heavy investment in brand search campaigns relative to non-brand, shopping, or YouTube. Brand search captures existing intent, it doesn't create new demand. If most of the reported paid revenue is coming from people who were already going to buy, acquisition efficiency looks strong on paper while the business is stagnating underneath it.

Our Performance Tracker makes this visible quickly. By comparing what each platform is claiming daily against what revenue actually came in, we can pinpoint where the disconnect is and start diagnosing why.

Frequency versus reach balance

We pull frequency data segmented by campaign type: prospecting versus retargeting. These should look very different. Retargeting can sustain higher frequency because you're showing ads to a warm audience that has already interacted with the brand. Prospecting at high frequency is usually a problem: it means you're repeatedly showing ads to the same people rather than reaching net-new potential customers.

High prospecting frequency typically signals one of two things: the audience is too narrow for the budget, or the campaign structure doesn't have enough audience diversity to spread reach broadly. Both are fixable, but the fix is different, and diagnosing which one it is takes some digging.

Media mix evaluation

Platform ROAS tells you about return on spend. It doesn't tell you whether that return is coming from people who had never bought before or from your existing customer base buying again. That distinction matters enormously, especially for brands trying to grow.

We go channel by channel to understand what each one is actually contributing to new customer acquisition. A channel with strong ROAS but a low new customer rate is primarily serving retention, not growth. That's not wrong, but it changes how you should think about scaling it. We use our Performance Tracker to see this across all channels at once, mapped against actual revenue, so the picture is based on what's real rather than what each platform claims.

From there, we assess whether the business is in a healthy position to push spend aggressively or needs to get more efficient before scaling. Stage of the business, monthly spend levels, and product margins all factor into how we think about channel recommendations, pacing, and budget allocation. A brand with strong margins in a growth phase gets very different guidance than one that's stretched thin and needs to rationalize its channel stack before adding more.

The goal isn't to be on every channel. It's to understand which channels are building the business, which are maintaining it, and what the right mix looks like given where the brand actually is.

What we don't do in the first 30 days

We don't restructure the entire account. The algorithm has learned from the existing structure, and tearing it down resets that learning. If we agree with a client that the existing setup was fundamentally broken, we'll rebuild it — but that's a deliberate decision made together with a clear rationale, not a default move on day one.

We don't change multiple things simultaneously. In the first 30 days, we prioritize the two or three highest-impact changes, implement them one at a time with enough time between changes to read the signal, and build from there. Changing too much at once makes it impossible to know what worked.

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Diagnose first. Everything else follows.

The first 30 days is a diagnostic, not an overhaul. The areas that tell us the most: creative fatigue, attribution and channel overlap, prospecting frequency, and media mix. Most of the highest-impact changes we make in an account trace back to what we found in those areas. After 30 days, we have enough to build a prioritized roadmap for the next 90. Any major changes made before that picture is clear tend to cost more than they gain.