TL;DR
- If your performance numbers are down, your single-axis maturity model might be telling you to solve for the wrong problem
- A true framework should factor in two variables: what the market is doing to you (market pressure), and what you're equipped to do about it (operational readiness)
- Use our 2x2 framework (and our handy worksheet) that considers both variables to more accurately evaluate where you fit
- Two Seer clients thought they had performance problems but used our framework to pinpoint other underlying issues
- Learn three quick things you can do this week to help identify the underlying issues that could be impacting your numbers
Is Your Maturity Score Focusing on the Wrong Problem?
I've worked with dozens of marketing teams, and every one of them has had the same bad week. Numbers dip, costs climb, and someone asks what happened.
The hard part isn't spotting the dip, it's answering why the dip happened. Half the room says the market got harder. The other half says the operation got slower. Both sides bring a chart, and the meeting ends without a decision.
Most maturity models make that worse, because they score you on one axis and hand you a single number. So teams solve for the wrong problem. They refine audiences while the tracking is broken, or rebuild workflows while a funded competitor walks into the auction.
You need both readings. That's why I built a two-axis framework to separate what the market is doing to you from what you're equipped to do about it.
Why One Score Can't Answer a Two-Part Question
Every marketing maturity model I've seen collapses into a single number. You're a 3.4. You're "developing." You're tier two of five.
That number can't answer the two questions your team actually needs answered:
- Is the market getting harder, and is that what's driving the decline?
- Is our own operation too slow or too broken to keep up?
These are independent variables.
Market pressure is what the market is doing to you: competitive density, share of voice movement, creative velocity in your category, and how fast the ground is shifting under your positioning.
Operational readiness is what you're equipped to do about it: documentation, repeatable workflows, accurate data, real governance, and a team trained on the current process.
A company under heavy pressure with a strong operation is in a completely different position than a company under identical pressure with no operational structure. Yet a one-number model puts them in the same bucket and sends them the same advice.
Score both variables, because the decision lives at the intersection.
A New Framework to Evaluate Readiness and Pressure
The one that gets people is Borrowed Time. Nothing looks wrong, so nothing gets escalated. Then a well-funded competitor shows up and you have no operational capacity to respond with, because the soft market was doing all the work.
How to Score Yourself
Both axes are measurable this week, using exports you already have access to. You can also use our handy worksheet to see where you land.
Reading Market Pressure
Pull auction insights for the last three 30-day windows and put them side by side.
You're looking for three things:
- How many advertisers are in your brand auction
- Whether that count is growing
- Whether your impression share is moving
Then run the new names through the Google Ads Transparency Center to see whether they're established companies making a real push or affiliates passing through.
In one account we manage, that comparison showed brand impression share down 9.95 points in a single 30-day window, with the advertiser count on brand terms going from two to six. All five new entrants checked out as established companies. That is a market getting harder, and it was sitting in a report nobody had opened in a while.
A WORD OF CAUTION
An impression share drop on its own doesn't prove pressure, because a match type change or a bid strategy change on your side produces a similar signature. Check your own change history before you conclude the market did it. New advertiser names are the cleaner signal, since nothing inside your account can create those.
Reading Operational Readiness
Run through these five checks. They fail at the weakest link, not on average:
- Documentation: could someone outside the team launch a campaign from what's written down?
- Workflows: does the process survive one key person being out for two weeks?
- Data accuracy: does one conversion get counted once, and does it reconcile to the back end?
- Governance: is there a named owner for measurement changes, and a log of them?
- Training: has everyone touching the account been trained on the current process this year?
If you have two or more answers of no, then readiness is your constraint regardless of what the market is doing.
Two Client Accounts, Two Quadrants
Now let’s see the framework in practice with real Seer clients. Both of these arrived described as performance problems. They landed in different quadrants and needed opposite responses.
Client 1, Exposed: The Pressure Was on the Invoice
A healthcare software company came to us with paid underperforming and assumed it was demand. Wrong audience, wrong message, or a softer segment of the market.
Market pressure: The pressure was real, but not where they were looking. They held a strong majority of their own brand auction, which read as healthy. Underneath that, a category leader and two review site aggregators were all bidding on their brand terms. The aggregators were partners the company pays for placement. They were being paid for visibility and competing for the same searches. Off brand, the company's share collapsed and it was outranked by the category almost every time, so the brand position was carrying the entire program.
Operational readiness: Their paid spend was running against almost no tracked revenue. Forms were mid migration, the CRM wasn't passing conversion data back to the ad platforms, and UTMs were breaking somewhere in the path, so paid traffic was landing in reports as organic and direct. The client suspected that last part but couldn't prove it. Smart bidding was optimizing against a signal that didn't describe the business, which means months of optimization decisions were made against a number that was wrong. Spending more would have made it worse.
High pressure, low readiness. Exposed.
The fix: They had to work on the measurement layer first. Repair the tracking, close the cross domain gap, and streamline the UTM path end to end. For the first time the team could see what paid actually contributes, which turns budget scaling from an argument into a decision. The brand defense work against the aggregators could then be scoped against real numbers instead of platform-reported ones.
Client 2, Borrowed Time: The Number that Looked Good
A consumer insurance business had the opposite profile.
Market pressure: Competitors were largely absent from the channels they were buying, so auction pressure was genuinely low. Performance looked fine.
Operational readiness: It wasn't. The same conversion was being counted twice, and a slice of paid traffic was reporting outside the main view entirely. The reported numbers were better than the real ones, which is the version nobody investigates. A bad number gets a meeting. A good number gets a screenshot in a deck.
Low pressure, low readiness. Borrowed Time, and it looked like success right up until someone checked.
The fix: Once measurement was clean, the soft market turned into an opportunity instead of a cushion. The next move was offensive: entering the display channels where the competitors actually are, funded by budget that had been propped up by inflated numbers.
Same symptom on a dashboard, two quadrants, two opposite first moves. One client had to fix measurement before it could defend a position it was already losing. The other had to fix measurement before it could go take ground nobody was holding.
Three Things You Can Do This Week
Each of these takes under an hour, and each one tests a different layer: the technical foundation, the message, and the workflow. If one fails, you've narrowed the problem before you've spent anything.
Run your top five paid landing pages through PageSpeed Insights on mobile. If they fail, you don't have a targeting problem, and every hour spent on audience refinement is an hour spent on the wrong axis.
Pull your live ads and read them next to your landing page copy. Do they make the same promise, or has paid been running six months ahead of the web team? The size of that gap tells you whether the two teams share a source of truth.
Document your campaign launch process. The real sequence, including who to message when it breaks. If you can't get it down in an hour, your workflow layer is undocumented, and undocumented workflows are the first thing to fail when the market moves. You can't fix a process you can't describe.
Find Out Which Quadrant You're In
We built a worksheet that scores both axes. Ten questions, about fifteen minutes, and it plots you on the grid. Grab yours here↓
Placing yourself is the easy part. Deciding what to do about it is the part that costs a year of spend when you get it wrong.
If you want a second read on your score against your own data, get in touch and we'll walk through it with you.
