A few years back, a client sent me a screenshot of their ad dashboard with one line attached: “This is great, right?” The number was a 6.2x ROAS on a paid social campaign. Most people would look at that and start planning the case study.
Turned out the campaign was actually losing money. Once you added in product cost, returns, and the platform fees stacked on top of the ad spend, that “great” ROAS meant the business lost a little on every dollar it pushed toward scaling.
I bring this up because it’s not a rare situation. I’ve sat in more reporting meetings than I can count where someone points at a number and says “look how well this is doing,” and the number is real, it’s just not saying what everyone assumes it’s saying. Marketing and PR both run on dashboards now, which is mostly a good thing. But a metric only measures exactly what it was built to measure. Nothing more. It won’t tell you about the six other things that determine whether the campaign actually worked.
Here are the metrics I see misread the most, why it happens, and what I’d actually check before trusting the number in front of me.
Why This Keeps Happening
Most of the time, misreading a metric comes down to one of three habits, and honestly I’ve been guilty of all three at some point:
- Looking at a number by itself instead of next to the number that gives it meaning.
- Comparing it to a generic industry benchmark instead of your own history or your own margins.
- Assuming the metric measures what its name suggests, when really it’s measuring something adjacent.
Once you start watching for these, misleading numbers get a lot easier to catch before they cause damage.
Click-Through Rate
CTR feels simple. High CTR, good ad. Low CTR, bad ad. But really, CTR tells you how well your ad copy matched what someone expected to see in that split second. It says almost nothing about what happens after the click.
I’ve run campaigns with CTRs well above the industry average because the copy overpromised a little. Clicks poured in, and then bounce rate spiked and conversions basically stalled, because the traffic wasn’t actually looking for what we sold. I’ve also seen the reverse: a plainer, more “average” ad that filtered people out by being specific, and it quietly outperformed everything else in the account.
What I’d check instead: put CTR next to conversion rate and bounce rate before drawing any conclusions. If CTR is climbing and conversion rate is sliding, that’s usually your copy attracting curiosity instead of intent.
Return on Ad Spend
This is the big one, and it’s the example I opened with. ROAS measures revenue per dollar spent on ads. It does not measure profit, and people conflate the two constantly.
A 5x ROAS looks fantastic until you know the product runs on a 15% margin. At that margin, you actually need something closer to a 6.7x ROAS just to break even once cost of goods is factored in. Anything below that number is a loss, no matter how good it looks sitting in the ads dashboard. I dug into this exact scenario, including how to work out your own break-even point before scaling anything, in a piece on why a good ROAS doesn’t always mean a profitable campaign.
What I’d check instead: work out your break-even ROAS from your gross margin before you look at any campaign’s actual ROAS. Without that number sitting next to it, “good” ROAS is really just a guess wearing a metric’s clothing.
Customer Lifetime Value to Customer Acquisition Cost
A 3:1 LTV:CAC ratio gets treated like the industry gold standard, and a lot of dashboards will flash green the second you cross it. But that ratio quietly leaves out something that matters just as much, which is time.
If it takes two years to actually recover that acquisition cost, a 3:1 ratio can still put real pressure on cash flow, especially at a company that needs to reinvest sooner than that. Two businesses can post the exact same LTV:CAC ratio and be in totally different financial shape, because one recovers its CAC in three months and the other takes twenty four.
What I’d check instead: look at CAC payback period alongside the ratio, not after it. A slightly lower LTV:CAC with a short payback period is usually the healthier business, even if it looks less impressive on the slide.
Impressions and Reach
This one shows up constantly in PR and comms reporting, not just paid media, and it’s an easy one to fudge without meaning to. Impressions and reach both describe exposure, but they’re answering different questions, and mixing them up leads to reports that look great and say almost nothing useful.
Impressions estimate total potential views, counting repeat views from the same person. Reach counts unique people. A campaign with millions of impressions and modest reach usually means a smaller audience saw the same thing over and over, which is a very different outcome than genuine broad visibility. Essential PR metrics every brand should track makes a similar point: high impressions paired with low reach often means your content isn’t landing with the right audience, even when the top-line numbers look strong.
What I’d check instead: report reach and impressions side by side, always, and ask what the gap between them says about audience diversity, not just volume.
Share of Voice
Share of voice tells you how much of the media or social conversation your brand is taking up compared to competitors. It’s a genuinely useful number, but people treat it as a stand-in for brand health or sentiment, and it isn’t one.
A brand can post a record share of voice during a product recall, because the coverage volume spikes, while sentiment is quietly falling apart underneath it. I’ve seen internal reports celebrate a “record month” for SOV without anyone mentioning that most of the coverage driving it was negative. 14 key metrics for measuring a PR campaign’s effectiveness is a good reminder that coverage volume and coverage quality need to be weighed separately, not folded into one score.
What I’d check instead: never report SOV without sentiment sitting right next to it. Volume of mentions and the tone of those mentions tell two different stories, and a single number can’t carry both.
Conversion Rate
Conversion rate looks like the cleanest, most self-explanatory number on the dashboard, but it’s extremely sensitive to how you define a conversion and what traffic you’re measuring it against. I once audited an account where conversion rate looked strong mostly because the campaign was pulling in branded searchers who were going to buy anyway, ad or no ad. The number was accurate. It just wasn’t telling us anything about incremental value.
What I’d check instead: break conversion rate down by traffic source and audience type, and think about incrementality rather than the raw percentage. A strong conversion rate on branded search doesn’t tell you much about whether your prospecting campaigns are actually pulling their weight.
Customer Acquisition Cost, By Itself
A falling CAC gets celebrated every time it shows up in a report, and sometimes that’s fair. But sometimes it just means budget shifted toward channels that bring in cheaper customers who also churn faster or spend less. A dropping CAC next to a rising churn rate isn’t really progress. It’s a trade nobody signed off on, hiding in two separate slides.
What I’d check instead: put CAC, churn, and average customer value in the same view, over the same period. Cost and quality need to move together in a report, or the report is misleading by omission.
Building the Habit
None of these metrics are wrong to track. The problem is never the number itself, it’s treating any one number as the whole answer. The people I trust most on measurement have basically the same habit: before acting on a metric, they ask what it’s not measuring, what it’s really being compared to, and what other number, sitting right next to it, would change the story.
For a broader look at how PR teams are pulling these threads together into one framework rather than reporting metrics in isolation,
The Takeaway
Good numbers don’t lie. But they don’t tell the whole story either, and dashboards are very good at making a partial story feel complete. The marketers and communicators who consistently make good calls aren’t the ones with access to fancier metrics. They’re the ones who pause for ten seconds and ask what the number in front of them is leaving out.
Next time a dashboard hands you something that looks great, give it those ten seconds before you celebrate. It’s a small habit, and it’ll save more budgets than any new tool ever will.
