We’ve all seen dashboards that don’t make sense when you look into the numbers, but now that same data could be training your campaigns to spend your budget chasing the wrong people.
As automation takes over more of the ad-buying process, from creative generation to bidding, data has become one of the last inputs advertisers can control, and perhaps the most important. That’s because automation can only optimize for the signals you give it.
Think about it: Which is worse, a brilliant ad shown to the wrong audience or an average ad shown to the right one? The first spends your budget reaching people you don’t want. The second might get ignored, but if someone does engage, at least they’re the right person.
But can you honestly say the last time you set up a campaign, you spent more time verifying the data than thinking about the ad copy?
The cost of bad data has changed
Several years ago, bad tracking was a reporting problem.
If a tag fired twice, a conversion was mishandled, a value came through incorrectly, or your offline conversions stopped working for a few weeks, the result was a dashboard that didn’t add up. It was annoying, but had little impact. Eventually, someone would question the numbers during a monthly review, you’d trace the issue, fix it, and the data would be good for the next review.
However, that same data now feeds the algorithm buying your paid media. Smart Bidding doesn’t wait for you to interpret a report or reach your monthly review – it reads your conversion data and acts on it before you’ve even noticed an issue.
The same number, now wrong, has a different outcome. A bad number in a report requires an explanation in a meeting.
A bad number in a conversion used for bidding costs you because the algorithm doesn’t know it’s wrong. It optimizes toward that signal the moment it sees it, and it does so efficiently.
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Google doesn’t understand your funnel or your business
While conversion actions are labeled in Google’s interface as “lead,” “opportunity,” and so on, those labels are just for organization. The platform doesn’t actually understand where the conversion event sits in your funnel.
All it sees is a conversion event with a numeric value attached to it (usually representing a currency value), so it has no idea that a newsletter sign-up is worth $2 in eventual value, a lead is worth $60, and an opportunity is worth $400. Google sees three conversions. It has no idea one is worth 200x another.
The algorithm isn’t optimizing for your business outcome. It’s optimizing for the data you’ve given it. If the data is wrong, the…
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