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Campaign metrics looked great until the client actually questioned one number
I had a campaign implode on me last month because I trusted the platform's built-in analytics without checking the source code. We were running a local lead gen push for a garage door company in Phoenix, and the cost per lead dipped to $4.50, which felt unreal. Turns out the form was submitting but the thank you page redirect was broken, so people filled it out and got an error, and the pixel counted them as conversions anyway. The client only found out because his sister tried to book a service and told him the site was glitchy. I spent a full weekend rebuilding the form flow and added a server side tracking layer that matches actual submissions to leads. My question is, how do you verify your conversion data when the numbers look abnormally good? I've started doing a random manual test every other week now, but I still feel like I'm missing something.
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dixon.spencer1mo ago
Those $4.50 leads were the first red flag for me too. Anything under $10 for garage doors in Phoenix means something is off, no question. I trust server side matching way more than pixel data these days, it catches stuff like broken redirects that never show up in platform reporting. Doing manual tests every other week is good but I also spot check by calling fake submissions through the whole flow once a month. You got burned once, that gut feeling you have now is probably worth more than any analytics tool.
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