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By Elizabeth Greene · July 29, 2025 · Curated by George's Blog
5 PPC Data Mistakes to Avoid
(And yeah… #5 kind of changed everything for us)
Let’s be honest...
most PPC accounts don’t fail because of bad strategy.
They fail because we’re making decisions off bad or delayed data.
Here are 5 mistakes we’ve either made ourselves or cleaned up in client accounts: 👇
❌ 1. Assuming ad data is real-time
Spoiler: it’s not.
Sales data can lag 12–48 hours, which means that “bad” ACoS you saw this morning?
It might look a whole lot better by tomorrow.
Be careful what you react to.
❌ 2. Using the same look-back window for every product
If you’re selling high-ticket items or products with low conversion volume, a 7-day window is useless.
You’ll get massive swings that don’t reflect true performance.
We go 30-day rolling for stability.
❌ 3. Skipping short windows when speed matters
Some brands spend fast. If you’re pushing hard on keywords or testing big budget shifts, you can’t wait 14–30 days.
We check 2–3 day windows on high-velocity accounts to catch issues early.
❌ 4. Only looking at rolling windows and ignoring daily numbers
Yes, rolling windows are great for trends —
but if you’re not watching daily sales + ad spend, you’re missing real-time performance cues.
Those two metrics tend to update faster than everything else.
❌ 5. Not using Amazon Marketing Stream
This one changed the game for us.
Marketing Stream gives you hourly data — so you can actually see what’s happening today, not two days from now.
Clicks, conversions, impressions — all in near real-time.
If you're not using it yet, you're leaving insight (and probably budget) on the table.
If your PPC data loop is broken,
your optimizations are basically guesswork.
Fix the data.
The rest gets easier.
#AmazonAds #PPCStrategy #AdOptimization #EcommerceMarketing #MarketingStream #ElizabethGreeneStyle #MarketingTips