Price isn’t just a number on Teachers Pay Teachers—it’s a signal that guides clicks, conversions, and the algorithm’s attention. We dig into how buyers scan search results, what “fair value” looks like in context, and why a $0.50 tweak can lift both earnings and rank without sacrificing trust.
I walk through a live case study of a one-page, eight-problem function notation activity with a unique emoji puzzle angle. We compare it against search results in the same keywords, map where most offers cluster on price, and unpack how underpricing can raise quality doubts while overpricing can stall sales and bury your listing. You’ll hear how moving from $1.50 to $2 fits the market range, increases revenue per sale, and sends stronger signals to TPT’s search engine—while still respecting the product’s true value.
From there, we break down a simple framework you can apply right away: research pricing before you create, build to the value that matches the winning price cluster, and run small, thoughtful tests after launch. If you see consistent $3 to $4 winners on your keywords, add depth—more problems, warm-ups, paired worksheets, or a mini set of activities—to justify that tier. If your product is intentionally small, aim for the highest defensible price that still attracts clicks beside similar listings. The goal is to balance perceived value, buyer budget, and algorithm incentives so your catalog earns more and ranks faster over time.
Ready to price with purpose instead of guessing? Hit play, then subscribe, share this with a TPT friend, and leave a quick review telling us your most effective pricing tweak. Your feedback helps us bring more practical, step-by-step guidance to every episode.

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