Find high-performing Pinterest campaigns
Analyze 4 weeks of campaign data against interest category and ad format benchmarks to surface budget expansion opportunities
High-intent Pinterest audiences might be maxed out while your budget sits in underperforming interest categories
This template automatically surfaces Pinterest campaigns that consistently beat your ROAS benchmarks—particularly shopping campaigns that often deliver 2-3x better performance but get capped by conservative budgets. It pulls 12 weeks of performance data, then analyzes the last 4 complete weeks to identify statistically significant outperformers across interest categories and ad formats.
Why this matters
Pinterest's unique planning behavior means users engage with content 45+ days before purchase, making standard 7-day attribution windows miss 60% of conversions. High-performing interest categories like "Home Decor Ideas" or "Wedding Planning" quickly hit budget caps while broad targeting continues spending inefficiently. This template identifies expansion opportunities accounting for Pinterest's longer consideration cycles and seasonal patterns, ensuring you scale winners before peak seasons arrive.
How to customize
Extend the attribution window to 30 or 60 days to capture Pinterest's full conversion path. Add save rate and closeup rate metrics that predict future conversions better than clicks. Include seasonal trend analysis since Pinterest traffic spikes 3-4x during holidays. Set different ROAS thresholds for awareness (Pins) vs direct response (Shopping) campaigns. Layer in interest category affinity scores to identify adjacent audiences for scaling.
Identify over performing Pinterest prospecting and retargeting campaigns that you recommend to investigate for additional budget allocation. We are looking at underperformers separately.
Follow these steps:
* Pull Pinterest ads performance for the last 12 weeks:
* In the analysis only consider conversion and shopping campaigns for the last 4 complete weeks (use the filter)
* Pull Pinterest ads conversions to set a benchmark.
* Pull Pinterest ads conversions by interest category to set a benchmark.
* Pull Pinterest ads conversions by ad format (Standard Pin, Video Pin, Shopping Ad, Collection) to set a benchmark
* Identify campaigns that are overperforming significantly compared to benchmarks in terms of roas.
* Check seasonal trends - Pinterest has strong seasonal shopping patterns
* Output a summarized message with findings, summarized bullets to support it and a one sentence line to wrap it up. In the message state what percentage of budget this budget represents.
Note:
* Budget increases should happen gradually, especially during peak seasons (holidays, back-to-school, spring/summer)
* Pinterest users plan 45+ days ahead - consider longer attribution windows
* Shopping campaigns often outperform standard campaigns by 2-3x
* List out all the campaigns to investigate.
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