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PromoLift
See which product categories your promotions actually help
Most retailers know which products spike during promos. PromoLift shows which categories actually benefit — and which get cannibalized. Real-time lift tracking by category, CSV import, zero setup. Free to use.
Hey Product Hunt! 👋
I built PromoLift because I kept seeing retail teams run promotions without understanding the full category impact.
Here's a real scenario the demo data illustrates: a grocery chain runs "Summer Soda Fest" featuring two soda SKUs. Soda sales spike 52.9% — looks great, right? But here's what the category-level data actually shows:
Beverages overall: +34.4% lift ✅ (halo effect — non-featured beverages also lifted +8.3%)
Snacks: +6.9% (slight complementary lift)
Bakery: +4.0% (neutral)
Dairy: −6.2% ❌ (cannibalized — people bought soda instead of milk)
Frozen: −6.8% ❌ (also cannibalized)
The soda promotion "worked" at the product level, but it dragged down two unrelated categories. Would you run that promotion again? Maybe — but at least now you'd know.
What you can do with PromoLift today:
Create promotions and associate products from your catalog
Input sales data manually or via CSV
See real-time category lift (featured vs non-featured breakdown)
Get instant benefit/detriment signals per category
Switch between promotions to compare performance
Everything runs in your browser — no backend, no database, no signup. Import your data, see your lift, make better promo decisions.
I'd love feedback from anyone in retail, CPG, or e-commerce who manages promotions. What data would make this more actionable for your team?
About PromoLift on Product Hunt
“See which product categories your promotions actually help”
PromoLift was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #30 on the daily leaderboard. Most retailers know which products spike during promos. PromoLift shows which categories actually benefit — and which get cannibalized. Real-time lift tracking by category, CSV import, zero setup. Free to use.
On the analytics side, PromoLift competes within Analytics, SaaS and E-Commerce — topics that collectively have 258.5k followers on Product Hunt. The dashboard above tracks how PromoLift performed against the three products that launched closest to it on the same day.
Who hunted PromoLift?
PromoLift was hunted by Zach Claxton. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of PromoLift including community comment highlights and product details, visit the product overview.
Zach Claxton