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CheckoutBoost ‑ Rules & Upsell
Boost AOV with checkout & post-purchase upsells, rules
CheckoutBoost is a no-code app for checkout upsells, post-purchase offers, free gifts, and cross-sells. Use AI recommendations, bundles, BXGY, and auto-discounts with flexible rules. Add shipping motivators, progress bars, surveys, badges, and custom fields. Customize shipping and payment methods, format addresses with RegEx, and style checkout using a drag-and-drop editor. Increase AOV and revenue with 60+ targeting conditions—no commissions.
About CheckoutBoost ‑ Rules & Upsell on Product Hunt
“Boost AOV with checkout & post-purchase upsells, rules”
CheckoutBoost ‑ Rules & Upsell was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #501 on the daily leaderboard. CheckoutBoost is a no-code app for checkout upsells, post-purchase offers, free gifts, and cross-sells. Use AI recommendations, bundles, BXGY, and auto-discounts with flexible rules. Add shipping motivators, progress bars, surveys, badges, and custom fields. Customize shipping and payment methods, format addresses with RegEx, and style checkout using a drag-and-drop editor. Increase AOV and revenue with 60+ targeting conditions—no commissions.
Who hunted CheckoutBoost ‑ Rules & Upsell?
CheckoutBoost ‑ Rules & Upsell was hunted by Kintesh Patel. 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.
Want to see how CheckoutBoost ‑ Rules & Upsell stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kintesh Patel