Payment Pages are quick drag & drop lead pages that collect payments instead of leads. If you want to accept payments online without even hosting a website or coding integrations, Payment Pages are the most easy way to do it without repetitive manual tasks.
“Collect Stripe & PayPal payments online with custom pages”
Payment Pages by involve.me launched on Product Hunt on April 20th, 2020 and earned 166 upvotes and 33 comments, placing #5 on the daily leaderboard. Payment Pages are quick drag & drop lead pages that collect payments instead of leads. If you want to accept payments online without even hosting a website or coding integrations, Payment Pages are the most easy way to do it without repetitive manual tasks.
Payment Pages by involve.me was featured in Web App (121.8k followers), Fintech (46.8k followers), Payments (13.1k followers), Email Marketing (33.4k followers), Marketing (462.7k followers), E-Commerce (41.4k followers) and Tech (621.5k followers) on Product Hunt. Together, these topics include over 304.4k products, making this a competitive space to launch in.
Who hunted Payment Pages by involve.me?
Payment Pages by involve.me was hunted by Thomas Schranz ⛄️. 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.
Reviews
Payment Pages by involve.me has received 4 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
Want to see how Payment Pages by involve.me stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Thomas Schranz ⛄️