WP Go Maps

AppSumo

Customers have praised WP Go Maps for its impressive customization capabilities, outstanding support, and user-friendly interface. However, there have been some reported hiccups such as minimal integration with ACF and unresolved issues from long-time users. Despite these occasional grumbles, WP Go Maps remains a solid buy for those seeking a reliable mapping solution. With an overall rating of 4.2 and positive feedback from multiple users, WP Go Maps continues to be a top choice for WordPress users.

Visit product View on AppSumoSep 7, 2023

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Actual performance

12reviews

Did not reach leaderboard

Traction signals

Rating4.3 / 5

Purchases859

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: friendly, occasional, interface · Missing: plus, platform, intuitive

69%69% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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