Launch Intel
WP Scheduled Posts

WP Scheduled Posts

AppSumo

Customers appreciate WP Scheduled Posts for its efficient scheduling, seamless integration with WordPress, and time-saving automation. Some users have encountered challenges with social media setup and support responsiveness.

Customers appreciate WP Scheduled Posts for its efficient scheduling, seamless integration with WordPress, and time-saving automation. Some users have encountered challenges with social media setup and support responsiveness. Overall, with a 4.0 rating and positive feedback, WP Scheduled Posts is a solid buy, especially with its 60-day money-back guarantee.

Visit productView on AppSumoDec 30, 2019
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Actual performance

46reviews
Did not reach leaderboard

Traction signals

Rating4.0 / 5
Purchases3,516

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: efficient, users · Missing: plus, platform, intuitive
77%77% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
26%26% predicted probability of success on Acquire.com, 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
22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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