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IAPHUB VS Parse.ly Analytics

Compare IAPHUB VS Parse.ly Analytics and see what are their differences

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Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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IAPHUB logo IAPHUB

The easiest way to implement IOS/Android In-app subscriptions and purchases in your app.

Parse.ly Analytics logo Parse.ly Analytics

Analytics for understanding audience attention
  • IAPHUB Landing page
    Landing page //
    2022-09-01

App developers know how time consuming it is to implement In-App purchases the right way their IOS/Android mobile application, we've been there! At IAPHUB we develop the tools for these folks to spend their precious time on their app instead. Receipt validation, Customer details, Webhooks, Analytics, A/B Testing, Product segmentation! We have all the tools to start increasing your sales.

  • Parse.ly Analytics Landing page
    Landing page //
    2023-05-03

Category Popularity

0-100% (relative to IAPHUB and Parse.ly Analytics)

IAPHUB

Parse.ly Analytics

SaaS
47 47%
SaaS
53% 53
Analytics
0 0%
Analytics
100% 100
Subscriptions
100 100%
Subscriptions
0% 0
Developer Tools
100 100%
Developer Tools
0% 0

User comments

Share your experience with using IAPHUB and Parse.ly Analytics. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Parse.ly Analytics seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

IAPHUB mentions (0)

We have not tracked any mentions of IAPHUB yet. Tracking of IAPHUB recommendations started around Mar 2021.

Parse.ly Analytics mentions (3)

  • Google Analytics: seems to really suck now, alternatives?
    I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago
  • Ask HN: Who is hiring? (July 2021)
    Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago
  • Automatad's AdTech Weekly Roundup #153
    Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago

What are some alternatives?

When comparing IAPHUB and Parse.ly Analytics, you can also consider the following products

Qonversion - The subscription data platform for mobile-first companies

GoSquared People Analytics - One place to understand your users

RevenueCat - In-app subscriptions made easy

Currents by Parse.ly - Uncover what’s making 1 billion people pay attention

Adapty - Low-code price personalization for in-app subscriptions

Zoios - Understand and keep your employees with people analytics

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