Get the feedback you need to build products and experiences your customers will love. Iterate’s user-friendly research tools help you target exactly the right people at the right time to make sure you’re getting the most relevant, valuable insights.
I love working with Iterate because it eliminates the need for bulky 50 question user surveys, live in person focus groups (was lovely during covid when this couldn't happen at all), and sifting through Google Analytics data for 'trends' to answer questions.
We use Iterate because we're constantly testing new features on our site, landing pages with media spend, and messaging tactics. Iterate provides a single script to drop into your source code and then you can create custom branded surveys that keep the user on your site. We've been able to increase conversion rates, launch new products/services and get event/registration hesitation feedback in days/weeks instead of trying to decipher was directional data tells us.
Based on our record, Parse.ly Analytics should be more popular than Iterate. 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.
For example, there is this product , but it does not support flutter. Source: about 3 years ago
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
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
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
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