Been digging into sentiment analysis for our app’s marketing. Tried some NLP tools, but results are mixed.
Curious what others are using to gauge customer feelings effectively. Manual reviews? AI-powered solutions?
Feels like there’s potential here, but still figuring out the best approach.
Tried a bunch of stuff. Honestly just ask users directly. Way easier than fancy tools.
We use a mix. Basic sentiment tracking on reviews, plus regular user surveys. Gives us a good idea without getting too fancy.
Skip the fancy NLP tools. They’re often more trouble than they’re worth for most apps.
Focus on actionable metrics instead:
These give you real insights without the noise. You’ll spot trends faster and know exactly where to improve.
If you want to go deeper, set up interviews with a sample of users monthly. You’ll learn way more from 30 minutes of conversation than any AI analysis.
Tried a bunch of sentiment tools over the years. Most overpromise and underdeliver.
What’s worked best for us:
We also set up a Slack channel that pulls in app store reviews. The team reads them daily and we discuss trends weekly.
For social, we use a basic sentiment tracker. It’s not perfect, but flags big shifts we need to dig into.
The key is connecting the dots between all these sources. No single method tells the whole story.
I’ve found a mix of automated and manual methods works best.
Use basic sentiment scoring on app reviews and social media mentions. It gives a quick pulse.
Then dig deeper with targeted user surveys and support ticket analysis. This combo catches issues early and shows what’s really on users’ minds.
Keep it simple and focus on trends over time.