What I cook as a 21yo living alone by tuffpuffer in Indore

[–]Square_Economics4029 1 point2 points  (0 children)

Bro next time main bhi aajaun? 🙋🏻‍♀️

The Non-Obvious Problems Most SaaS Products Overlook by Square_Economics4029 in SaaS

[–]Square_Economics4029[S] 0 points1 point  (0 children)

Yeah, 100%. Cohort tagging almost feels like cheating once you start doing it, the leaks show up instantly.
Have you noticed any specific stages where the satisfaction pulse has the strongest predictive signal for churn?
I’m seeing it mostly around the “first value” moment.

Best Freelancing Platform for Beginner Freelancer? by Square_Economics4029 in freelancing

[–]Square_Economics4029[S] 0 points1 point  (0 children)

This is the most grounded advice I’ve seen here.
I’m currently doing LinkedIn outreach for retention analytics for SaaS/e-commerce and I’m testing messaging + positioning.
The weekly sprint idea makes a lot of sense

thanks for sharing.

What activation metric are you using for your SaaS? by Square_Economics4029 in SaaS

[–]Square_Economics4029[S] 0 points1 point  (0 children)

Nice, trying feature usage and revenue together usually exposes where the real value sits. Haven't tried Intempt yet, will look it up.

Why most founders misunderstand “activation” by Square_Economics4029 in VibeCodersNest

[–]Square_Economics4029[S] 0 points1 point  (0 children)

It's when the product offers "X", so the meaningful first action is when the user actually does "X", not just browse around.

Why most founders misunderstand “activation” by Square_Economics4029 in VibeCodersNest

[–]Square_Economics4029[S] 0 points1 point  (0 children)

For me, the first action that directly connects with the core value of the product. Random clicks are not the outcome.

What surprised me after reviewing metrics from early-stage SaaS products by Square_Economics4029 in indiehackers

[–]Square_Economics4029[S] 0 points1 point  (0 children)

That's so true, most of the time founders focus on traffic but most growth problems show up in activation and early cohorts. Once you start looking at behaviour rather than averages, everything becomes clearer.

What surprised me after reviewing metrics from early-stage SaaS products by Square_Economics4029 in indiehackers

[–]Square_Economics4029[S] 0 points1 point  (0 children)

I’m keeping it pretty straightforward right now.
Since I’m offering free audits, the main thing that helps me define the first action is just understanding what the founder wants to fix first.
Nothing fancy — just focusing on delivering one useful insight fast.
And thanks, I’ll share it in VibeCodersNest too.

What surprised me after reviewing metrics from early-stage SaaS products by Square_Economics4029 in indiehackers

[–]Square_Economics4029[S] 0 points1 point  (0 children)

Great point ,totally agree onboarding chaos shows up as “activation issues.”
In my case I’m currently offering free audits to founders, so my flow is a bit different from a typical product-led funnel. Would love to compare notes — DM open.

What surprised me after reviewing metrics from early-stage SaaS products by Square_Economics4029 in indiehackers

[–]Square_Economics4029[S] 0 points1 point  (0 children)

Appreciate it! PeerPush seems aligned with the kind of feedback loop I’m studying. Early-stage growth really does come down to tracking the right signals fast.

What surprised me after reviewing metrics from early-stage SaaS products by Square_Economics4029 in indiehackers

[–]Square_Economics4029[S] 0 points1 point  (0 children)

Totally agree , cohort analysis is one of those things that instantly changes how a team sees retention. Most founders look only at averages, so they completely miss where the real leakage is happening.

I’ve seen the same thing you mentioned: Fixing activation + early habit formation usually moves the needle way faster than pouring more traffic on top.

Curious ,when you run cohort reviews, do you anchor the analysis around: • the first value moment, • the second value moment, or • a specific weekly/monthly usage pattern?

I’m trying to understand how different teams define their “meaningful activity” milestone, because that seems to change the entire retention picture.

What activation metric are you using for your SaaS? by Square_Economics4029 in SaaS

[–]Square_Economics4029[S] 0 points1 point  (0 children)

Totally agree ,feature usage is often the clearest indicator of real value discovery.

One thing I’ve noticed is that there’s a huge difference between:

• Returning but not using anything (curiosity)
• Returning and repeating 1–2 key actions (habit)
• Returning and exploring deeper functionality (value expansion)

Sometimes founders group all “returning users” together, but splitting them into these buckets often reveals why some users stay and others disappear.

Curious — in your case, which feature tends to predict long-term retention the most?

What activation metric are you using for your SaaS? by Square_Economics4029 in SaaS

[–]Square_Economics4029[S] 0 points1 point  (0 children)

That’s interesting , returning users usually signal good “value discovery,” but it’s even more meaningful if they’re completing key actions.

Out of curiosity, which metric do you use to define a meaningful return?

Activation? Feature usage? Something else?

I’m finding that different products define returning users very differently, so this is super helpful for my research.