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The Good are trusted conversion experts who grow online sales and conversions through data-backed website design and user experience testing.

92% of SaaS leaders say they have strong visibility into their first 30 days of onboarding. Only 24% actually track wher...
09/03/2026

92% of SaaS leaders say they have strong visibility into their first 30 days of onboarding. Only 24% actually track where users drop off.

We surveyed 161 SaaS product, growth, marketing, and UX leaders and found the same pattern four times over: high confidence sitting on top of a structure nobody has recently stress-tested. Teams know their outcome metrics cold (trial-to-paid, retention, feature adoption) but can't say where or why users actually disappear.

We're calling it the confidence trap, and there's a decent chance your team is in it on at least one front. Here's the audit:

When The First 30 Days Aren’t As Under Control As You Think.

We surveyed 161 SaaS leaders across product, growth, marketing, tech, UX/research, and founding roles about how they run...
08/27/2026

We surveyed 161 SaaS leaders across product, growth, marketing, tech, UX/research, and founding roles about how they run the first 30 days of the user experience.

The headline finding: teams are more confident than their own data can support.

92% say they're satisfied with their visibility into the first 30 days. 9 in 10 say they can identify where users are likely to abandon. On paper, that's a strong picture.

In practice, only 24% track drop-off points in onboarding. Only 24% track NPS or CSAT from new users. Most teams are measuring outcomes, conversion, retention, feature adoption, at 50%+ tracking rates. Far fewer are measuring the friction that explains why those numbers move.

As one UX/research leader in the survey put it: "We track the metrics and drop-off points well, but our biggest blind spot is the qualitative why behind abandonment."

That gap, between what teams believe and what their numbers actually show, is the through line of our findings.

Download the full report, "The First 30 Days of the Product Experience":

What SaaS leaders get right, and miss, in the most critical window of the user journey.

A cluster of users plateaus fast. Another takes two weeks to ramp up but sticks around for months.Look at aggregate rete...
08/25/2026

A cluster of users plateaus fast. Another takes two weeks to ramp up but sticks around for months.

Look at aggregate retention data and this just looks like inconsistent engagement. Look at intent clusters and it's obvious: one group found exactly what they needed and stopped exploring. The other needed time to build the product into their workflow before it paid off.

Neither pattern shows up if you're treating your trial cohort as a single audience.

Our latest article walks through how to identify these clusters from first-session behavior, the specific signals worth tracking (navigation paths, feature co-occurrence, time-to-first-meaningful-action, 72-hour return behavior), and how to turn them into onboarding decisions that actually respond to user intent.

Full piece:

Learn how to identify, understand, and build an onboarding experience for the users who matter most.

In product-led growth, the product sells itself. Free trials, frictionless onboarding, viral expansion mechanics. The st...
08/19/2026

In product-led growth, the product sells itself. Free trials, frictionless onboarding, viral expansion mechanics. The strategy is proven. Canva, Zoom, Slack, and Dropbox have all used their products as their primary growth engine, and the SaaS world has largely followed their lead.

But having a product-led strategy is not the same as having a product that actually leads growth. The strategy gets you to the door. What happens inside, in those first thirty days, determines whether users walk through it or walk away.

This article is about The First 30. The period from initial sign-up through habit formation, activation, and the conversion moment itself. In a product-led model, this window is not one phase of the sales process. It is the sales process. And it deserves the same rigor you would give any high-stakes sales cycle.

The first thirty days are your sales team in product led growth.

Most PLG teams ship an onboarding flow, then move on. That's the problem.The First 30, the window from sign-up to conver...
08/17/2026

Most PLG teams ship an onboarding flow, then move on. That's the problem.

The First 30, the window from sign-up to conversion, gets treated as a launch problem instead of an ongoing one. But user behavior shifts, the product evolves, and what worked at launch quietly stops working. Add in the fact that registration, onboarding, and early product experience are usually owned by three different teams, and it's easy to see why so much gets optimized in silos instead of as a single journey.

The teams that avoid this run continuous research instead of post-launch check-ins, and test before they ship rather than launching and hoping.

We wrote about why time-to-value is the number with the clearest line to retention, and the four principles (slow-drip information, quick wins, intent-based onboarding, clear step-by-step guidance) that consistently move it.

Full article:

The first thirty days are your sales team in product led growth.

In product-led growth, the first thirty days of the user experience are your relationship-building sales team.
08/13/2026

In product-led growth, the first thirty days of the user experience are your relationship-building sales team.

The first thirty days are your sales team in product led growth.

90% of users churn if they don't understand a product's value within their first week.That stat should change how you th...
08/11/2026

90% of users churn if they don't understand a product's value within their first week.

That stat should change how you think about trial design. Your trial model isn't just a growth lever, it's the architecture your entire onboarding experience sits on top of. Get it wrong, and even great activation work can't save you.

In this article, we compare free trial, freemium, and reverse trial models, the psychology behind each, and how to use verb scoring to see what your market has already trained users to expect before you pick one.

If your free-to-paid conversion has been underperforming, the issue might not be your pricing page. It might be the model underneath it.

Full article:

We share our tips for choosing the right one for your product and goals.

We asked 161 SaaS leaders how they run the first 30 days: what they measure, who owns it, how they talk to new users.The...
08/07/2026

We asked 161 SaaS leaders how they run the first 30 days: what they measure, who owns it, how they talk to new users.

The result: genuine investment, paired with real blind spots.

Read "The First 30 Days of the Product Experience":

What SaaS leaders get right, and miss, in the most critical window of the user journey.

"How many of your trial users convert?" is the wrong question.The better one: what were they actually trying to accompli...
08/05/2026

"How many of your trial users convert?" is the wrong question.

The better one: what were they actually trying to accomplish when they signed up?

Most SaaS teams segment by job title, company size, or acquisition channel. None of that tells you what a user showed up hoping to get done. And in a trial window, where 90% of users churn if they don't find value in week one, that gap is expensive.

In our work building intent-based clusters for an enterprise SaaS company, we found that heavy feature usage, the metric the team had been watching, didn't predict retention at all. What mattered was whether the features a user engaged with actually matched what they were trying to do.

We broke down how to find those intent clusters using first-session behavior, validate them through research, and turn them into differentiated onboarding, before your trial window closes.

Read it here:

Learn how to identify, understand, and build an onboarding experience for the users who matter most.

Free trial. Freemium. Reverse trial.Most SaaS teams pick one based on what competitors do, or what feels "standard." But...
07/31/2026

Free trial. Freemium. Reverse trial.

Most SaaS teams pick one based on what competitors do, or what feels "standard." But each model creates a completely different psychological experience in the first 30 days, and choosing wrong doesn't just cost you conversions. It can quietly work against your retention.

Free trials run on loss aversion. Freemium runs on the endowment effect. Reverse trials flip the frame entirely, starting users at the top and making the downgrade the moment that matters.

We broke down when each model works, when it fails, and the questions worth asking before you commit to one (time-to-value, the size of your free/paid gap, and who's actually doing the evaluating).

Read the full breakdown:

We share our tips for choosing the right one for your product and goals.

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