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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.

Most teams optimize for a satisfied customer. Rob Snyder, author of "The Power of Pull," says that's the wrong target.Th...
10/28/2026

Most teams optimize for a satisfied customer. Rob Snyder, author of "The Power of Pull," says that's the wrong target.

The real prize, he argues, is a "hell yes" customer, someone who buys as if your product is irresistible and uses it as if it's addictive. Chase anything less than that, and you end up doing all the work yourself, overselling, overbuilding, and trying to convince people who were never that motivated to begin with.

In our interview, Snyder breaks down how to spot real demand in a live conversation. The tell isn't praise. It's when the prospect starts asking you questions, because they're actively testing your product against a problem they're trying to solve right now.

He also points to a sharper signal than anything someone will tell you in an interview, whether they've already tried and failed to solve the problem themselves. A failed DIY attempt means the problem has crossed the line from mild annoyance to something urgent enough to act on, and that beats any amount of polite interest.

Here's what we found:

The author of The Power of Pull shares what he thinks most teams get wrong when it comes to customer demand.

One trial dashboard looked identical on day 28 as it had on day 1. Another sat at a zero-state for 21 straight days.If y...
10/26/2026

One trial dashboard looked identical on day 28 as it had on day 1. Another sat at a zero-state for 21 straight days.

If your product needs the user's own data before it can show any value, and you leave that setup work entirely on them, most people will decide it's not worth their time before they ever see what you built.

Our study covers ten patterns that showed up often enough to be worth naming.

Read the complete breakdown here:

We're sharing our findings after trialing 30 different SaaS tools for 30 days.

Trial users don’t make one decision about your pricing page. They make several, checking back three, four, even five tim...
10/25/2026

Trial users don’t make one decision about your pricing page. They make several, checking back three, four, even five times over their first 30 days.

They come back when they’re comparing you to competitors, again when a seat limit or feature gate stops them mid-task, and once more when the trial clock is running out. Each visit is asking a different question, and a page written only for the first one leaves the other two unanswered.

We share how to structure, price, and time that page so each visit moves them closer to converting instead of further away.

Read the full breakdown:

Learn how to structure your pricing page to move users closer to converting.

Should your SaaS even call it "credits" at all?It may come down to how sophisticated your buyers already are. In our rev...
10/22/2026

Should your SaaS even call it "credits" at all?

It may come down to how sophisticated your buyers already are. In our review of some of the top AI products, we found that certain tools never mention credits or tokens when selling their plans, while others lead with "credits" on every pricing tier.

For a prosumer audience that already thinks in units, burying the currency can feel evasive rather than reassuring.

Naming is just one of seven patterns we identified in our AI credit best practices evaluation.

Get the full breakdown:

What your SaaS can borrow from the top AI Tools

More onboarding questions don't create more personalization. And it often creates more friction.We reviewed the first 30...
10/20/2026

More onboarding questions don't create more personalization. And it often creates more friction.

We reviewed the first 30 days of the trial experience across 30 SaaS products. Only about a quarter showed survey answers visibly changing what the user saw next. The rest asked comparable, sometimes longer, questions and served up the same generic dashboard regardless of the answers.

The ones that got it right weren't asking more. They showed the payoff right away, inferred what they could instead of asking, and held pricing and sales prompts until after the user reached real value.

Get the full breakdown here:

We break down what successful SaaS products are doing to get it right.

The best AI products don't just charge for usage. They make the constraint feel fair. We studied how some of the top too...
10/17/2026

The best AI products don't just charge for usage. They make the constraint feel fair. We studied how some of the top tools name, price, and message their usage limits.

The findings? Seven patterns kept showing up, and together they show what your SaaS can borrow when an AI feature comes with a cap.

Get our full breakdown:

What your SaaS can borrow from the top AI Tools

Can you name who owns the day-12 email in your onboarding flow? Not the strategy doc. The actual send.95% of the SaaS le...
10/14/2026

Can you name who owns the day-12 email in your onboarding flow? Not the strategy doc. The actual send.

95% of the SaaS leaders we surveyed say Marketing and Product are well-aligned on the first 30 days. But only 9% report complete, seamless ownership across that window and 39% say a significant portion of it is nobody's job. Agreeing on the goal and owning the touchpoints that get you there turned out to be two very different things.

Here's where the gaps tend to hide:

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

Pain points don't create customers.Rob Snyder, author of "The Power of Pull" and a Harvard Innovation Labs fellow, makes...
10/12/2026

Pain points don't create customers.

Rob Snyder, author of "The Power of Pull" and a Harvard Innovation Labs fellow, makes the case that most product teams are chasing the wrong signal. People live with annoying problems they never act on, so pain alone doesn't drive purchasing.

What actually moves someone to buy is a problem landing at the top of their mental to-do list, usually because something forced it there.

We sat down with Snyder to unpack his framework for spotting real demand versus polite interest, and why it applies just as much to mature SaaS teams prioritizing a roadmap as it does to first-time founders.

Read the full interview:

The author of The Power of Pull shares what he thinks most teams get wrong when it comes to customer demand.

What do you cut when you're finally building mobile for a product that's lived on desktop for years?If you’re Kyle Phill...
10/09/2026

What do you cut when you're finally building mobile for a product that's lived on desktop for years?

If you’re Kyle Phillips, Ninety’s CPO, you decide to skip feature parity, skip native development, and ship a deliberately incomplete beta.

His team scoped the first version around jobs to be done on the go, deliberately leaving out features that felt standard on desktop until real usage showed they were actually needed.

They also favored a cross-platform framework, betting speed and a familiar interface mattered more than a fully native build.

The results: 30,000 users and a top 100 App Store ranking within 30 days, and feedback that skewed toward feature requests rather than usability complaints.

Read the full breakdown:

They decided to ship a deliberately incomplete beta, and customers loved it.

What's one of the most common mistakes in SaaS free trial design? It's not a dramatic failure; it's a survey nobody uses...
10/06/2026

What's one of the most common mistakes in SaaS free trial design? It's not a dramatic failure; it's a survey nobody uses.

Across the 30 tools we analyzed over 30-day trials, a majority asked new users about their role, use case, or team size at signup and then changed nothing downstream based on the answer. It's a low-stakes mistake individually, but it adds up to a lot of wasted first impressions.

And on the other end of the trial: how a product handles cancellation says as much as how it handles signup.

Get all ten patterns we mapped from real trial data (not benchmark reports) in the full article:

We're sharing our findings after trialing 30 different SaaS tools for 30 days.

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