Sales & Conversion

How I Learned That Better Product Onboarding Sometimes Means Making Sign-up Harder (Real Client Case)


Personas

SaaS & Startup

Time to ROI

Short-term (< 3 months)

OK, so you're probably reading this because you're drowning in trial signups but starving for paying customers. Sound familiar? Last year, I was brought in as a freelance consultant for a B2B SaaS that was celebrating their "success" - tons of new users daily, aggressive CTAs driving signup numbers up. But here's the thing - most users were using the product for exactly one day, then vanishing.

The marketing team was high-fiving about their conversion rates while the founder was panicking about revenue. You know what the real problem was? They were optimizing for the wrong metric entirely.

What I discovered next goes against everything you've been told about reducing friction in your signup flow. Sometimes, the best onboarding strategy is to prevent the wrong people from signing up in the first place. And yes, that might mean requiring a credit card upfront.

Here's what you'll learn from my real client experience:

  • Why "no credit card required" might be killing your conversions

  • The counterintuitive approach that actually improved trial-to-paid rates

  • When to add friction vs. when to remove it

  • Real metrics from implementing credit card requirements

  • How to present credit card requirements without scaring qualified prospects

Ready to challenge what you think you know about SaaS onboarding? Let's dive into what actually worked.

Industry Reality

What every SaaS founder has already heard

If you've spent any time in SaaS founder communities or read growth blogs, you've heard the same advice repeated like gospel: "Remove all friction from your signup process." The conventional wisdom sounds logical enough:

  1. No credit card required - because asking for payment info "creates friction"

  2. Minimal form fields - just email and password to get started

  3. Instant access - get users into the product immediately

  4. Optimize for volume - more signups = more potential customers

  5. Nurture later - figure out qualification after they're in

Every growth hacking guide, every SaaS playbook, every "expert" on LinkedIn preaches this same formula. The logic seems sound: lower the barrier to entry, get more people to try your product, then convince them to pay later.

This approach exists because it works for certain types of products - consumer apps, simple tools, or products with immediate "aha moments." When Slack or Spotify removes signup friction, it makes sense because their value is immediately obvious.

But here's where this conventional wisdom falls apart: it assumes all signups are created equal. It treats user acquisition like e-commerce conversion optimization, where any visitor clicking "buy" is valuable. In B2B SaaS, especially for complex products, this couldn't be further from the truth.

The result? You end up with what I call "zombie trials" - accounts that look good in your analytics dashboard but contribute nothing to your revenue. Worse, they actually hurt your business by skewing your data and consuming support resources.

Who am I

Consider me as your business complice.

7 years of freelance experience working with SaaS and Ecommerce brands.

When I started working with this B2B SaaS client, their metrics told a frustrating story that I've seen countless times. They were getting lots of signups daily - the marketing team was celebrating their "success" with aggressive CTAs and paid ads driving signup numbers up.

But here's what was actually happening: most users were using the product for exactly one day, then abandoning it. Almost no conversions after the free trial. The client was essentially paying to acquire users who would never become customers.

Like most product consultants, I started with the obvious solution: improve the onboarding experience. We built an interactive product tour, simplified the UX, reduced friction points. The engagement improved a bit - nothing crazy. The core problem remained untouched.

After digging deeper into their user behavior data, I noticed a critical pattern that changed everything. Cold users - those coming from ads and SEO - typically used the service only on their first day, then abandoned it. Meanwhile, the few users who came through warm channels showed much stronger engagement patterns.

That's when it clicked: we were treating SaaS like an e-commerce product when it's actually a trust-based service. You're not selling a one-time purchase; you're asking someone to integrate your solution into their daily workflow. They need to trust you enough not just to sign up, but to stick around long enough to experience that "WoW effect."

The marketing team was incentivizing signups at any cost - literally. They were bringing in unqualified users who would never convert, but it looked good in the weekly reports. Meanwhile, customer success was drowning in support tickets from confused users who didn't understand the product.

Most importantly, I realized we were optimizing for the wrong metrics. High signup numbers meant nothing if those users weren't converting. In fact, they were actively hurting the business by consuming resources and skewing our understanding of what actually worked.

My experiments

Here's my playbook

What I ended up doing and the results.

After analyzing the data and user patterns, I proposed something that made my client almost fire me: make signup harder. Instead of removing friction, I suggested we add intentional barriers to filter out unqualified prospects.

Here's exactly what we implemented:

Credit Card Requirement Upfront
We added credit card requirements before users could access the trial. Yes, this was scary. Yes, signups dropped significantly initially. But this single change filtered out tire-kickers immediately. Only people serious about potentially paying would provide payment information.

Extended Qualifying Questions

We lengthened the onboarding flow with specific questions about:

- Company size and type

- Current solutions they're using

- Specific use cases they're trying to solve

- Timeline for implementation

- Budget range


This wasn't just data collection - it was qualification. Each question served as a small commitment that helped us understand if they were a good fit.

Multiple-Step Onboarding Process

Instead of instant access, we created a multi-step process:

1. Contact information and company details

2. Credit card for trial activation

3. Qualifying questionnaire

4. Product setup with specific use case

5. Guided first experience


Each step required a small commitment, building investment gradually. Users who completed all steps were significantly more likely to become paying customers.

Value-First Messaging

We reframed the credit card requirement not as friction, but as value. The messaging focused on:

- "Unlock your personalized trial experience"

- "We'll set up your account specifically for [their use case]"

- "Start your risk-free trial with full feature access"


The key was positioning the requirement as getting something better, not just paying for access.

Segmented Trial Experiences

Based on the qualifying information, we created different trial tracks:

- Enterprise prospects got dedicated onboarding calls

- SMB users got automated email sequences with relevant use cases

- Technical users got API access and developer resources


This meant every trial user got a relevant experience, dramatically improving engagement and conversion rates.

Quality Over Quantity

Signups dropped but conversion rates doubled. We finally had engaged users who actually used the product regularly.

Credit Card Filtering

Payment requirement became our best qualification tool. Only serious prospects willing to potentially pay would complete signup.

Department Alignment

Marketing stopped optimizing for vanity metrics. Everyone focused on qualified leads instead of raw signup numbers.

Support Relief

Higher-quality trials meant fewer confused users and support tickets. Team could focus on helping real prospects.

The results spoke for themselves, though they weren't what most people expected:

Signups dropped significantly - about 60% fewer trial registrations in the first month. My client was nervous, but I assured them this was exactly what we wanted. We weren't losing potential customers; we were finally seeing our real market.

Trial engagement increased dramatically - users who completed the new signup process showed 3x higher product usage during their trial period. They were actually using features, not just logging in once and disappearing.

Trial-to-paid conversion doubled - this was the metric that mattered. Even with fewer signups, we were converting more paying customers than before. The revenue impact was immediate and significant.

Support tickets decreased - qualified users needed less hand-holding. They understood what they were signing up for and came prepared with real use cases. Customer success could focus on helping prospects succeed rather than explaining basics.

Sales cycle shortened - prospects who made it through the new process were already pre-qualified and motivated. Sales conversations focused on implementation rather than education about the product's value.

The most surprising result? Our best customers started coming through this "harder" signup process. The additional commitment actually attracted more serious prospects while repelling tire-kickers.

Learnings

What I've learned and the mistakes I've made.

Sharing so you don't make them.

This experience taught me several crucial lessons that challenged everything I thought I knew about SaaS growth:

  1. Stop optimizing for departmental KPIs - Marketing optimizes for signups, product optimizes for activation, sales optimizes for conversions. But nobody optimizes for the entire pipeline. When you incentivize marketing to maximize signups at any cost, you get exactly that.

  2. Intentional friction can improve conversions - Not all friction is bad. The right friction filters out unqualified prospects and attracts serious buyers. Sometimes the best onboarding strategy is preventing the wrong people from signing up.

  3. Credit cards are qualification tools - Requiring payment information upfront isn't just about billing - it's about commitment. People willing to provide credit card details are fundamentally different prospects than those who aren't.

  4. Vanity metrics kill businesses - High signup numbers feel good but mean nothing if they don't convert. Focus on qualified leads, not raw volume. Better to have 100 qualified trials than 1000 tire-kickers.

  5. Qualification happens before onboarding - Most companies try to qualify after someone signs up. By then it's too late. The signup process itself should be your first qualification filter.

  6. Context matters more than best practices - What works for Slack doesn't work for enterprise software. What works for consumer apps doesn't work for B2B tools. Your signup process should match your customer's buying journey.

  7. Team alignment beats individual optimization - When marketing, product, and sales optimize for the same outcomes (qualified customers), everything improves. When they optimize for different metrics, everything breaks.

How you can adapt this to your Business

My playbook, condensed for your use case.

For your SaaS / Startup

For SaaS startups, consider requiring credit cards when:

  • Your product requires significant setup or integration

  • You're targeting enterprise or serious business customers

  • Support costs for unqualified trials are high

  • Your sales team spends time qualifying every trial

For your Ecommerce store

For ecommerce, apply this thinking to:

  • Wholesale or B2B customer registration requiring approval

  • Premium membership tiers with application processes

  • High-value product consultations requiring deposits

  • Custom order processes for qualified buyers only

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