- The Product-Led Geek
- Posts
- 👓 How Navattic Overcame 3 Key Challenges To Layer on a PLG GTM
👓 How Navattic Overcame 3 Key Challenges To Layer on a PLG GTM
Welcome folks! 👋
This edition of The Product-Led Geek features returning guest authors Raman Khanna and Natalie Marcotullio from Navattic. It will take 8 minutes to read and you’ll learn:
How Navattic successfully transitioned from sales-led to PLG through a gradual, data-driven rollout strategy.
The three major challenges they faced and overcame during the transition.
How they improved their activation rate from 5% to 33% by implementing targeted product improvements based on user feedback.
Let’s go!

TOGETHER WITH ATTIO
Most CRMs were built for yesterday's businesses.
Attio is built for what's next.
Attio is an AI-native CRM built specifically for the next era of companies. It’s flexible, easily configures to your unique data structures, and adapts to any business model - taking you scale from seed stage to category leader.
With Attio, your powerful CRM builds itself in minutes through automatic data sync and enrichment.
Then unleash the full power of the platform - from AI-powered automations that handle even your most complex business processes, to our research agent that can help with prospecting and lead routing at scale.
Join industry leaders like Flatfile, Replicate, Modal and more.
Try the CRM that’s built for the future.
Please support our sponsors!

GEEK LINKS
3 interesting, amusing, or enlightening links
1. Raising capital in a tough market

GEEK OUT
At Navattic, we transitioned to PLG after being sales-led for 3 years. When we were first considering it, we heard from a lot of companies who had rushed into PLG with a "launch and see" mentality, only to hit major roadblocks.
We tried to learn from that. Instead of flipping the switch, we “turned the dial” and gradually increased traffic seeing our experience over several weeks. This helped us avoid some of the most common problems in our transition to PLG.
An incremental roll-out of freemium
Navattic helps marketing and sales teams create interactive product demos. Customers use them on their marketing site (Ramp, Fivetran, Vitally) and as a follow-up asset in the sales process.

Ben: How did you scale traffic during the rollout?
Natalie: We started with 5% of traffic seeing our free plan. We gradually increased that percentage over several weeks.
- Week 1 (7/15) - 5% of traffic
- Week 3 (8/5) - 15% of traffic
- Week 6 (8/26) - 30% of traffic
- Week 7 (9/3)- 50% of traffic
- Week 8 (9/10- 9/23) - 100% of traffic before public launch
Over ~9 weeks, we launched to 100% of traffic:

Every turn of the dial allowed us to solve major challenges before public launch including:
Challenge #1: Sales Resistance to PLG
Challenge #2: A product not ready for self-serve users
Challenge #3: Fear of cannibalization & monetization
By the time we were ready to launch freemium publicly we were ready with a tested playbook, a smoother onboarding flow, and data that helped us feel more confident on the bet.
Challenge #1: Sales Resistance to PLG
When we first pitched PLG, it took some convincing to get our Sales team on board. They were, rightfully so, worried that freemium leads replace demo requests.
Not to mention, it was a completely new way of selling that there was no existing playbook for.
By doing a gradual roll-out, we avoided overwhelming the sales team with a flood of PLG leads. They had breathing room to adapt, experiment, and build confidence without the pressure of immediate scale.
Building the playbook together
To ensure alignment, we ran regular check-ins with sales, treating them as partners in shaping the freemium motion. Together, we crafted a PQL playbook.

A few key elements of the playbook:
Lead routing - Using Default, we routed leads based on company size

Identifying key product signals - Using Koala we tracked signals like publishing a demo or visiting the billing page. Setting up these notifications helped sales prioritize leads showing clear buying intent.

Messaging - With the early PQLs it became clear that they preferred to explore the product independently before engaging with sales.
Our Head of Sales and Head of Marketing discussed this shift on their podcast:
Yes, again, they might not convert right away. That’s also been another big learning with freemium … I think it might extend our sales cycle a little bit … some of these deals are just gonna take some time because they need to build it and see value, and they don’t necessarily have someone, like, hand holding them along the way.
This shifted the team’s approach to be more consultative, positioning sales reps initially as problem solvers rather than deal closers.
This tactic was so effective that the sales team has even organized their own webinar series to help free-plan users get started.

By the time we scaled freemium to 100% of traffic, the sales team was ready. They had the tools to identify high-priority leads and had started to build confidence with closing PQLs.
Challenge #2: A product not ready for self-serve users
We knew that PLG relies on the product doing the heavy lifting. If users couldn’t activate quickly and see value, the model would fall apart.
Early in the rollout, we tracked how users interacted with the product. Our initial activation rate was a low ~5%.
With a slow roll-out we had the space (and the data) to make incremental improvements. With these early users entering the funnel, we could analyze their behavior in detail, identify points of friction, and rapidly iterate.
We worked in focused 2 week sprints, tackling one part of the onboarding and activation flow at a time.
For example, the core problem we heard from early users was that they weren’t anchored on their next step. They would spend a lot of time clicking between different pages or features without a clear sense of direction. This often meant they bounced right away.
So we created a more guided flow.
Along with templates and in-app set-up guides, we created a more hand-held onboarding where users entered their product URL, added captures, and were taken immediately to a demo builder to start creating a demo.

We also worked to make aha moments more visible.
We defined activation as publishing a demo in the product. We found that editing product captures (a critical step in building interactive demos) was 14x more likely to lead to activation, yet many users didn’t realize the feature existed.
Adding a clear "edit" button improved discoverability, leading to a +36% increase in edits and more demos published.

We made more iterations like these and spent time each week looking at the early users’ drop-off data and watching recordings to see where there may have been confusion.
User interviews - direct conversations with users gave us context around frustrations and what felt unclear.
Example: We heard in many interviews that users didn’t realize they could edit captures. This was a key feature tied to activation. This insight is part of what led us to make the “Edit” button more visible.
Session recordings - Watching how users interacted with the product highlighted friction points we couldn’t see in the numbers.
Example: We noticed users getting lost while trying to build their first demo. We also found that ~70% of our most successful users viewed the customer showcase and referenced it in building. This confirmed what we suspected - seeing good examples inspires users to take action. As a result, we introduced templates for common use cases.
Sales feedback - discussions with sales provided great insight into what users needed to feel confident upgrading.
Example: Sales reps frequently cited analytics as a reason users explored paid plans. Based on this feedback, we moved advanced analytics to paid plans, ensuring it remained a strong motivator for upgrading.
Drop-off data - we looked at moments in the activation funnel where there was high drop-off
Example: users who installed our Chrome Extension activated better but it was a friction moment with large drop-off. We placed it behind a blurred screen. This made it feel more purposeful (and like a gateway to the product). We also added our own Navattic interactive demos into the flow. Users could experience the value of key features firsthand instead of reading about it.

Ben: How did you think about testing during this phase?
Raman: We chose to implement these improvements directly rather than A/B test them. The early user cohort wasn’t large enough to produce statistically significant results, and waiting for conclusive data would have slowed us down.
More importantly, session recordings, user interviews, and drop-off data gave us a clear signal on what needed fixing. Rather than optimize incrementally, we focused on removing obvious friction points as quickly as possible.
By the time we scaled freemium to 100%, we had improved activation from ~5% to ~33% and conversion from ~1% to ~5%.

Challenge #3: Fear of cannibalization & monetization
Our leadership team was worried about cannibalization. We knew that freemium could be a double edged sword. While it would open the door to new users, it also could risk existing customers downgrading.
But incrementally rolling out freemium allowed us to monitor its impact on ARR in real-time — and use that to reassure our leadership team.
We watched closely for signs of cannibalization to see if existing customers were downgrading.
In the first few weeks, there was minimal revenue impact with only 1 downgrade.
By the time freemium launched fully, the leadership team was bought in that it would complement, not cannibalize, our core business.
The progress felt slow, but it was deliberate
Launching freemium in phases required patience. Watching small pockets of users engage with the free plan didn’t feel transformative at first but was important to making sure each step forward was solid.

By the time freemium was live for everyone, we had:
A playbook for sales reps to handle PQLs confidently
A first user experience that went from ~5% to ~33% activation
Leadership alignment around freemium
The result was a more seamless transition to PLG without (as much) of the chaos that sometimes accompanies it.
An incremental rollout helped us see real data. We used this data to adapt what our strategy was and help make our leadership team feel more comfortable about a big bet we were taking.
Freemium is live, and we are now focused on optimizing our acquisition, activation, and monetization.
For example,
New entry points on our website to freemium
New ways to guide users to their first aha moment faster like better incorporating pre-made templates
New tactics to upgrade free users like offering trials of paid features
Ben: Did you consider implementing a reverse trial?
Raman: We definitely considered a reverse trial early on. it was compelling because it gave users the full experience and pushed a decision. We opted to start simple. Our priority was validating demand for a free tier, measuring activation, and tracking conversions. We wanted to be cautious because a reverse trial adds upfront friction, making users think about losing features rather than just getting started. Now that we have more data and more conviction in our free tier, we’re currently revisiting the idea of reverse trials.

THAT’S A WRAP
Before you go, here are 3 ways I can help:
Take the FREE Learning Velocity Index assessment - Discover how your team's ability to learn and leverage learnings stacks up in the product-led world. Takes 2 minutes and you get free advice.
Book a free 1:1 consultation call with me - I keep a handful of slots open each week for founders and product growth leaders to explore working together and get some free advice along the way. Book a call.
Sponsor this newsletter - Reach over 7600 founders, leaders and operators working in product and growth at some of the world’s best tech companies including Paypal, Adobe, Canva, Miro, Amplitude, Google, Meta, Tailscale, Twilio and Salesforce.
That’s all for today,
If there are any product, growth or leadership topics that you’d like me to write about, just hit reply to this email or leave a comment and let me know!
And if you enjoyed this post, consider upgrading to a VIG Membership to get the full Product-Led Geek experience and access to every post in the archive including all guides.
Until next time!

— Ben
RATE THIS POST (1 CLICK - DON'T BE SHY!)Your feedback helps me improve my content |
PS: Thanks again to our sponsor: Attio
Reply