85% of visitors leave our pricing page without buying. sharing our raw funnel data

This is actually a great breakdown thanks for sharing real numbers, not just conclusions.

14.6% from pricing to signup doesn’t look bad at first, but yeah… flipping it to 85% drop-off really changes how you see it.

What stood out to me is the docs funnel. 60% conversion (even on small traffic) usually means those users already understand the value before they see pricing. Maybe the issue isn’t just pricing itself, but that people hitting it from the homepage aren’t fully “sold” yet.

Curious if you’ve tested:

adding clearer value props above the pricing table
or showing a quick “how it works” / use cases before pricing

Also +1 on simplifying analytics. GA4 is honestly overkill for most early-stage founders.

Respect for sharing this openly super useful for anyone building SaaS.

Thanks for sharing the actual numbers — this kind of transparency is rare and super valuable. The contrast between your two funnels tells a powerful story. The 60% conversion from docs visitors versus 14.6% from pricing page visitors is a classic intent gap. People who land on docs have already decided they want to use something like your product and are evaluating whether it fits their technical needs. People who land on pricing are still in the consideration phase and might not even understand the value yet. One experiment worth trying: instead of just simplifying the pricing page layout, consider adding an interactive element that lets visitors see their own data before committing. Something like a mini calculator showing estimated insights based on their traffic volume, or a live demo funnel with sample data. The goal is to move the pricing page visitor closer to the intent level of a docs visitor by giving them a taste of the outcome before asking for the commitment. Also, have you looked at where your pricing page traffic is coming from? If most of it is cold traffic from ads or SEO, the 85% drop-off might actually be normal for that traffic temperature. The docs traffic is likely much warmer by nature.

14.6% from pricing to signup is actually not bad — a lot of SaaS products would take that. The more interesting number is the docs funnel (80 visitors to signup). That's a much higher intent audience and presumably converts at a completely different rate. What does that conversion look like?

Pricing page drop-off is usually about three things: wrong audience, unclear value differentiation between plans, or friction in the CTA. What did the funnel data tell you about where exactly people are bouncing? Pricing section to "I need to think about this" vs pricing section to signup flow abandonment are very different problems.

One thing I'd look at: are visitors arriving at the pricing page with enough context to understand what they're paying for? If they land from an ad or a cold link, 85% bounce is almost expected. The fix isn't always on the pricing page itself — it's in the journey before it. What does the flow look like before someone hits pricing?

the 60% conversion from docs is the most interesting number here honestly. that tells you something really important — people who take the time to read docs are already sold on the concept, they just want to make sure it actually works. the pricing page visitors are still in "should i even bother" mode. i wonder if adding a link to the docs or a quick interactive demo directly on the pricing page would help bridge that gap. like if someone could see how simple the setup is before committing, you might capture some of that high-intent energy from the docs crowd. appreciate you sharing the raw numbers, this kind of transparency is super helpful for other founders trying to figure out their own funnels

Hey Zenovay,
Thanks for sharing the raw numbers — 85% drop-off on pricing is brutal but super honest. The contrast between homepage traffic and docs traffic is very interesting.
Good luck with the new pricing layout test.
Would love to try Zenovay if you're still offering free Pro access for feedback.

The pricing page drop-off makes sense when you realize most visitors are in 'comparison mode' — they've just come from a competitor's pricing page and are benchmarking. What I found helpful: knowing when competitors change their pricing, because that often correlates with your own conversion rate changes. If a competitor lowers their price, suddenly your pricing page becomes harder to justify without context.

This is exactly why competing in the US/English market is so brutal right now. You're fighting tooth and nail for that 15% conversion rate against massive competitors.

What completely changed the game for me was realizing you don't have to fight that battle. Most of us burn 6 months inventing new apps or optimizing pricing pages for a saturated market.

The real cheat code right now is App Store Geo-Arbitrage.
Find a US app making $10k/mo that only supports English. Scrape the local reviews (French, German, Spanish) to prove demand. You will literally see users begging to pay if it was translated. Then, build the localized clone. Your conversion rate skyrockets because you have zero local competition.

I automated the research part and wrote a full playbook. Since IH doesn't let me post links yet, just search for "Data Scraping Strategy: Finding Underserved App Store" on Devto, or check my Twitter @KazKN. I open-sourced the scraper there.

Don't fight for scraps in English if it gets too tough!

The pricing page drop-off is exactly what I'm dealing with right now. I launched a digital product last week - 130K views across Reddit, 44 Gumroad visits, single digit sales. The traffic isn't the problem, the conversion is. Your docs funnel insight is interesting - 60% conversion from people who read docs means high-intent visitors convert regardless of page design. The pricing page visitors are still in 'browsing' mode. I'm testing adding product screenshots and social proof to my listing right now to see if that moves the needle. Would be curious what changes you see after the simplified layout test

Really interesting breakdown — thanks for sharing the raw numbers! That jump from 14.6% on the pricing page to 60% on the docs-to-signup funnel really illustrates how much context and intent matter. It’s easy to assume a page is “fine” until you actually dig in.

I love how you framed this as solving your own problem first — tired of GA4 complexity and just wanting clear insight. That’s something I’ve run into too, trying to figure out why signups stalled, only to realize the tools themselves were part of the headache.

Curious — when you simplified the pricing layout, did you notice any patterns in which social proof elements worked best? Testimonials, numbers, logos, or something else?

The 1753 signups vs fewer than 20 active users is the number I'd focus on before touching the pricing page. That's roughly a 1% activation rate. If people sign up and don't activate, redesigning the page to get more signups just moves the bottleneck downstream. What does your onboarding look like between signup and first meaningful action? That gap is usually where the real conversion problem lives.

the docs->signup 60% number is the real story here. anyone who lands on docs is already self-selecting as high intent. we had the same pattern - pricing page is where tire-kickers fall off, docs is where buyers show up. maybe lean into sending traffic straight to a "how it works" technical page instead of pricing first?

The docs-to-signup funnel at 60% is the real signal hiding inside the 14.6% headline. Small volume, high intent, that's not a traffic problem, it's a qualification problem. The pricing page doesn't kill conversion. It just reveals which visitors were never buyers to begin with.

1753 signups last month with fewer than 20 active users. that gap is the real number to fix. what does your signup-to-activated look like, and how are you defining activated?

Something a little bit tangential to your op. How do you know your landing page is working? Are you experimenting with copy, layout etc? Your conversion rates aren’t anything to be scoffed at. If you only have 20 users and seeing a 14% conversion rate that’s a great start. I own a small start up and we have only 4% click through to free trial and then even less to paid users.

This is an area we are actively working on to fix the funnel. Currently we are using post hog for analytics.

14.6% pricing-to-signup is actually not bad depending on your traffic source and price point — the real question is what's killing the other 85%. A few things worth testing: adding a free trial CTA on the pricing page itself, an exit-intent prompt with a lower-commitment offer, and a single line of social proof right above the buy button. The drop from homepage to pricing (49%) is also worth attention — that might be a positioning problem more than a pricing one.

The docs vs. homepage conversion gap is the real signal here. Docs visitors already know they have the problem — pricing is just confirmation. Cold homepage traffic is a completely different population.

For Scoutivex (B2C SaaS for Vinted resellers), our biggest single-step lift on trial signup had nothing to do with pricing copy or plan structure. It was removing a mandatory phone verification step from the trial flow that we'd added "for fraud prevention." Turned out it was blocking ~30% of people mid-funnel who didn't have their phone handy or didn't want to give it. Removed it, made it optional in settings. Trial starts went up immediately.

The lesson: before testing what's on the pricing page, audit what happens after they click the CTA. Friction post-click kills conversion just as badly as a confusing pricing table pre-click.

That docs conversion is the interesting part.

Feels like it’s less about pricing being “bad” and more about intent. People hitting docs already know what they’re looking for, so pricing is just confirmation. Homepage traffic is much colder.

We’ve seen something similar where the biggest lift didn’t come from changing pricing, but from filtering who actually reaches it.

One thing that helped was tightening the messaging before pricing so fewer low-intent users got there in the first place.

Are you testing anything upstream of the pricing page, or focusing mainly on the page itself?

The docs to signup funnel at 60% vs pricing to signup at 14.6% tells you something important. People who read the docs already understand the product. People who land on pricing are still deciding if they understand it.
That gap usually means the pricing page is being asked to do two jobs at once: explain the product and close the sale. Most visitors arriving at pricing have not had their core question answered yet, which is "is this actually for me."
The 85% drop makes more sense when you think about it that way. It is probably not the layout or the price. It is that most of those 11,980 people were not ready to make a decision yet because they did not have enough context.
One thing worth testing before redesigning the page: look at where those 11,980 people came from right before hitting pricing. If most of them skipped the feature pages or came straight from an ad, the problem is the journey, not the destination. Adding a short "who this is for" section above the pricing tiers might do more than social proof.
The docs funnel converting at 60% is a strong signal. It means your product sells itself once people understand it. The challenge is getting more people to that level of understanding before they see a price.