Beducated
Beducated is one of the web's largest pleasure-based sex-education platforms — 150+ courses on intimacy and technique, for individuals and couples.
beducated.com
The challenge
Beducated is one of the web's largest pleasure-based sex-education platforms — 150+ courses on intimacy and technique, for individuals and couples. It was already growing fast on ads and wanted to spend more — but more spend only pays off when each subscriber is worth enough relative to what they cost to acquire. The whole question came down to one screen: a single paywall, one set of plans, serving two very different traffic sources.
One paywall, two opposite mindsets.
Cold visitors from Meta ads arrive with no price in mind; warm visitors from organic and creator channels arrive already set on a plan. The same screen served both, so what helped one often hurt the other — and with results reported blended, that was easy to miss: a change could look flat overall while winning one source and losing the other.
Most buyers picked the lowest-value plans.
The plan best for the business over time was the one users tended to skip.
Client feedback
What stood out most was how rigorously Applica worked while keeping everything easy for us to follow. They turned what we knew about our users into solid tests that showed us things about them we hadn't seen before. Revenue per user rose 47% on Meta and 27% on organic. Through all of it, the team was really pleasant to work with.
Phil Steinweber
Co-founder & CEO at Beducated
What we did
We started by auditing the web funnel end to end. The lost revenue concentrated in how the plans were presented and chosen — the paywall, the lineup of plans, and the screens around that choice — so that's where the program focused: more than a dozen A/B tests over about four months, each run against Meta and organic separately and shipped per source. Every change was built and launched on Zellify, our web funnel partner, which let us design and test each variation quickly. Not every test won; the wins below are the ones that held.
The core lever throughout was the subscription plan lineup itself — which plans appear, how they're priced, how they're framed. Because the two sources arrive in opposite mindsets, one setup couldn't serve both, so the same paywall now carries a different lineup for each.
1. Reworked the Meta paywall — the headline win
For cold Meta traffic, we restructured the paywall so the highest-value plan became the clear, low-friction default, and the surrounding screen worked to take the fear out of committing. Tested head-to-head against the existing paywall, this lifted Meta revenue per user by 47%, with the share of buyers on the annual plan rising sharply and conversion holding flat — the gain came from a shift in plan mix, not from squeezing out more sign-ups. A second Meta paywall experiment softened the call to action, swapping "Subscribe Now" for "Start Learning." It lifted Meta revenue per user by 20%, drawing in roughly a third more sign-ups, with revenue per buyer down about 10% as those extra buyers skewed cheaper. Both are Meta paywall wins: the anchoring made each buyer worth more, the CTA brought more buyers in.
That anchoring setup lost on organic. Those buyers arrive with a cheaper plan already in mind, and reshaping the offer around annual pushed some of them to leave rather than commit. So organic kept what travelled across both sources and needed a different answer on the cheaper plans.
2. Reworked the plan lineup for organic
For warm, high-intent organic buyers, we addressed the cheaper plans directly rather than cosmetically, across two separate tests. First, we widened the real price gap: the discount came off the shorter plans and stayed on annual alone, so the shorter plans showed full price. Motivated buyers traded up instead of leaving, and organic revenue per user rose 46%, with conversion essentially flat and annual share climbing from about a third to two-thirds. That lever raised the shorter plans' actual prices, not just their framing. A later test then removed the monthly plan altogether; measured against the updated lineup, dropping the cheapest option lifted revenue per user 27%, again with conversion essentially flat. The two are sequential wins on different baselines, not a single combined figure. The lesson underneath both: for buyers who already mean to pay, the cheapest plan isn't an entry point for the hesitant — it's a discount for the committed.
3. Sharpened the rest of the funnel
Beyond the plan structure itself, two smaller levers — the first impression and the moment right after purchase:
A stronger opening screen.
The funnel opens with a quiz whose first page was a major drop-off point. It matters most for Meta visitors, who arrive having seen only the ad. Leading with the brand's strongest, library-framed positioning — selling the product as a catalogue to explore rather than a problem to fix — lifted first-page-to-second-page conversion about 14% on Meta over a neutral version.
A post-purchase add-on.
A one-time offer shown right after checkout is taken by about one in ten new subscribers on both sources, adding roughly $2.70 in pure-margin revenue per new subscriber without touching the paywall.
Results
| Metric | Definition | Change |
|---|---|---|
| Revenue per user — Meta (annual anchoring) | Average revenue per Meta visitor who reaches the paywall (not per subscriber); conversion held flat, so the lift reflects plan mix and value | +47% |
| Revenue per user — Meta (softer CTA) | Separate Meta paywall test; a softer CTA drew about a third more sign-ups, revenue per buyer down about 10% | +20% |
| Revenue per user — organic (wider price gap) | Removed the discounts on the shorter plans, raising their price; conversion essentially flat | +46% |
| Revenue per user — organic (remove monthly) | Separate, later test on the updated lineup; conversion essentially flat | +27% |
| First-page conversion — Meta | Share of quiz visitors who continue from the first page to the second | +14% |
| Post-checkout upsell — both sources | Added revenue per new subscriber from a one-time add-on (about 10% take it); pure margin | ≈ +$2.70 |
How to read these. Each traffic source is compared on its own — Meta against Meta, organic against organic — never blended, because the two behave differently enough that a combined number hides more than it shows.
How we tested. Every result here comes from a controlled A/B test in the live funnel — traffic split evenly between control and variant, with Meta and organic measured separately and read on a sequential testing tool rather than called early. Tests ran two to four weeks each; the largest reached roughly 98% confidence. The Meta paywall was tested as a single bundle, so its +47% is the combined effect of those changes together; the other wins were each isolated as single-variable tests.
Key learnings
The same paywall change can win on one traffic source and lose on the other.
It depends on the price the visitor already has in mind. Cold visitors arrive with none, so framing is their whole decision; warm visitors arrive with a plan in mind, so removing its appeal can push them out. Blended, the two can cancel — one combined number can look positive while hiding a loss on one source inside a win on the other
For buyers who already mean to pay, the cheapest plan is a discount, not a door.
Removing it for high-intent buyers lifted revenue per user with conversion essentially flat — they traded up rather than leaving. On cold traffic the same move would more likely push people out, so it works only where intent is already high.
A single word can move conversion as much as a redesign.
A softer, learning-framed button lifted sign-ups by about a third; a stronger opening line lifted first-page conversion 14%. The cheapest changes were among the highest-return.
The moment right after purchase is its own revenue lever.
A one-time add-on at checkout adds pure-margin revenue per subscriber, stacked on top of plan revenue, without touching the paywall. The funnel doesn't end at the sale.
Conclusion
Beducated now serves its two traffic sources with a set of plans tailored to each, instead of one compromise — revenue per user up 47% on Meta and 27% on organic, with more buyers on the annual plan in both. That's the lever the business needed: more value from each subscriber widens the gap between what a subscriber is worth and what it costs to acquire one — the economics that make scaling ad spend pay off. The gain came from matching the plans to how each source actually buys. With that base in place, the next step is to extend the same source-by-source approach across the rest of the funnel.
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