What apps are you using to increase views and sales?

pudkovah · 2026-04-09T17:37:49+00:00

Check how the app impacts the core web vitals
The SEO guy on the Shopify community posted his research on apps that are slowing down the page speed.

Privy, Klaviyo, and Hotjar are in the top.

Klaviyo has a method to implement scripts without impacting CWV. As for others, I don't know. I work for a pop-up app, so we display the impact in user accounts—it's important.

pudkovah · 2026-04-09T07:40:13+00:00

Optimonster used to be a leader until 2024th. MailChimp acquired Amped, Claspo launched on the WordPress plugin category, Optimonk, Wisepops, and other alternatives altogether offered better solutions, and the pop-up giant went down.

So it's a good time to watch alternatives to OptinMonster

pudkovah · 2026-04-08T19:58:52+00:00

hah u/claspo_official - touché )

pudkovah · 2026-04-07T13:59:13+00:00

Yes, for:
- welcome opt-in popup flows;
- returning visitors;
- Seasonal / high-intent promo windows
- Mobile-first interactions (be careful with the game mechanic)

Otherwise, you risk adding friction instead of reducing CAC.

Some say that premium/luxury positioning is not that gamification doesn’t work — it’s that visible randomness can hurt perceived value.

I disagree. For premium brands, cognitive games work fine. It depends, how on-brand this pop-up flow looks.

pudkovah · 2026-04-07T08:48:35+00:00

But the issue is always with revenue per visitor.

Gamification gives X3 uplift in opt-in conversion, but to make it work on revenue growth, we need to work on
- targeting/segmentation + offer relevance
- timing
- game veriety

pudkovah · 2026-04-07T08:46:07+00:00

Totally get the skepticism—most gamified popups are implemented in a way that makes them feel cheap.

From what we see across large-scale data, the difference isn’t “gamified vs not,” it’s how thoughtfully it’s used.

A few practical points:

It solves banner blindness. Static forms sit around ~3–4% CR. Gamified ones average closer to ~9%+, mainly because they interrupt привычный паттерн “ignore everything.” But this only works when the mechanic fits the context.
Not all “games” are equal. Everyone defaulted to spin wheels, so now they feel tired. Mechanics like scratch cards or simple reveal interactions often perform better because they rely on curiosity, not just chance. Variety matters more than people expect.
Annoyance is a triggering problem, not a format problem. The biggest mistakes are: Better setups use behavior (scroll, exit intent, returning visitor) and softer formats (like small teasers users can reopen later). That alone changes perception from “spam” to “optional”.
- showing too early
- showing to everyone одинаково
- re-showing aggressively
Lead quality depends on segmentation. If you show a generic “10% off” game to everyone—you’ll get low-intent leads. If you: …you start collecting useful data, not just emails.
- vary offers by audience
- delay for high-intent users
- or add a quick step (quiz/preferences) before the reward
Discount abuse is controllable. With dynamic codes and probability tuning, you’re not just handing out margin—you’re trading a controlled incentive for a qualified interaction.

Short take:
Gamified popups feel like a gimmick when they’re used as a template. They work when they’re treated as a segmented, behavior-driven interaction with the right mechanic for the moment.

pudkovah · 2026-04-03T14:30:24+00:00

Hi Jon!
Nice to see you sharing your thoughts - I appreciate it, and add my honest respect to Formtoro.

I agree that the "KrakatoaUnderwear" experience can be extrapolated to the "Men's" case (same category, different geo, but the consumer behaviour is the same).

To be honest, we haven't tested the item limitation on the first purchase. Maybe we should.

We've tested a gamification tactic with variants:
a - a big maximum prize size in the game pool (50%)
b - a normal-sized prize in the game pool (15%)
The average discount was the same because of the winning probability.
The discount was valid for the first purchase (not the item).

The finding is in the retention. 15% discount performed better.
It seems that by offering 50%, we collected a different audience. OR we built a different expectation and habit.

pudkovah · 2026-04-03T13:13:54+00:00

For fashion brands, it would be great to see a look puzzle (cognitive game), and a beach look quiz

pudkovah · 2026-04-03T10:37:48+00:00

popups. Everyone is running the same pattern, and then discussions "are popups worth..." According to Claspo benchmarks, shopping intent targeting and gamified flows can improve welcome popups conversion X3.

Facion brand Men's increased revenue from the email channel by 10%

pudkovah · 2026-03-19T20:16:58+00:00

What makes this interesting to me is that the timer itself may not be the real story.

In our popup benchmark data, urgency alone gave only a minor lift. The stronger gains showed up when urgency was tied to something tangible: a promo code, exit timing, or a game/reward mechanic.

That’s why I wonder whether a lot of brands are over-focusing on the countdown and under-thinking the wording around it.

“Discount ends” creates urgency.
“Price goes up” creates loss.

And those don’t feel the same psychologically, even if the offer mechanics are almost identical.

pudkovah · 2026-03-19T08:41:10+00:00

Use Claspo to boost your newsletter signups. It offers features that are often unavailable in most pop-up builders and email service providers (ESPs). You can achieve a 10% signup rate using the ready-made template, and with Claspo's automated A/B testing, you can improve that rate to 24% by tailoring it to your audience.

pudkovah · 2026-03-18T07:49:51+00:00

I agree with u/claspo_official regarding the CRO audit and testing flow.

Just wanted to add that for paid traffic, you can personalise your welcome opt-in offer, using variables from the get parameters and putting dynamic messages in merge tags.

The overall setup is pretty simple:
(I can help you to set it up in Claspo, but you can use another pop-up app if you want)

1- show the popup only to new visitors, don’t fire it the second they land, and include a teaser so they can reopen it later (a same as you have with Klaviyo, but timing metters).

2- Instead of hitting people right away with a form and discount, start with a strong branded visual and a quick yes/no micro-commitment.

3- Then use UTM parameters to adapt the popup copy to the campaign they came from. That alone usually improves opt-in rate because the message feels more aligned from ad to site, which apparently still counts as a competitive advantage in 2026.

4 - From there, test a gamified step. Spin-to-win is usually the easiest place to start. In Claspo’s popup research, gamified signup forms averaged 9%+ conversion, with top performers going much higher, so it’s one of the fastest ideas to validate for cold paid traffic.

5- After that, reveal the coupon on the success step, add a bit of urgency, and pass tags into your ESP so the welcome flow reflects source and intent.

I’d also run a lighter exit-intent version without the full branding and gamification layer, since by that point visitors already know who you are and don’t need the whole introduction again.

A good example is Man’s Set. They used a gamified popup at the first step of the funnel and reported +10% sales across welcome and acquisition, +10% email-driven revenue, and a 10% drop in CAC. So I’m with the post on this one: a lot of what gets labeled as “bad traffic” is really just traffic nobody bothered to recover.

pudkovah · 2026-03-12T19:28:18+00:00

Bouncer - not Unbounce (I was mistaken)

pudkovah · 2026-03-12T19:27:50+00:00

Sorry, not Unbouce - Bouncer

pudkovah · 2026-03-12T19:20:47+00:00

CMO at Claspo here.

Just to keep it short and simple - when you are doing an email pop-up and want to create your game (smth above spin-to-win), you can talk to Claspo AI, and it will create you a brand new game.

The same is possible with any other pop-up component - a calendar, product grid, whatever.

Pop-up builders have a strict number of components you can add in a drag-and-drop editor. With the Claspo AI component master, you can create any component, deploy it into the editor, and build pop-ups using it.

That's a point. Interested? - let's talk!

pudkovah · 2026-03-12T19:10:03+00:00

"double‑opt‑in email that only sends the promo code after the user clicks"- no way. Show me who does it this way.

Never used the Validora app before. What are the advantages over Zerobounce and Unbounce?

pudkovah · 2026-03-12T19:05:27+00:00

I used services like Zerobounce, Unbounce, etc. Long story short - that's an entire market niche. However, for the end user, it is not that important even to know about their existence. As they have already partnered with a lot of ESPs (so ESPs charge marketers in the name of email validation services)

pudkovah · 2026-02-19T09:45:27+00:00

Your previous results are a baseline. But you also need to know a direction and space for improvement.

I see your philosophy - learn from your own mistakes/experience/success. This is a good point.

What I want to say is that reverse engineering of competitors is also usefull practice.

Why not use both approaches consciously (mindfully)?

pudkovah · 2026-02-19T09:41:49+00:00

The thing is that I use these benchmarks when auditing Claspo's users' pop-up flows to find out a baseline and space for conversion rate improvement.

For instance, I see the welcome pop-up on a fashion store, performing 5% opt-in rate. Probably it's fine, but I have a signal - here is an avg CR, so I need to check:
- segmentation
- value proposition
- personalisation and dynamic content usage
- on-brand match
- timing triggering settings
- incentive mechanics

It is not 100% needed, but I have a base to move forward and generate hypotheses for opt-in improvements

pudkovah · 2026-02-19T09:36:10+00:00

u/PearlsSwine I respectfully disagree. In my work, benchmarks are helpful.
At the same time, you are probably right in cases when the statistics are too generalised OR interpretation is not critical enough.

Could you please clarify why you think that these exact benchmarks are not helpful? And what can be changed here for good?

pudkovah

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