Here’s a finding that should stop every Shopify operator mid scroll: a 10% welcome offer converts better than a 15% welcome offer.
Not marginally better—measurably better on opt‑in rate, and meaningfully better on revenue per visitor. If you’re running a $500K–$10M Shopify brand and your email popup is stuck at a 2–3% signup rate, “sweetening” the discount is exactly the wrong move. The problem isn’t the size of the offer; it’s that you’re showing the same offer to every visitor, regardless of what they came to your site to do.
My guest today is Taras Talimonchuk, CMO at Claspo, the popup and onsite conversion platform built by the team behind Promodo, one of Ukraine’s largest ecommerce agencies, and eSputnik, its leading email service provider. Claspo has measured hundreds of millions of widget impressions across its merchant base, and Taras came to this conversation with hard numbers: offers between 1–10% convert at roughly 7%, offers between 11–15% drop to 6%, and revenue per visitor is consistently stronger at the lower end. Bigger discounts don’t buy better customers—they buy discount hunters.
In this episode, Taras breaks down the shopping‑intent framework behind those numbers: why paid, organic, and LLM‑driven traffic each deserve a different offer, why your ESP’s native popup will always hit a ceiling, how Claspo’s agentic AI finally runs the A/B tests your team never gets around to, and what actually happens under the hood when you install the app on your store. Whether you’re still using the default Klaviyo form or you’re running a full CRO program, this is the playbook for treating your popup as a business driver instead of an afterthought.
Let’s dive in. 👇
✅ Why a smaller discount outperforms a bigger one. Claspo’s data shows offers in the 1–10% range converting at about 7%, while 11–15% offers actually drop to 6%. Taras walks through both the conversion math and the revenue‑per‑visitor story hiding underneath it, and he’s refreshingly honest about where the numbers are clear and where we’re still in hypothesis territory.
✅ The shopping‑intent gap that costs you signups. A visitor arriving on a PDP from a paid ad, a reader landing on your blog from organic search, and someone referred by an LLM are three completely different people with three completely different intents. Most stores still greet all three with the same 10% off banner, and Taras breaks down what that mismatch does to your opt‑in rate.
✅ Why your ESP’s built‑in popup will always plateau. Taras is candid about where Klaviyo and Omnisend stop and why. Hint: it has nothing to do with capability and everything to do with focus, and understanding that distinction tells you exactly when it’s time to look outside your ESP for onsite conversion.
✅ What gamification actually does to opt‑in rates. It’s not just novelty. Taras makes a case for what a well‑designed game leaves behind that a plain discount code never can—an actual brand experience—and why that matters for the second purchase, not just the first.
✅ How agentic AI is quietly rewriting the CRO workflow. Claspo now ships an MCP server, which means Claspo, Klaviyo, and Shopify can be orchestrated from a single Claude or Cursor window. Taras explains what the AI agent handles end‑to‑end, where it still needs human direction, and how it takes A/B testing off your team’s to‑do list.
✅ The Shopify install path, start to finish. From script delivery and dynamic promo‑code sync (which quietly kills a coupon‑fraud problem most merchants don’t even know they have) to automatic cart application and the ESP handshake, Taras walks through exactly what happens when you install Claspo on your store and how your data continues to flow where it needs to go.
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Most Shopify merchants treat the email popup as a checkbox item: install the app, set a 10% welcome offer, turn on exit intent, and move on. In this episode, Taras Talimonchuk, CMO at Claspo, walks through why that habit is quietly costing you money, starting with a counterintuitive truth: the smaller offer wins.
Drawing on hundreds of millions of widget impressions, Taras explains how offers in the 1–10% band convert at around 7%, while offers in the 11–15% band drop to roughly 6%. Push into the 16–20% range and conversion jumps sharply, but that spike sits inside a dataset skewed by gamified popups and does not actually tell you to chase ever higher discounts. The revenue per visitor story is the real signal: lower offers consistently drive better revenue outcomes than higher discounts, because bigger discounts attract discount hunters, one-and-done buyers, rather than valuable customers. Taras also shares a second, more behavioral hypothesis worth sitting with: shoppers have seen “10% off” so often that any other number feels suspicious. The market trained them, and now the market is constrained by that training.
From there, the conversation zooms out to the bigger idea: shopping intent, not just discount size. A visitor landing on a product page from a paid ad, a reader arriving on your blog from organic search, and someone referred by an LLM are three different people with three different intents. Treating them all with the same 10% off banner is a tax on your conversion rate. For some segments, a discount is the right lever; for others, a quiz or a game is a much better first handshake. Claspo’s multi-signal fingerprinting system exists to answer a deceptively simple question, who is actually new versus who just cleared their cookies, and Taras argues that this kind of anonymous-traffic intelligence will never be done well inside your ESP because it is not what ESPs are built to focus on.
Steve spends a good chunk of the episode on the practical questions operators actually care about. What happens when you install the app? Taras walks through script delivery, Shopify promo code sync that shuts down the coupon scraping problem where fraudsters harvest your codes and dump them on aggregator sites, automatic application of promo codes to the cart, and how the ESP handshake keeps your data flowing cleanly into Klaviyo or Omnisend. Will it slow down your site? The script loads asynchronously, and Claspo exposes its own performance impact inside your account, a deliberate design choice so merchants can see, and hold them accountable for, what the script is doing. Will it fight with your ESP? Claspo ships direct, two-way integrations, including the ability to target onsite popups against your existing Klaviyo segments. There is even a moment on air where Taras corrects Steve about the “Built for Shopify” badge and explains why Claspo does not carry it, and why keeping a more flexible, Figma-style builder outside the native Shopify UI was an intentional tradeoff.
The last third of the conversation looks ahead to where conversion work is going. Claspo now runs an MCP server, which means power users can orchestrate Claspo, Klaviyo, and Shopify from a single Claude or Cursor window with one prompt. Their agentic layer can build custom components on demand, Taras uses the example of a merchant asking for a Tetris-style game that no one else has, and takes over the CRO grind that teams rarely have time for: prioritizing hypotheses, spinning up variants, managing A/B tests, and iterating. His view on what this means for agencies is the line that is likely to stick with you: the routine work is going to the agents; the creativity is the job that remains, and it was always the part worth paying for.
This episode is not a generic sales pitch for a popup app. It is a rethink of the first ten seconds a stranger spends on your store, and what happens to your list growth and revenue when you finally treat that moment like a business lever instead of an afterthought.
👉 A bigger discount does not buy you a better customer. Claspo’s revenue per visitor data shows lower offers producing stronger downstream revenue than aggressive ones, because deep discounts select for buyers who show up for the deal and disappear when it is gone. Optimize your popup for the quality of the list you are building, not just the size of it.
👉 The offer is not the variable. The segment is. Paid traffic hitting a product page, organic traffic reading your blog, and LLM referral traffic all arrive with different shopping intent, and greeting them with the same welcome offer is the single most common failure Taras sees in Shopify stores. Start by asking who is on the other side of the popup before you decide what to put in it.
👉 Know exactly where your ESP stops. Klaviyo and Omnisend build excellent automation and CDP infrastructure, and onsite popups are simply not their focus. That is not a criticism, it is a boundary, and the moment your opt‑in rate plateaus around 3% is the moment that boundary starts costing you real money.
👉 Gamification works because it leaves a memory, not just a coupon. Taras draws a distinction worth holding onto: one visitor takes a discount, buys once, and forgets you; another plays, enjoys it, and remembers the brand. The second visitor is the one your LTV depends on, and that very first interaction is where the relationship is either built or transacted away.
👉 Agentic AI takes the routine, not the thinking. The agent can prioritize hypotheses, build variants, and run tests around the clock, which is exactly the work most teams postpone indefinitely. What it cannot do is decide what is worth testing; creative direction is now the scarce input and, for agencies, it is the part of the service that becomes more valuable, not less.
👉 Audit the fraud vector hiding in your discount codes. Static promo codes get scraped and republished on coupon aggregator sites, which means people who were ready to pay full price find your discount anyway. Dynamic, single‑use codes generated at the moment of capture close that leak, and most merchants have never checked whether it is open.
Taras Talimonchuk
Chief Marketing Officer, Claspo
Taras brings 16 years in marketing, with a focus on MarTech SaaS, user acquisition, and creative strategy, to a company sitting on one of the more interesting datasets in ecommerce conversion. As CMO at Claspo, he leads the effort to turn hundreds of millions of widget impressions into benchmarks merchants can actually use, and he is deliberate about publishing those findings openly instead of hiding them behind a sales deck.
Claspo’s origin story explains a lot about how Taras thinks. The company was not born from a VC pitch; it emerged inside the ecosystem of Promodo, one of Ukraine’s largest digital agencies, and eSputnik, a leading Ukrainian ESP, when clients asking for genuinely exceptional onsite experiences started receiving quotes around €5,000 per custom branded game. Founder Nikita Korchevskyi, who ran retention marketing at Promodo for eight years, teamed up with Dmitry Kudrenko, founder of eSputnik and Stripo, to solve a problem they were both living, and Claspo remains bootstrapped.
What makes Taras a particularly valuable guest is his willingness to say “I don’t know” out loud. When Steve asks why a 10% offer beats a 15% offer, Taras separates the data he has from the interpretation he is still guessing at, and offers competing hypotheses without pretending any of them are settled. It is a rare posture for a CMO, and it is a big part of why the numbers in this episode are worth trusting.
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We’re talking about popups and exit‑intent messages that show up on your website. My guest today has research that shows a 10% offer can actually beat a 15% offer, by a much bigger margin than you would expect. We get into that today, and I really believe it will flip the script on how you think about and execute offers on your site.
My guest is Taras Talimonchuk. He is the CMO of a company called Claspo. That’s C‑L‑A‑S‑P‑O, Claspo.io. Claspo has served, and Taras will share the real numbers, billions of popup impressions across hundreds of thousands of sites. When they talk about what actually converts, they have the data to back it up. This is truly at scale, not just theory.
By the end of today’s recording, you’ll know why most email popups underperform, how to improve targeting overall, and how to move signups to a much larger capacity.
So let’s jump into today’s conversation. Hello Taras, welcome to the show.
Taras Talimonchuk:
Hi Steve. Hi, thanks for having me.
Steve Hutt:
My pleasure. Let’s talk about Claspo, because I believe it originally came out of an ecommerce agency and an ESP. You’re not coming from a VC round. Can you talk a bit about being close to real merchant operations and how that helped build this solution? I’m looking for more of the origin story.
Taras Talimonchuk:
Yes, as you said, it started between an ecommerce agency that is a local leader in Ukraine and an ESP system, eSputnik, which is also an ecommerce local leader in Ukraine.
The idea is very simple. When clients, especially big ecommerce brands, asked the agency to create an exceptional experience rather than a regular popup, it was usually about tactics, gamification, interaction, and more comprehensive targeting and personalization. ESPs as systems don’t need that kind of complexity in this part of their functionality. They do popups and forms that are good enough for the majority of clients, but not for something exceptional.
So agencies started to build their own things. At one point they decided, “We can do this together. Let’s build another product that will cover the needs of merchants who want exceptional experiences, better conversion, and the ability to capture high intent and pass those warm leads to the ESP system.” That’s how Claspo started. It came out of a batch of experiments that eventually became a product idea.
Steve Hutt:
Yeah, it’s amazing. I’ve been doing this podcast for over eight years, and it seems that a lot of the best solutions, apps, and marketing platforms that connect to Shopify start as in‑house tools to solve a specific problem no one else is solving well.
They’re successful internally, and then word gets out or the team realizes there might be a SaaS product here with recurring revenue that others could benefit from. That’s exactly what happened with Claspo: it was built in‑house, did what it needed to do, was very successful, and then it became clear there was more opportunity for others to use it. Here we are today talking about it because so many people are using it.
Taras Talimonchuk:
Yes, yes. This is the evolution of the proposal. Claspo started as a tool that helped save development costs. There was no problem inventing gamification or new games for new brands. The problem was the development cost: every client had to pay about €5,000 for a branded game on the website. That was the beginning.
Now we see another problem. We solve conversion problems and the return‑on‑investment problem, where every marketer’s headache starts: customer acquisition cost and LTV.
Steve Hutt:
Yeah, it’s crazy. From what I’ve read, your core thesis around Claspo is that a lot of Shopify traffic is anonymous and gone in seconds. Knowing that, can you walk me through what merchants are actually losing when they treat popups as an afterthought instead of a business driver? I think that’s the differentiation right now with Claspo: the uniqueness of those visitors and how Claspo interacts with them.
Taras Talimonchuk:
Yes, we see the problem of shopping intent. We are working on precise identification of shopping intent.
In simple words, every merchant has traffic from paid channels, organic channels, and LLM systems. That traffic lands on product detail pages, blog pages, and the home page. All these segments have different shopping intent and have to be treated differently.
The problem we see in most Shopify stores is that the welcome message, the welcome popup, usually offers 10% off. It is a regular practice, and it’s the gap we see in the market and help to resolve. We help identify who really needs that 10% off. We are not saying a 10% off popup is bad.
It is not bad. It is a good tactic, but not for all traffic and not for all audiences. For some people, it’s better to show a quiz. For others, the 10% offer or another kind of game works better. That’s the difference.
Another thing is that there are so many hypotheses and ideas, and we know how hard it is to implement everything and how hard it is to A/B test. That’s why we developed our agentic AI direction. We help build complex tests, prioritize hypotheses, set up tests, and run them automatically. There is no need to sit and create all the variants and track conversion every day.
The agent does it for you, because this is exactly the kind of job AI can do now.
Steve Hutt:
Yeah, it’s so interesting, because when I think about built‑in forms like popups, exit intent, and scroll intent in tools like Klaviyo or Omnisend, they all look and convert very similarly because they’re native inside the ESP.
Why do you think some of these native solutions hit a ceiling in terms of the value they bring? And then, let’s contrast that with what Claspo is doing. You could choose not to use the defaults in Klaviyo and Omnisend and use Claspo instead. Why do you believe there’s a ceiling on the default ones?
Taras Talimonchuk:
From the ESP perspective, I’m familiar with the problems they are trying to solve. Identifying anonymous traffic, seeing the differences, reading thousands of signals and events during the website journey, and building behavioral segments is not their main focus.
That is not the core value they give to their clients. They have plenty of use cases to cover in email automation, so they don’t focus on onsite behavioral segmentation, and that is understandable. They do great automation, great CDP platforms, and so on. They do that very well. Popups are not their lane.
So there comes a moment when a marketer, whether a CRO specialist or email marketer, notices they are stuck at a 3% opt‑in conversion rate on the website. They ask, “What can I do?” They learn tactics, gamification, segmentation, and personalization, but they can’t implement those ideas with their ESP.
Then they look for popup apps on marketplaces like the Shopify App Store or Klaviyo’s App Store. That’s how they find us.
Steve Hutt:
Yeah, exactly. You mentioned gamification, and we see that without email capture, signup rates are often around 1–2%, which is quite low but common. When you add gamified triggers, the interaction rate and ultimately the email capture rate are significantly higher.
What do you think drives that gap between the default regular popup or exit intent and a gamified version?
Taras Talimonchuk:
People love games. I think people genuinely love games. It may not be obvious that an ecommerce shopping journey can be a game, but it is, even without a gamified popup. The process of selling and shopping is a game.
If you understand that and can play with your visitor, and play honestly, you can win conversion in the moment and in the long term. Imagine two cases.
In the first case, someone gets a discount, makes their first purchase, and forgets about you. In the second, they play a game and have an experience with the brand, not just a discount. They have a nice, playful experience, and you leave a good memory about their first shopping experience.
That’s why gamification works so well.
Steve Hutt:
Yeah, it’s amazing. I’ve gone to your website and seen a lot of templates tied to different goals brands may have: growing email, increasing sales, and straight lead generation, depending on the use case.
What I find interesting, and I mentioned this at the top of the show, is the default “10% off in exchange for an email address” first‑time visitor bonus. You’ve found that a smaller offer converts better. Instead of offering 15% off, maybe being aggressive, the 10% often converts significantly better.
What does your data tell you about the merchants you work with? And why can we give a lower offer but get a higher conversion rate for email capture?
Taras Talimonchuk:
Honestly, Steve, I have the data, and I’m happy to share it. But all I have about the interpretation are guesses, because I don’t know exactly why it is so.
We see a 7% conversion for offers from 1–10%, and a lower 6% conversion for offers from 11–15%. So it seems like it is better to give 10% off than 15%, because you get better conversion.
Then the conversion rate jumps higher when it comes to 16–20%; it reaches 17%, which is very high. One reason is that gamified popups are also included in this dataset, and gamification does something interesting. You often see “win up to 50%,” but the average win can be managed by marketers, so it might actually be 10%. That could be a reason we see better conversion, because a bigger headline offer is involved.
At the same time, we investigated revenue per visitor. We measured not just conversion; we measured the revenue event. We saw that offers from 1–10% deliver better revenue than higher discounts, which is logical. Higher discounts give you better conversion, but more discount hunters follow.
It works that way. So these are guesses.
Another guess is social behavior: people copy the experience of others. Merchants look around and see everyone offering 10% off. They say, “Okay, I’ll offer 10% off too.” Shoppers see 10% off so often that if they see a different number, they probably don’t trust it.
Steve Hutt:
Right.
Taras Talimonchuk:
I don’t know, but it looks that way.
Steve Hutt:
Yeah, that’s a good point. Now, what about only showing the popup to new, non‑subscribed visitors? That feels like best practice. A lot of major brands fail at this. Logged in or not, personalization is often poor. I’ve received emails promoting women’s clothing even though I’ve only purchased men’s clothing, which is a separate failure on their ESP.
From a popup perspective, what does your data tell you about showing popups only to new and non‑subscribed visitors and having a different experience for logged‑in or returning customers?
Taras Talimonchuk:
This is the technical side. Every popup app offers a system to identify unique users and target new users versus returning visitors.
The difference we found is that there is a gap in the market. Many competitors, and ESPs—which I call “frenemies” because they are not really competitors—don’t do complex fingerprinting. They don’t do this because it’s not their main job.
We built a system that identifies a visitor’s identity using many different signals, not just one. Not only cookies, not only Google Analytics IDs, and so on. It’s a complex technical solution that helps us dramatically increase the efficiency of targeting new visitors.
When it comes to email popups, new visitors are a segment we absolutely want to work with, because we need contact details from these new visitors.
Steve Hutt:
That’s amazing. Let’s pivot slightly to AI. You now have agentic AI available inside Claspo. Can you talk about that? It seems interesting, given the intelligence in frontier models around optimization, and it might take some work off marketers’ to‑do lists by letting the system make modifications.
What is your AI assistance doing inside the platform? Any case studies, even anecdotal ones, about turning it on, what happened, and what experiments it ran? I’m curious what the product actually does and why people might want to implement it.
Taras Talimonchuk:
Yes, this is a very interesting and exciting field. Sometimes I sit at the end of the day in Cursor watching these steps and think, “Okay, you can do this, this, this, and that at the same time.” I feel like the problem is that I can’t prompt enough. My own prompting capacity is the bottleneck, which is interesting.
Regarding Claspo and popups, we built a component SDK a few years ago. That was a good prediction from our product management team, because they knew the agentic era would require a strong technology base to build MCP and open our platform to agents.
Now, with AI, Claspo can build components and games. For example, if a client says, “I don’t want a spin‑the‑wheel popup. I want a Mario‑style game or Tetris. I want a game no one else has. Build this for me,” you can prompt our component and say, “I want Tetris or Mario in this popup. I need it for this brand. Here are the brand guidelines. Build it.” Claspo can then build a component only you and your clients use. That’s one benefit of our AI adoption.
Another benefit is conversion rate optimization. As I mentioned, it’s a complex task. The first complex part is benchmarks. Every CRO framework starts with a benchmark to know where to begin. We have those benchmarks. We have billions of page views and popup views, which allow us to give a strong starting point and set the right hypotheses from the beginning.
Then the agent helps take that campaign, initially set up based on our averages, and improve it for your specific traffic and website, analyzing segments, checking hypotheses, and continually improving popup conversion. Those are the two main things AI helps with: conversion rate optimization and creative freedom.
Steve Hutt:
Yeah, I love the creative freedom. You can really create a competitive moat. You mentioned games, and that’s a great example. I think AI is impactful for brands when it supports human interaction and human creativity.
You can’t just say to AI, “Make me something creative.” It needs direction. The human has to come up with the idea, then prompt it in natural language. You don’t even have to type; you can use tools like Whisper, speak generally into the system, and something new can pop out. That’s really cool.
I also see a huge A/B testing opportunity. Let the system come up with A/B tests and winners for conversion, because if you’re not testing, you’re not improving. That’s standard marketing practice. Your solution helps write, translate, suggest tests, and pick winners. It’s neat.
Taras Talimonchuk:
Yes. That’s how Google Ads works and how Meta ads work. You start with suggested messages. These messages are not excellent, but they are not bad. They’re a good starting point. Then you improve, test A/B variations, and iterate.
When humans do that manually, it’s complicated. Now agents can do that.
And there is a third option that AI opens in marketing technology: connectivity. MCP, or multi‑tool control, means Claspo’s MCP can be connected with Klaviyo’s MCP and Shopify’s MCP, and everything works from one Cursor window. It’s amazing. People can stop using each tool’s UI separately. From one window, they can manage workflows that require Claspo, Klaviyo, and Shopify together, all with one prompt. That’s amazing.
Steve Hutt:
Yeah, I’m a heavy Claude user and have many MCP servers connected, more in the media company space. I use Ahrefs for keyword rankings and competitiveness and gap analysis, plus tools that connect to Google Search Console and Google Analytics, and a few others. The workflow is there.
I didn’t realize you had an MCP server. That’s a real value add for power users on tools like Cowork or straight Claude, being able to access MCP directly on an account.
That leads to another question about the Shopify app. It sounds like a one‑click install. What happens when someone installs Claspo on their store? What’s going on in the background? What does it ingest from the company—orders, products? And is there any hand‑holding about next steps once ingestion is finished?
Taras Talimonchuk:
The first thing that happens when you install the Shopify app Claspo is that you deliver our script to your website. That’s step one.
Another thing is you create a connection between certain Shopify features and Claspo, like promo codes. You get dynamic promo codes from Shopify into Claspo. This solves a painful problem: merchants offer discounts on the website, and some hackers or scammers steal the promo codes and post them on aggregators. Fraudulent activity follows, which is very bad.
We connect the promo‑code system to avoid this. We also connect a system that passes promo codes directly to the cart. If you click a promo code in a Claspo popup, it is automatically in the cart.
There are many other pieces that paint the picture of our Shopify integration. Then you go to the Claspo dashboard. We have a separate UI for the builder, where you can create your first campaign. You can set it up using ready‑made CRO popups, proven templates and tactics with known conversion rates.
You set it up quickly: tweak to your brand, check targeting and triggers, and once you’re happy, you run the campaign. Then you request improvement, and we do improvement with the AI agent. That’s how the overall process looks.
Steve Hutt:
Yeah, that’s amazing. As for connections, that’s the Shopify side. There are skeptics who say, “I don’t want to keep adding apps. I’m worried about how well they play together.”
What’s your thinking and intention around connecting to Klaviyo, Omnisend, and other tools? Merchants want to make sure data flows well and apps play nicely.
Taras Talimonchuk:
I know this concern and understand it. I’ve read articles where SEO specialists researched the impact of some Shopify apps on Core Web Vitals. If something is done wrong technically, it can hurt, of course.
From our perspective, the solution is simple. We upload our script asynchronously, so it has no impact on Core Web Vitals.
Regarding orchestration and connectivity with other apps, we have direct integrations with ESP systems. We are deepening integrations with Klaviyo and Omnisend. We had basic integrations; now we’re building deeper ones so our system can communicate both ways.
That means that if you have a segment in Klaviyo, you can target Claspo popups based on that Klaviyo segment. That’s part of the orchestration.
So I think connectivity is not an issue for us. I see no problems; everything is well set up here.
Steve Hutt:
What’s interesting, and what I thought legitimized Claspo, is that you have “Built for Shopify” app status. That badge means something, because Shopify is very specific, with high standards for performance, data integrity, design, and integration. I saw that badge as proof of performance around what you built.
When you think about that, it’s part of how you position the product. Shopify agrees it’s fast‑loading, with privacy‑friendly settings, and so on. Even in merchant reviews I read while preparing for this recording, people say the popups load extremely fast and the app does not slow down their website. These are live merchants who seem incredibly happy with the platform.
Taras Talimonchuk:
Yes, it’s easy and measurable. Performance impact is a metric we track. We have it in our account. Once you install the script or app, you can see the impact on your performance.
We are honest. We’ve been tracking that metric for ourselves from day one and show it to merchants.
Regarding the “Built for Shopify” badge, we don’t have that badge. We have the Shopify Partner badge.
Steve Hutt:
Okay, that’s it.
Taras Talimonchuk:
The only reason we don’t have “Built for Shopify” status is that we don’t have a fully built‑in UI/UX inside Shopify. Our popup builder is complex and gives design freedom. It’s like Figma.
If we moved it inside Shopify’s native UI/UX, we would lose many interesting features that help our popups shine.
Steve Hutt:
Yeah, that’s amazing. What do you think the next steps are? There are agency partners listening who provide done‑for‑you marketing services, and there are founders and marketers listening who are looking for what to do next.
We’ve chatted for half an hour, and there’s clearly opportunity. Many people don’t know what they don’t know, or they’re doing something basic inside their ESP. What do you tell agency people? What do you tell marketers at Shopify businesses? What should their next steps be?
Taras Talimonchuk:
I think the next step is an open dialogue. Agencies and vendors need open dialogue about agentic AI. We should rebuild our workflows.
Agencies can now do more. They can focus on creativity and ideas for improving conversion, and pay less attention to routine work like A/B testing and managing multiple accounts. Agentic AI can do that work very easily and much cheaper than people.
Creativity and conversion rate optimization as the result of creativity, not just routine work, is the future. That is the dialogue that should happen between vendors, agencies, and brands.
Steve Hutt:
Right, that’s amazing. We’re nearing the end of the show today, but I know from our pre‑recording conversation that you have an offer for listeners who want to learn more and try the solution.
Can you share the details of that special listener‑only offer?
Taras Talimonchuk:
Yes, sure. Every new user can claim 20% off welcome pricing for all Pro plans. Pro plans in Claspo mean plans with a high volume of page views.
You can claim it by typing “fastlane” in the support chat. Our customer success team will apply the promo code for you.
Also, if your agency operates with DTC brands that have more than 50,000 monthly visitors and you are interested in testing Claspo over your current solution to convert more emails and phone numbers into your base, just find me on LinkedIn and send me a direct message. I will help.
Steve Hutt:
All right, beautiful. I’ll make sure I put your LinkedIn details in the show notes. That will be at ecommercefastlane.com.
I’ll also link to the app. It’s free to install. You can go to the Shopify App Store, install it, and I believe it’s free up to 3,000 page views. You can at least try it, see what the UI is all about, and decide, “Yes, I like this. I think it can be very impactful.” It connects to Klaviyo or Omnisend correctly.
There is no cost to install and test it. Then you can decide, “Okay, I think I can really get rolling with this.” If you move to one of their paid plans, I think there’s a 14‑day free trial on those plans anyway. If you choose to continue, you’ll get the Fastlane bonus by messaging customer service through the chat widget.
That’s really cool. This has been very impactful. Thank you for coming on the show today. I’ve learned a lot.
Taras Talimonchuk:
Thank you.
Steve Hutt:
Yeah, this is lovely.
Taras Talimonchuk:
Nice conversation. Thank you.
Steve Hutt:
All right, that’s it for today’s episode. I’d like to thank you personally for being a loyal listener of eCommerce Fastlane. It’s my hope that this podcast offers you a ton of value through growth strategies, tactics, and exclusive insider tips on the best Shopify apps and marketing platforms, all with my goal to help you build, manage, grow, and scale a successful and thriving company powered by Shopify.
Thanks for investing some time today and listening to the show. I’m proud and excited that you have a growth mindset and are a constant learner. I truly appreciate you and your entrepreneurial journey.
Enjoy the rest of the week and keep thriving with Shopify.
