Daniil Andreev is the founder of Ecorn, a Shopify and DTC growth partner working with brands from early-stage to multi-million-dollar revenue. Since 2019, Ecorn has grown from a Shopify-focused agency into a full growth team for ecommerce operators, with a particular focus on the post-acquisition window where most buy-and-scale plays succeed or quietly stall. Daniil also writes The Creators AI, a newsletter on AI agents and the AI-native tech stack for founders. We caught up with him on why first-time Shopify buyers consistently misread the work they are signing up for, what an actually useful post-acquisition dashboard looks like, and where AI is doing real damage to the agency cost structure that used to define ecommerce growth.
About You and Ecorn
Tell us about Ecorn, the mission, who you serve, and the gap in the ecommerce and Shopify market you saw when you founded it back in 2019.
Daniil Andreev: Before starting Ecorn, I was running my own ecommerce projects and working closely with brands on growth and operations. One thing became obvious quickly. In Eastern Europe, almost nobody was building ecommerce brands the way leading DTC companies in the US were doing it.
You could find developers, designers, marketers, or media buyers, but very few teams capable of delivering a complete DTC setup. Store experience, analytics, conversion optimization, retention, operations, and growth, all under one roof. That became the foundation of Ecorn.
We started Shopify-focused and evolved into a growth and implementation partner for ecommerce brands. Today we work with merchants ranging from early-stage DTC brands to established companies generating millions in annual revenue. The mission remains simple. Help ambitious ecommerce brands grow faster by combining creativity, data, and execution.
Your background spans HSE, EDHEC, Seoul Tech, and Zhejiang University. How did that journey shape the way you have built Ecorn and the way you think about scaling D2C brands?
Daniil Andreev: Living and studying in nine different countries gave me something you cannot learn on YouTube or in school. An open mind, and a real understanding of different cultures, society values, lifestyles, and a lot of interesting people along the way.
Europe taught me the importance of brand, positioning, and a more relaxed lifestyle. Asia taught me speed, iteration, and operational excellence. I try to keep all of that together in my work. Open mind and creativity, with execution attached.
Your guide to buying a Shopify store in 2026 frames acquisition as “a choice about where the work happens”, not a shortcut. Why do you think so many first-time buyers still get this fundamentally wrong?
Daniil Andreev: Many people buy businesses because they want a money-generating asset rather than starting from zero. That is completely reasonable. The problem is that some buyers assume acquiring a business means the difficult work has already been done.
In reality, the nature of the work simply changes. Instead of searching for product-market fit, you are optimizing operations. Instead of acquiring first customers, you are improving conversion, retention, and profitability.
The best buyers understand that they are not purchasing revenue. They are purchasing the opportunity to operate an existing business better than the current owner. That mindset shift is the biggest predictor of whether a deal compounds or stalls in the first year.
Asset purchase vs. share or equity purchase is one of the first big decisions a buyer makes. What is your default recommendation for first-time SaaS or ecommerce acquirers?
Daniil Andreev: In most ecommerce acquisitions, I am less focused on the legal structure and more focused on understanding how the business actually works. Ecommerce businesses can be surprisingly fragile.
Revenue might depend on a single supplier relationship. Traffic might come from a channel that will not survive ownership transfer. The business could be benefiting from tactics that are not obvious during a standard review process.
That is why I encourage buyers to spend less time debating asset versus share purchase, and more time understanding the complete operating picture. How are customers acquired? Why do they buy? What happens if the main supplier disappears? What happens if Meta CPAs double? What happens if the founder leaves tomorrow? Those questions usually reveal more risk than the legal structure itself.
For first-time buyers, asset purchases are often safer. But understanding the business model matters more than choosing between the two structures. The same logic applies to first-time SaaS acquirers, where the equivalent questions are about NRR concentration, infrastructure dependencies, and key-engineer risk. The SaaS Mag valuation playbook with John Mecke covers how acquirers actually price these structural risks into a multiple.
Due diligence on a Shopify store has its own quirks. Supplier relationships, ad-account ownership, customer-list health, refund patterns. What is the single most overlooked red flag you would urge any first-time buyer to check before signing?
Daniil Andreev: Hidden dependency risk. A lot of ecommerce businesses look diversified until you dig deeper. Then you realize 70 percent of revenue comes from one product, one supplier, one Meta campaign, one creator, or one traffic source.
I have seen businesses with great revenue numbers that were one algorithm update away from collapsing. When evaluating a Shopify store, I always ask. What breaks if the founder disappears tomorrow? The answer usually reveals more risk than the P&L.
Post-Acquisition Growth and Operations
Your post-acquisition playbook centres on a “clean baseline”, one performance view across Shopify, analytics, ad platforms, and accounting. Why is this single dashboard so often the difference between a flat acquisition and a 2 to 3x outcome?
Daniil Andreev: Because you cannot improve what you cannot measure. One of the most common situations we see is that Shopify, Meta, Google Analytics, and accounting platforms all tell different stories. Everyone has numbers, but nobody has answers.
Before making changes, we want a single source of truth. Once you understand where revenue comes from, what customers are profitable, where margins are leaking, and which channels are actually driving growth, decision-making becomes dramatically faster.
Most acquisitions do not fail because operators make bad decisions. They fail because operators spend too long making decisions with incomplete information. Tools like Triple Whale and Northbeam help a lot, but the principle is universal. Get to a single dashboard before you touch the storefront.
You have mentioned that a well-executed CRO overhaul can lift sales by around 20 percent. What does the actual first-90-days CRO sprint look like inside Ecorn for a newly acquired store?
Daniil Andreev: The first mistake many buyers make is redesigning everything immediately. We prefer to understand the business before changing it.
The first 30 days are focused on analytics validation, customer journey analysis, heatmaps, session recordings, funnel performance, and identifying obvious bottlenecks. I have not seen a brand that has this area fully covered, so there is always something to improve here.
The next 30 days are about quick wins. Product pages, merchandising, upsells, cross-sells, cart experience, checkout optimization, and retention flows. Here we come up with data-driven hypotheses and design A/B tests.
The final phase focuses on experimentation. By that point we understand customer behavior well enough to create a CRO engine for testing offers, landing pages, pricing structures, bundles, and conversion hypotheses. Most of that job now gets completed with AI in the loop, which is what makes the 90-day version of this work even feasible for a small operating team.
Unit economics is a phrase thrown around constantly in SaaS. Translate it for the acquired-Shopify-store context. Which numbers actually matter in month one, and which ones are vanity?
Daniil Andreev: Many buyers look at first-order profitability and assume they understand the business. In reality, some of the best ecommerce businesses lose money on the first transaction and make it back later.
Imagine a fashion brand selling a relatively low-priced product. The initial purchase might have a high acquisition cost and very little profit. On paper, the economics look weak. But if that customer is later converted into a buyer of premium products over the next three months, the lifetime value can be several times higher than the original acquisition cost.
I have seen similar situations in subscription-driven businesses. A pet brand might spend $20,000 on Meta ads and generate only $30,000 in immediate sales. Many investors would call that disappointing. But after introducing a subscription program, that same customer cohort may generate $90,000 or more over the following six months without any additional acquisition spend.
That is why I care less about first-order ROAS and more about the relationship between CAC and lifetime value. The metrics I focus on first are Customer Acquisition Cost (CAC), Lifetime Value (LTV), Repeat Purchase Rate, Contribution Margin, Subscription Retention where applicable, and the Cash Conversion Cycle. The vanity metrics are the ones people talk about most. Followers, impressions, traffic volume, and even revenue without context.
Ecorn’s team subscription model (Lite, Basic, Shopify Pack) is unusual for agency land. Where did the idea come from, and why does it work better for scaling brands than a traditional project-based engagement?
Daniil Andreev: The idea came from observing how successful ecommerce brands actually grow. Most brands do not need a major redesign every six months. They need dozens of improvements every month.
Traditional agency projects are optimized around delivery. Ecommerce growth is optimized around iteration. A subscription model lets us continuously improve conversion, retention, analytics, UX, development, and operations without constantly restarting the relationship.
For clients, it means having a team that already understands their business. For us, it means being measured on long-term results rather than project completion. That is a much healthier alignment, and it is also the reason the “charging for execution” shift in SaaS pricing looks so familiar from an agency seat. The pricing follows the actual unit of value the customer cares about.
Industry and Forward View
What trend in ecommerce M&A or post-acquisition operations do you think will define 2026 to 2027 that most operators are not paying enough attention to yet?
Daniil Andreev: I think we are entering an era where small AI-native teams will be able to operate businesses that previously required much larger organizations.
The most successful operators over the next few years will not necessarily be the ones with the most capital. They will be the ones with the best AI systems, workflows, and decision-making processes. We are already seeing one skilled operator accomplish work that previously required several specialists. That trend will accelerate dramatically.
The implication for ecommerce M&A is structural. The break-even revenue at which a small portfolio of acquired stores becomes profitable is dropping every quarter. That changes which deals are worth chasing.
AI is reshaping nearly every corner of commerce. Merchandising, CRO, copy, support. Where do you see AI genuinely changing the game inside Ecorn’s world, and where is it overhyped?
Daniil Andreev: The biggest impact we are seeing is operational. After our team moved to Claude and started generating skills, we increased our capacity and efficiency. After Claude released the Shopify MCP Connector, things got even better.
AI helps generate content, analyze customer feedback, identify CRO opportunities, accelerate development, support customers, and automate repetitive work. That lets teams spend more time on strategy and less time on execution.
Where I think AI is overhyped is autonomous decision-making. AI is excellent at processing information. It is much less effective at understanding world context, customer psychology, brand positioning, or making high-conviction strategic bets. The operator or founder is still necessary there, and the operators who acknowledge that honestly tend to get better results from their AI stack than the ones who outsource judgment to it.
Are there any specific SaaS, ecommerce, or fintech companies whose playbook you think every founder building an acquire-and-scale strategy should study? Why?
Daniil Andreev: I tend to learn more from operators that have successfully acquired and scaled multiple businesses than from large public companies.
One example is Shop Circle. They built one of the most interesting acquisition models in the Shopify ecosystem by acquiring multiple apps, centralizing operations, and creating value through shared infrastructure rather than relying on any single product.
I also find the ecommerce aggregator space fascinating. Companies like Berlin Brands Group, Persist Brand, and other portfolio operators have shown how much value gets created after an acquisition through operational improvements, supply chain optimization, international expansion, and better data systems.
What is interesting is that the best acquirers rarely win because they found a hidden asset. They win because they have a repeatable system for improving assets after the deal closes.
Outside of ecommerce, I also pay attention to companies like Tiny and Constellation Software. Their philosophy is very different from traditional venture-backed growth. They focus on acquiring solid businesses, improving them patiently, and compounding value over long periods of time. The common theme is that they think in systems rather than individual deals. In SaaS, the closest analogue is the compound startup model, where the operating system around the assets is what creates the multiple, not any single product.
Wrap-Up
What is one piece of advice you would give to a founder or operator considering their first Shopify (or SaaS) store acquisition, something you wish more buyers heard before they signed the deal?
Daniil Andreev: Focus on how sellers achieved their results and what they already tested. The goal is to understand not only what they achieved, but what journey they made, what obstacles they hit, and which hypotheses they ran along the way. That context tells you which growth levers are still live, which ones are already exhausted, and where your own work actually begins on day one.
Where can our readers follow your work and connect with you and Ecorn?
Daniil Andreev: I regularly share insights about ecommerce and AI on my LinkedIn: linkedin.com/in/daniilandreev. You can learn more about Ecorn at ecorn.agency. I also run a newsletter about AI, The Creators AI, where I share findings and a practical view on AI agents and the AI-native tech stack for founders and creators. If you are building, acquiring, or scaling an ecommerce business, feel free to reach out. Those are the conversations we spend most of our time having.
Daniil Andreev is the founder of Ecorn, a Shopify and DTC growth partner working with brands from early-stage to multi-million-dollar revenue. He also writes The Creators AI, a newsletter on AI agents and the AI-native tech stack for founders and creators.
Want to dive deeper into SaaS strategy and M&A? Explore how to prepare your SaaS company for acquisition in this actionable guide by FE International.
