Sellforte

New Customer Story: How smartphoto achieved a ~10% ROI uplift by using MMM & incrementality with Sellforte smartphoto turns photos into personalized gifts and their commercial team needed a trustworthy, causal view of marketing impact across online and offline channels. Facing the usual marketing challenges (cookie loss, privacy laws, over-attribution, limited testing resources), smartphoto’s DACH team turned to Sellforte to measure what was truly incremental, not just predicted. With Sellforte, the team gained: • Full-funnel transparency across online & offline • Scenario planning to model ROI trade-offs weekly • Credible insights for board-level conversations Early results: ✨ ~10% ROI uplift 💰 +5% incremental sales 📉 –5% spend As René Baumann, GM DACH, put it: “This is like managing an investment fund. We put money where the expected return is highest and risk is lowest. Sellforte helps us optimize our channel and campaign portfolio exactly like that.” Now smartphoto’s marketing operates like a fund, maximizing returns and minimizing risk, backed by trustworthy, causal data. You can read the full case study here: https://lnkd.in/eZYACbqn

We just launched Sellforte Experiments! What makes me most happy about this launch: 💡 Instant management-ready insights Our users now get an automatically generated, executive-level experiment report, complete with key KPIs, graphs, and an AI-generated management summary. Having built many of these manually before, I know how many hours (and days!) it can take to extract insights and make them presentation-ready, so this feels amazing! ⚡ Massive productivity boost for marketing data scientists When we started running experiments a few years ago, it took roughly 40 hours of data scientist time to analyze and report a single experiment. Now, with Sellforte Experiments, it takes 2 minutes to add an experiment and 3 minutes to generate the full analysis and report in Sellforte Platform. I'm so proud about the team behind this: Kacper, Oscar, Teppo, Kha - this is a great achievement from you! Thank you for your great work! 👏

Today we’re launching Sellforte Experiments... Because running advanced marketing experiments shouldn’t feel like a research project. With Sellforte Experiments, marketers can now analyze geo lift and conversion lift tests in minutes (not months) and finally see what’s really driving sales, profit, and growth. Built for B2C marketers and data scientists, Sellforte Experiments combines causal inference and synthetic control modeling to reveal the true causal impact of your marketing, not just correlations. Here’s what you can do: 🔬 Run causal, science-backed experiment analysis in minutes: Upload your geo lift or conversion lift data and get reliable, validated insights in under five minutes; no code and no manual modeling needed. 📈 Calibrate and validate your MMM with real-world evidence: Connect experiments directly to your Marketing Mix Model to improve accuracy, strengthen attribution, and build organizational trust in data-driven decisions. 📊 See all your tests in one place: Get a single source of truth for all your experiments, complete with visualized reports, diagnostics, and summaries that make results easy to interpret and act on. ✨ Get all the key insights you need with AI Summaries: Sellforte AI automatically interprets your experiment results, surfaces key findings, and generates clear takeaways so you can move from data to action even faster. The launch of Sellforte Experiments is our latest step in making MMM more accessible to consumer marketers all around the world. It’s like having a data science assistant built right into your measurement stack. 👉 You can try Sellforte Experiments today in our open demo environment and read more in our announcement post. Open Demo: https://lnkd.in/ekj8mdi7    Announcement Post: https://lnkd.in/euT9sUaE  

What's been happening at Sellforte this week 👉 💙 New customer: Intersport I used to be a semi-professional athlete (speedskating) myself and many Sellforteans are very active in sports. This makes us super excited to start working with Intersport! Intersport is a major multinational sports retailer with both physical retail and eCommerce. We welcome Intersport to the growing Sellforte customer community, which already includes major retailers like Lidl, C&A, KIK, Tchibo, Douglas and so on. ✅ Q3 Board meeting and first Sellforte AI demo Once a quarter, we have a longer board meeting where we summarize what's been happening and review priorities for the next quarter. And there's always a few deep-dive topics. This time we had Edward sharing our new marketing strategy and plans. Our Chief Science Officer Mikko also presented a demo of Sellforte AI first time to the board. We had a "moment of truth" when our board member Miguel requested Mikko to ask from the AI: "Why are you recommending spend reduction in Bing Generic Search?". Mikko typed the question in. Then we waited for a few seconds. Juha and Mikko were confident - they knew how great work Emil and the team had done building the AI. But I confess I felt a bit nervous. Then the answer came in. And it was great! It explained all the details how the channel was saturated in the demo data and how reallocation to channels with higher miROAS led to higher incremental sales. If you want to be in the first group getting access to Sellforte AI, there's a link to the waitlist in the comments. 🎶 New team member! We're excited to welcome Samuli Reivilä to Sellforte as Senior Full Stack Developer! Samuli impressed us in the interviews with his entrepreneurial experience, getting-things-done mindset and technical mastery. And of course most importantly: musical talent that will be a great fit to the Sellforte band (to be established)! Samuli is in the middle in the picture below, with our Principal Engineer Paavo on the left and CTO Teppo on the right 😊 Have a great weekend!

🇫🇮 Selling Finland Week 1 I have been working with Finnish companies for quite some time and have experienced the work culture, the selling culture, the pros, the cons, and the entrepreneurial spirit that comes from a country that feels big in innovation but is, in reality, quite small. I recently joined Sellforte after more than five years at Leadoo Marketing Technologies, and I already see familiar patterns. Many Finnish companies face the same challenges when expanding into markets such as the United Kingdom and EMEA: excellent products but limited brand awareness outside Finland. If these same products had been created in Silicon Valley, New York, London, or Berlin, the funding and growth opportunities would likely be endless. It is always a little harder to get that first sale or even to put the product in front of the right people. I have great respect for Finnish companies such as Rovio Entertainment, Wolt, Supercell, and F-Secure Corporation, which have managed to succeed on the global stage. Over the next few weeks, I will share my journey of building a go-to-market function and expanding Sellforte into North America. I plan to post learnings, wins, setbacks, and an outsider’s perspective on what it is like selling the Suomi way. Biggest thing since Nokia!

🗺️ Marketing Mix Modeling (MMM) landscape in 2025 Nico Neumann recently shared a map where he had collected 60 companies across the globe offering Marketing Mix Modeling. Wow, that's a lot! And there's probably many more that didn't make it to the list. For a marketer, it can be tough to compare MMM solutions. I know because I've done it many times myself. If I were a marketer, I would first consider the use-cases I'm hoping to achieve. There's two questions you can ask: 1️⃣ How much detail do I want for measuring past performance? In other words, do I want Incremental ROAS (iROAS) for each.. - Ad Platform (Meta vs Google)? - Channel/tactic (Meta Prospecting, Meta Retargeting..)? - Campaign and Ad set? The same question for optimization: 2️⃣ On which level do I want to optimize media spend? In other words, do I want Marginal Incremental ROAS (miROAS) for each.. - Ad Platform? - Channel/tactic? - Campaign and Ad Set? There's four main MMM types (also illustrated in the attached picture) to evaluate depending on your answers: A. Basic MMM ✅ iROAS: Ad Platform level ✅ miROAS: Ad Platform level If you are fine measuring Google as whole, maybe comparing that to Meta or even TV, you could consider Basic MMM. This MMM type can be bought for example from local marketing consultants using Meridian. B. Advanced MMM ✅ iROAS: Channel/tactic level ✅ miROAS: Channel/tactic level Channel/tactic-level MMM (Meta prospecting, Meta retargeting..) requires more advanced data processing and modeling capabilities. The solution needs to robustly estimate response curves for each channel/tactic. This means that you typically need either an advanced MMM SaaS vendor, or one of the more expensive consultants to build a custom solution, for example using Meridian. C. MTA with light MMM on top ✅ iROAS: Campaign/ad set level ✅ miROAS: Typically ad platform level There's MTA companies who have integrated light MMM into their solution. They use incrementality factors from MMM and attribution data to estimate iROAS for each campaign and ad set. Their optimization tools are typically light or non-existent, because they have not yet invested into robust estimation of response curves to measure miROAS. These solutions can work for marketers who are focused on historical measurement. D. Next-gen MMM: Campaign / ad set -level optimization and measurement ✅ iROAS: Campaign/Ad set ✅ miROAS: Campaign/Ad set Next-gen MMM solutions enable marketers to measure iROAS on campaign and ad set -level, but also optimize spend using miROAS on the same level. Next-gen MMM solutions are for performance marketers looking to use incrementality-based measurement not only on channel/tactic-level, but also for optimizing bid values for each campaign and ad set. Sellforte is one example of these companies.

New case study: How Odlo boosted Marketing ROI by +21.4% with Sellforte 📈 We’re excited to share how Odlo, the Swiss pioneer in performance sportswear, partnered with Sellforte to understand how weather conditions influence demand — and how marketing investments could be adjusted in real time. 🌦️ The Weather Effect  For a brand rooted in outdoor sports, the weather can make or break sales. Until now, its true impact was more of a hunch than a measurable fact.  With Sellforte, Odlo quantified the difference:  🟢 +2.5% uplift in favorable weather  🔴 -4.8% drop in unfavorable weather 📊 Smarter Bidding & Media Investments  Armed with these insights, Odlo could align bidding strategies and media planning with daily demand conditions, investing confidently when the weather boosted interest and avoiding wasted spend when demand was down. 🔮 From Insights to Action  With Sellforte Home, Odlo went a step further by adopting daily sales forecasts and channel-level recommendations. This transformed campaign planning from reactive to proactive, helping the team make faster, smarter decisions. 🚀 The Results  ✅ +21.4% higher marketing ROI  ✅ Clear visibility into weather-driven sales swings  ✅ Optimized bidding & media planning tied to real demand “Sellforte’s MMM platform gave us a whole new level of clarity — especially in how temperature impacts demand. We always had a hunch that colder days spiked interest in certain categories, but the model quantified it with precision. It’s helped us optimize campaigns and inventory planning in ways we never could before.”  — Valeria Luna, Sr. Digital Marketing Manager @ Odlo Delivering impact is what we’re all about — so it’s amazing to share the great results Odlo has achieved with Sellforte. 👉 Read the full case study here: https://lnkd.in/eFYjEviR

Today we're launching Sellforte Demo, the world’s first open MMM demo environment! At Sellforte, our mission is to make Marketing Mix Modeling (MMM) accessible to every consumer marketing team. That means not only reducing the time it takes to get up and running, but also removing the barriers that have traditionally kept MMM behind closed doors. With Sellforte Demo, we’re proud to take that mission one step further. Using simulated data, Sellforte Demo shows what the product feels like, in a fully clickable experience: 🌐 Explore a live MMM platform, open to anyone in the world  🔓 No sign-up required, just click and start experimenting  🔎 Full transparency into every part of the product (Home, AI, Performance, Optimizer, Dashboards, Data & Model)  🤝 Share the demo link with colleagues and evaluate collaboratively Most MMM vendors lock their product away behind gated demos and sales pitches. We believe in doing the opposite. By opening Sellforte Demo to the world, we’re empowering marketers, analysts, and leaders to validate MMM on their own terms. 👉 Visit Sellforte and try it out for yourself

What's been happening at Sellforte this week 👇

How to use different ROAS metrics 👇 iROAS (Incremental ROAS): ✅ Use iROAS as your primary KPI for measuring past performance ❌ Don't use iROAS for decisions to increase/decrease spend. iROAS could be high but if your channel is saturated, increasing spend is a mistake. miROAS (Marginal Incremental ROAS): ✅ Use miROAS as your primary optimization KPI. Increase spend for channels, campaigns and ad sets where miROAS is high What is miROAS? miROAS answers the question: "If an additional dollar is spent on the channel/campaign/ad set, how much additional revenue will it generate?" ROAS based on Last-Click or Ad Platform attribution: ❌ Don't use ROAS for measurement or spend reallocation decisions ✅ Provide conversion data to your measurement vendor as an additional data stream that can provide info about media effectiveness if processed properly More in the blog linked in the comments 👇