Quick Verdict
Sellforte scores 39.5 out of 49 in our structured evaluation; Lifesight scores 24 out of 49.
Lifesight is a channel-level MMM platform with a conversational AI interface called Lifesight MIA. It covers marketing data reporting, historical performance insights, and channel-level spend optimization well, matching Sellforte in those categories. Its main limitations are the absence of campaign and ad set-level optimization, no incrementality testing capabilities surfaced through the conversational AI, and very limited enterprise-grade platform features.
Sellforte is the broader platform: it covers channel- and campaign-level optimization, all three incrementality test types (geo, A/B, and conversion lift), a fully integrated and calibrated MMM, and meets enterprise IT requirements that Lifesight does not address.
If you are a mid-market organization focused purely on channel-level spend optimization and do not need campaign-level execution, causal experimentation, or enterprise IT compliance, Lifesight is a reasonable fit. If you need campaign and ad set-level optimization, incrementality testing, a calibrated MMM, or enterprise-grade IT compliance, Sellforte is the stronger choice.
Introduction and Table of Contents
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This article compares Lifesight and Sellforte head-to-head on conversational AI capabilities for MMM and incrementality testing, using the same 49-criterion framework we developed for our in-depth comparison of all major vendors in this category. Here's what we're covering in this article:
- Quick Verdict
- How We Evaluated
- About the Vendors
- Side-by-Side Scorecard
- Category-by-Category Breakdown
- Marketing Data Reporting via Conversational AI
- Historical Performance Insights and Causal Explanation via Conversational AI
- Channel-Level Optimization with Conversational AI
- Campaign and Ad Set-Level Optimization with Conversational AI
- Incrementality Testing with Conversational AI
- Agentic Execution and Autonomy
- AI UX and Conversational Interface
- Analytical Backbone
- Enterprise-Grade Platform
- Where Lifesight Wins
- Where Sellforte Wins
- Which Should You Choose?
- Frequently Asked Questions
How We Evaluated
Both platforms are scored against the same 49-criterion, 9-category framework developed for our in-depth comparison of AI tools for MMM and Incrementality Testing in 2026. The criteria and the methodology behind them are presented in full in How to Choose an AI Tool for MMM and Incrementality Testing: 49 Evaluation Criteria. They were derived from more than 1,660 real AI prompts and 700 discussions with marketers and marketing analytics professionals across retail, ecommerce, DTC, travel, and restaurants.
Each criterion is scored 1 (fully supported), 0.5 (partially supported or inconclusive evidence), or 0 (not supported or no public evidence found). Scores are based on public first-party vendor documentation, vendor-disclosed information on third-party platforms, and third-party review sites. Absence of evidence counted as 0.
About the Vendors
About Lifesight
Lifesight is a marketing measurement company offering a Unified Measurement OS that covers Marketing Mix Modeling and geo lift testing, with a conversational AI interface called Lifesight MIA built on top of it.
Lifesight provides a channel-level conversational AI layer to make measurement insights more accessible to marketing teams. MIA supports marketing data reporting, historical performance insights, and channel-level spend optimization through natural language. Lifesight does not offer a public demo without a sales call.
About Sellforte
Sellforte is a SaaS platform that unifies Marketing Mix Modeling, Incrementality Testing, and Attribution into a single operating system for retail and ecommerce, with a conversational AI interface covering the full stack.
Unlike most other measurement vendors, Sellforte measures incremental ROAS at the campaign and ad set level, providing spend and bidding recommendations for tactical budget steering. Conversational AI is one major component of the Sellforte platform, alongside Marketing Mix Modeling, incrementality testing, and incrementality-corrected attribution. Sellforte is used by enterprise retailers and ecommerce brands including bonprix, Lidl, C&A, Douglas, and Tchibo. Sellforte's conversational AI can be evaluated through a public demo at demo.sellforte.com without a sales call.
Side-by-Side Scorecard
| Category | Lifesight | Sellforte |
|---|---|---|
| 1. Marketing Data Reporting via Conversational AI | 4 / 4 | 4 / 4 |
| 2. Historical Performance Insights and Causal Explanation via Conversational AI | 5 / 5 | 5 / 5 |
| 3. Channel-Level Optimization with Conversational AI | 5 / 5 | 4.5 / 5 |
| 4. Campaign and Ad Set-Level Optimization with Conversational AI | 0 / 6 | 4 / 6 |
| 5. Incrementality Testing with Conversational AI | 0 / 6 | 2.5 / 6 |
| 6. Agentic Execution and Autonomy | 0.5 / 4 | 2 / 4 |
| 7. AI UX and Conversational Interface | 5 / 8 | 6.5 / 8 |
| 8. Analytical Backbone | 3 / 4 | 4 / 4 |
| 9. Enterprise-Grade Platform | 1.5 / 7 | 7 / 7 |
| Total score out of 49 | 24 | 39.5 |
Category-by-Category Breakdown
1. Marketing Data Reporting via Conversational AI (Lifesight: 4/4, Sellforte: 4/4)
| Criterion | Lifesight | Sellforte |
|---|---|---|
| 1.1 AI reports sales progress for online sales | 1 | 1 |
| 1.2 AI reports sales progress for offline store sales | 1 | 1 |
| 1.3 AI reports digital media data (spend, impressions, clicks) | 1 | 1 |
| 1.4 AI reports offline media data | 1 | 1 |
| Category total | 4 / 4 | 4 / 4 |
Marketing data reporting is a tie. Both Lifesight and Sellforte score a perfect 4 out of 4 in this category. Both platforms surface online and offline sales data, digital media KPIs across major paid channels, and offline media spend and performance through their conversational AI interfaces. For teams whose primary need is a natural language interface to raw marketing data, both tools deliver equally at this foundational level.
2. Historical Performance Insights and Causal Explanation via Conversational AI (Lifesight: 5/5, Sellforte: 5/5)
| Criterion | Lifesight | Sellforte |
|---|---|---|
| 2.1 AI measures incremental ROAS and incremental revenue for each digital channel | 1 | 1 |
| 2.2 AI measures incremental ROAS and incremental revenue for each offline channel | 1 | 1 |
| 2.3 AI-reported incremental ROAS is updated daily | 1 | 1 |
| 2.4 AI reports promotion-driven revenue, in addition to media-driven | 1 | 1 |
| 2.5 AI explains why performance has changed (promotions, seasonality, weather, saturation) | 1 | 1 |
| Category total | 5 / 5 | 5 / 5 |
Historical performance insights and causal explanation is a tie, with both platforms scoring a perfect 5 out of 5. Lifesight's AI reports incremental ROAS and incremental revenue for both digital and offline channels, updates those measurements daily, surfaces promotion-driven revenue alongside media-driven revenue, and ties performance changes to specific causal drivers such as promotions, seasonality, and weather.
Sellforte matches Lifesight across all five criteria in this category. For buyers whose evaluation centers primarily on historical performance analysis and causal explanation, the two platforms are equally capable.
3. Channel-Level Optimization with Conversational AI (Lifesight: 5/5, Sellforte: 4.5/5)
| Criterion | Lifesight | Sellforte |
|---|---|---|
| 3.1 AI recommends optimal budget allocation by channel | 1 | 1 |
| 3.2 AI forecasts total revenue based on optimal budget allocation | 1 | 1 |
| 3.3 AI provides miROAS and response curves for each channel | 1 | 0.5 |
| 3.4 AI supports basic custom scenario planning (e.g., "what if I cut Meta by 20%?") | 1 | 1 |
| 3.5 AI supports advanced scenario planning in natural language (constraints, multi-dimensional optimization) | 1 | 1 |
| Category total | 5 / 5 | 4.5 / 5 |
Lifesight earns a perfect 5 out of 5. Lifesight's AI recommends optimal budget allocation across channels, forecasts total revenue under the recommended allocation, provides marginal incremental ROAS and saturation response curves per channel through the conversational interface, and supports both basic and advanced scenario planning in natural language including constraints and multi-dimensional optimization.
Sellforte scores 4.5 out of 5, with the small gap on miROAS and response curve presentation via the conversational AI interface specifically. Both platforms are strong choices for channel-level optimization, and for most buyers this single criterion difference will not be decisive.
4. Campaign and Ad Set-Level Optimization with Conversational AI (Lifesight: 0/6, Sellforte: 4/6)
| Criterion | Lifesight | Sellforte |
|---|---|---|
| 4.1 AI provides incremental ROAS of each campaign and ad set | 0 | 1 |
| 4.2 AI compares incremental ROAS to last-click and ad platform attribution ROAS | 0 | 1 |
| 4.3 AI provides miROAS for each campaign and ad set | 0 | 0.5 |
| 4.4 AI recommends optimal spend for each campaign and ad set | 0 | 0.5 |
| 4.5 AI recommends optimal bid value for each campaign and ad set | 0 | 0.5 |
| 4.6 AI provides pre/post analysis for each bidding change | 0 | 0.5 |
| Category total | 0 / 6 | 4 / 6 |
This is one of the sharpest gaps in the comparison. Lifesight scores 0 across all six criteria in this category. Its conversational AI operates at the channel level and does not surface incremental ROAS, miROAS, or spend and bid recommendations at the campaign or ad set level. There is no pre/post analysis for executed bidding changes. For advertisers who want to translate channel-level budget recommendations into actionable campaign-level execution, Lifesight does not provide a path within the platform.
Sellforte scores 4 out of 6. Its AI surfaces incremental ROAS for each campaign and ad set, compares it to last-click and platform-reported ROAS, and provides partial coverage of miROAS, spend recommendations, bid recommendations, and pre/post analysis at the campaign and ad set level. This makes Sellforte the stronger choice for advertisers who need incremental measurement and optimization at the campaign and ad set level.
The practical implication is significant. A budget shift from Meta to TikTok at the channel level is not actionable until it is translated into specific bid and spend changes across individual campaigns and ad sets. Lifesight leaves that translation step entirely outside the platform.
5. Incrementality Testing with Conversational AI (Lifesight: 0/6, Sellforte: 2.5/6)
| Criterion | Lifesight | Sellforte |
|---|---|---|
| 5.1 Summarizes all incrementality tests done by the company | 0 | 0.5 |
| 5.2 Provides in-depth report for geo tests | 0 | 0.5 |
| 5.3 Provides in-depth report for own media A/B tests | 0 | 0.5 |
| 5.4 Provides in-depth report for Conversion Lift tests | 0 | 0.5 |
| 5.5 Provides testing recommendations on which channels to test | 0 | 0.5 |
| 5.6 Provides test design recommendations | 0 | 0 |
| Category total | 0 / 6 | 2.5 / 6 |
Lifesight scores 0 across all six criteria in this category. Although the Lifesight platform covers geo-lift testing as part of its Unified Measurement OS, we could not find evidence that geo test results are accessible or reportable through Lifesight MIA's conversational AI. The platform also lacks a unified incrementality experiment library covering conversion lift tests and own media A/B tests. The conversational AI does not summarize past tests, provide test design guidance, or recommend which channels to test.
Sellforte scores 2.5 out of 6 in this category. This reflects the fact that Sellforte's broader incrementality testing platform capabilities are still being progressively integrated into the conversational AI interface, with full integration expected during 2026. The underlying Sellforte platform does cover geo tests, A/B tests, and conversion lift tests with a unified experiment library, and the MMM is calibrated with incrementality tests. Buyers who evaluate the broader Sellforte platform rather than just the current AI interface will find these capabilities available today.
6. Agentic Execution and Autonomy (Lifesight: 0.5/4, Sellforte: 2/4)
| Criterion | Lifesight | Sellforte |
|---|---|---|
| 6.1 AI can push budget and bidding changes to Meta, Google, and TikTok APIs | 0 | 0.5 |
| 6.2 AI's level of autonomy for execution can be configured | 0 | 0.5 |
| 6.3 AI has specialized agents for distinct workflows | 0.5 | 1 |
| 6.4 Proactive insights and alerts via AI | 0 | 0 |
| Category total | 0.5 / 4 | 2 / 4 |
Both platforms have limited agentic capabilities compared to the leaders in this category. Lifesight scores 0.5 out of 4, with only partial credit for having specialized agents for distinct workflows. We could not find public evidence of Lifesight's ability to push budget or bidding changes directly to Meta, Google, or TikTok APIs, and there is no documented configurable autonomy level or proactive alerting through Slack or email.
Sellforte scores 2 out of 4. It has distinct specialized agents for planning, buying, and experimentation workflows, and partially supports ad platform API execution and configurable autonomy levels, with full autonomous agent capabilities yet to be announced. Neither platform currently offers proactive alerting via Slack or email through the conversational AI interface.
7. AI UX and Conversational Interface (Lifesight: 5/8, Sellforte: 6.5/8)
| Criterion | Lifesight | Sellforte |
|---|---|---|
| 7.1 Includes tables and charts inline in AI responses | 1 | 1 |
| 7.2 AI has conversation history and multi-turn context retention | 1 | 1 |
| 7.3 Allows convenient export of AI outputs (e.g., PDF, Slides, CSV) | 1 | 0.5 |
| 7.4 AI grounds answers in data, providing links from outputs to deep-dive dashboards | 0.5 | 1 |
| 7.5 AI operates in embedded and multi-window mode (chat and dashboard side-by-side) | 0 | 1 |
| 7.6 AI shows its reasoning steps and logic while answering | 0.5 | 1 |
| 7.7 AI handles non-English questions in production | 0 | 1 |
| 7.8 AI can be accessed via MCP server or external LLM | 1 | 0 |
| Category total | 5 / 8 | 6.5 / 8 |
Both platforms offer a solid conversational experience in this category. Lifesight scores 5 out of 8, with inline tables and charts, multi-turn context retention, full export to PDF and Slides and CSV, and MCP server access that allows external LLMs such as Claude and ChatGPT to query Lifesight directly. Its main gaps are the absence of a side-by-side embedded mode, partial coverage of data-grounded deep links from AI outputs to dashboards, partial transparency on reasoning steps, and no verified production support for non-English queries.
Sellforte scores 6.5 out of 8. It includes inline charts and tables, multi-turn context retention, deep links from AI outputs into dashboards, a side-by-side embedded mode, and reasoning steps shown while answering. It also supports at least five major languages in production, which is a significant differentiator for multi-country retail and ecommerce organizations. Lifesight leads on export convenience and MCP server access; Sellforte leads on reasoning transparency, data grounding, embedded mode, and multilingual support. Sellforte currently lacks an MCP server for external LLM access.
8. Analytical Backbone (Lifesight: 3/4, Sellforte: 4/4)
| Criterion | Lifesight | Sellforte |
|---|---|---|
| 8.1 AI provides deterministic, model-backed answers with Bayesian MMM as backbone | 1 | 1 |
| 8.2 Bayesian MMM used by the AI is calibrated with incrementality tests | 1 | 1 |
| 8.3 AI reports model validation and other modelling KPIs | 1 | 1 |
| 8.4 Model calibration and configuration settings (e.g., priors) are auditable and editable in a self-serve UI | 0 | 1 |
| Category total | 3 / 4 | 4 / 4 |
Lifesight performs strongly in this category, scoring 3 out of 4. Its AI is backed by a Bayesian MMM that is calibrated with incrementality tests, and the platform reports model validation KPIs. The calibration of Lifesight's MMM with geo lift experiments is a notable strength that distinguishes it from platforms such as Mutinex, where the MMM is not grounded in causal experiment evidence.
The gap versus Sellforte is on model auditability: Lifesight's model calibration and configuration settings, such as priors, are not auditable or editable in a self-serve UI. Sellforte scores a perfect 4 out of 4, with model priors and calibration parameters that are inspectable and editable directly by customers. For enterprise analytics teams that want to configure and verify the model assumptions driving the AI's recommendations, Sellforte offers more transparency and control.
9. Enterprise-Grade Platform (Lifesight: 1.5/7, Sellforte: 7/7)
| Criterion | Lifesight | Sellforte |
|---|---|---|
| 9.1 At least 10 public reference customers from $1B+ revenue brands | 0.5 | 1 |
| 9.2 SOC 2, ISO 27001, or audited IT security by a third-party cyber security auditor | 1 | 1 |
| 9.3 Data residency: geography option between US and EU | 0 | 1 |
| 9.4 Multi-cloud: option between AWS, GCP, and Azure | 0 | 1 |
| 9.5 Supports single sign-on (SSO) for enterprises | 0 | 1 |
| 9.6 Customer data is not shared to a third-party LLM (LLM deployed in customer-specific cloud container) | 0 | 1 |
| 9.7 Hands-on demo or trial of the AI is available without sales-call gating | 0 | 1 |
| Category total | 1.5 / 7 | 7 / 7 |
This is the widest gap in the comparison. Lifesight scores 1.5 out of 7 on enterprise-grade platform criteria. It holds SOC 2 compliance and has partial credit for large brand references, but we could not confirm SSO support for enterprise authentication, customer data isolation from third-party LLM APIs, US or EU data residency options, multi-cloud deployment, or a publicly accessible hands-on demo of the AI without a sales call.
Sellforte scores a perfect 7 out of 7. It has a strong list of public $1B+ revenue reference customers, holds IT security certification, offers both US and EU data residency options, supports multi-cloud deployment across AWS, GCP, and Azure, supports SSO, runs LLM inference inside isolated customer-specific cloud infrastructure so customer data does not egress to third-party LLMs, and provides a public hands-on demo without a sales call. Organizations operating under enterprise procurement policies, particularly multi-region or heavily regulated organizations, should verify whether Lifesight's gaps on data residency, SSO, and LLM data isolation create procurement blockers before committing.
Where Lifesight Wins
Lifesight's strongest areas are channel-level optimization and historical performance insights. It scores a perfect 5 out of 5 in both categories, matching Sellforte across those foundational measurement and optimization use cases. For organizations whose primary need is a conversational AI interface for channel-level spend optimization grounded in an incrementality-calibrated MMM, Lifesight delivers well.
Lifesight has an advantage in MCP server access. It exposes data via MCP, allowing external LLMs such as Claude and ChatGPT to query Lifesight directly. This is a relevant differentiator for teams that want to integrate measurement data into broader AI workflows outside the Lifesight platform. Lifesight also matches Sellforte on marketing data reporting, and supports full export to PDF, Slides, and CSV, which is a practical advantage for teams that regularly share AI outputs with stakeholders outside the platform.
Where Sellforte Wins
Sellforte's advantage is its campaign and ad set-level optimization, enterprise-grade platform, and incrementality testing capabilities. It covers all nine evaluated categories with no zeroes, and leads substantially in the categories that matter most for large enterprise marketing teams.
The gaps are most pronounced in four areas. On campaign and ad set-level optimization, Lifesight scores 0 out of 6 while Sellforte scores 4 out of 6. On enterprise-grade platform, Lifesight scores 1.5 out of 7 while Sellforte scores a perfect 7 out of 7. On agentic execution and autonomy, Lifesight scores 0.5 out of 4 while Sellforte scores 2 out of 4. On analytical backbone, Lifesight scores 3 out of 4 while Sellforte scores a perfect 4 out of 4. Sellforte also leads on reasoning transparency, data grounding, multilingual support, and embedded side-by-side mode in the conversational interface.
Which Should You Choose?
Choose Lifesight if: your primary need is a conversational AI interface for channel-level MMM-based spend optimization grounded in an incrementality-calibrated MMM, you do not require campaign and ad set-level execution, and enterprise IT requirements such as SSO, data residency, and multi-cloud deployment are not procurement blockers. Lifesight is a reasonable fit for mid-market brands with a mature channel-level measurement practice who want conversational access to their MMM insights.
Choose Sellforte if: you need campaign and ad set-level spend and bid optimization through the conversational AI, you run incrementality tests of any type and want them integrated into your measurement platform, and you want an MMM calibrated with incrementality tests. Sellforte also supports multi-region data residency, multi-cloud deployment, SSO, and a self-serve model configuration UI. Sellforte is the stronger fit for retail and ecommerce organizations with large enterprise IT requirements, multi-country operations, or teams that need to act on optimization recommendations at the campaign and ad set level.
Frequently Asked Questions
What is Lifesight used for?
Lifesight is a marketing measurement platform with a Unified Measurement OS covering Marketing Mix Modeling and geo-lift testing, with a conversational AI interface called Lifesight MIA. Its primary use cases are marketing data reporting, historical performance analysis, and channel-level spend optimization through natural language. Lifesight does not cover campaign and ad set-level optimization, and its incrementality testing capabilities are not surfaced through the conversational AI interface.
Does Lifesight support campaign and ad set-level optimization?
No. Based on our evaluation of publicly available documentation, Lifesight does not provide incremental ROAS, miROAS, spend recommendations, or bid recommendations at the campaign or ad set level through its conversational AI interface MIA. Its AI operates at the channel level only. Sellforte covers this level of optimization through its conversational AI interface.
Does Lifesight support incrementality testing through its conversational AI?
No. Although the Lifesight platform covers geo-lift testing, we could not find evidence that geo test results are accessible or reportable through Lifesight MIA. The platform also lacks a unified incrementality experiment library covering conversion lift tests and own media A/B tests. Organizations that want conversational access to incrementality test insights will need a different solution.
What are the best Lifesight alternatives?
The closest alternatives depend on your priorities. Sellforte covers a broader set of capabilities including campaign-level optimization, incrementality testing, and a calibrated MMM with a full enterprise platform. Mutinex is a channel-level MMM platform with a similar score to Lifesight in that category, though without an incrementality-calibrated MMM. Triple Whale leads on agentic execution and conversational UX. For teams specifically seeking incrementality testing platforms, Measured and Haus are also worth evaluating.
Is Lifesight good for enterprise?
Lifesight holds SOC 2 compliance and has some large brand references, which are meaningful baseline credentials. However, it scores 1.5 out of 7 on our enterprise platform criteria. We could not confirm SSO support, customer data isolation from third-party LLM APIs, US and EU data residency options, or multi-cloud deployment across AWS, GCP, and Azure, all of which are common requirements in enterprise RFPs. Organizations with strict data governance requirements or multi-region operations should verify whether these gaps create procurement blockers before committing to Lifesight.
How does Lifesight compare to Sellforte on channel-level optimization specifically?
Lifesight and Sellforte are close in this category, with Lifesight scoring 5 out of 5 versus Sellforte's 4.5 out of 5. Both platforms recommend optimal budget allocation by channel, forecast revenue under the recommended allocation, and support advanced scenario planning in natural language. Lifesight earns the slight edge by providing response curves visualizations per channel through its conversational AI interface. For buyers whose primary need is channel-level optimization, the difference between the two is small.
Is Lifesight's MMM calibrated with incrementality tests?
Yes. Based on publicly available information, Lifesight's Bayesian MMM is calibrated with incrementality tests, specifically geo-lift tests. This is a meaningful strength that distinguishes Lifesight from platforms such as Mutinex, where the MMM is not grounded in causal experiment evidence. Sellforte's MMM is also calibrated with incrementality tests and additionally includes a self-serve UI for inspecting and configuring calibration inputs.
Lifesight vs Sellforte: which is better for retail and ecommerce?
Sellforte is the stronger fit for retail and ecommerce organizations. Sellforte has been built specifically for retail and ecommerce, with enterprise reference customers including Lidl, C&A, Douglas, bonprix, and Tchibo. It covers offline store sales alongside ecommerce, supports campaign and ad set-level optimization relevant to performance marketing teams in these industries, and offers multilingual production support for multi-country retailers. Lifesight is a reasonable alternative for organizations whose primary need is channel-level optimization and who do not require the enterprise IT features or campaign-level granularity that Sellforte provides.
Further Reading
7 Best AI Tools for MMM and Incrementality Testing in 2026: An In-Depth Comparison
The Rise of Agentic MMM: How AI Is Transforming Media Optimization
What is Incrementality Testing? Guide for Marketers
Marginal Incremental ROAS (miROAS): What is it? And why does it matter to marketers?
Commentary
Snapshot in time. Vendor capabilities evolve quickly. This comparison reflects publicly available information at the time of publication.
Corrections welcome. We will revise this comparison as new information becomes available. If a vendor believes a score is inaccurate, we welcome corrections with supporting documentation. Please email sales@sellforte.com.
Recommendation for buyers. Use this comparison as a structured starting point for your own evaluation, not as a final answer. We recommend conducting evaluation calls or demos with the vendors to verify fit against your organization's specific requirements.
Authors
Lauri Potka is the Chief Operating Officer at Sellforte, with over 15 years of experience in Marketing Mix Modeling, marketing measurement, and media spend optimization. Before joining Sellforte, he worked as a management consultant at the Boston Consulting Group, advising some of the world's largest advertisers on data-driven marketing optimization. Follow Lauri in LinkedIn, where he is one of the leading voices in MMM and marketing measurement.
Emil Kauppi-Hoyer is Sellforte's Lead AI Engineer, leading the development of Sellforte AI. With a data science background, Emil belongs to Sellforte's engineering leadership. During his Sellforte career, Emil has implemented Marketing Mix Models and incrementality testing solutions to Sellforte's customers, while at the same time developing Sellforte's AI capabilities. Follow Emil in LinkedIn.
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Juha Nuutinen is the Chief Executive Officer and co-founder at Sellforte, with over 15 years of experience in optimizing marketing spend and promotional activity for the largest advertisers in the world. Before co-founding Sellforte, he worked as a management consultant at the Boston Consulting Group, specializing in promotion optimization. Follow Juha in LinkedIn, where he is actively sharing his views on marketing measurement.