Haensel AMS

Haensel AMS (Advanced Mathematical Solutions) is a marketing measurement firm that specializes in custom analytics for direct-to-consumer brands spending over $10M annually on media.

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They build custom marketing measurement systems that run on a brand's own data infrastructure to optimize ad spend.

Haensel AMS (Advanced Mathematical Solutions) is a marketing measurement firm that specializes in custom analytics for direct-to-consumer brands spending over $10M annually on media. The company embeds its team with clients to build proprietary tracking and attribution models that run on the client's own cloud infrastructure, avoiding the black-box approach of most marketing analytics platforms. Their methodology combines first-party tracking (to stitch together fragmented customer journeys), multi-touch attribution (MTA) trained on client-specific data, and a Bayesian media-mix model (MMM) that retrains bi-weekly.

This approach targets brands facing growth plateaus where generic tools fail to show incrementality or guide spend decisions. Haensel AMS operates as a services firm rather than a SaaS product, with engagements lasting multiple years. The company lists clients like CookUnity, Thuma, and Paula's Choice, though revenue and headcount figures are not publicly disclosed. Their differentiation lies in retaining no client data or IP—models and reports live entirely within the client's stack, which reduces churn but limits scalability compared to platform businesses.

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Who buys this

  • DTC brands spending $10M+ annually on paid media
  • E-commerce companies with fragmented customer journeys
  • Growth-stage brands preparing to double ad budgets
  • CFOs needing defensible marketing ROI analysis
  • Performance marketers frustrated with platform attribution gaps

Publicly disclosed clients

  • CookUnity
  • Thuma
  • Paula's Choice
  • Transavia
  • KoRo
  • ResortPass
  • Unobravo

Strengths and what to watch

Strengths

  • Client-owned IP: Models and data stay on client AWS/GCP, reducing lock-in
  • PhD-heavy team focused on Bayesian methods rather than off-the-shelf analytics
  • Multi-year retention with embedded teams, unlike typical agency churn

Watch for

  • Services model may cap growth vs. scalable SaaS platforms
  • Dependence on client cloud costs and data hygiene
  • Niche focus on $10M+ spenders excludes SMB market

Key Information

Founded
2014

Frequently Asked Questions

What does Haensel AMS do?

Haensel AMS builds custom marketing measurement systems for brands spending over $10M annually on ads. They embed teams to create proprietary tracking and attribution models that run on clients' own cloud infrastructure, combining multi-touch attribution and Bayesian media-mix modeling for precise spend optimization.

How is Haensel AMS different from other marketing analytics platforms?

Unlike SaaS platforms, Haensel AMS operates as a services firm building client-owned models that stay on their AWS/GCP infrastructure. This eliminates data lock-in and uses Bayesian methods tailored to each brand's data, focusing on incrementality for growth-stage companies.

What types of companies use Haensel AMS?

Their clients are primarily direct-to-consumer brands spending $10M+ annually on media, including CookUnity and Thuma. They specialize in e-commerce companies with fragmented customer journeys and growth-stage brands preparing to scale ad budgets with defensible ROI analysis.

How does Haensel AMS handle marketing attribution?

They combine first-party tracking to unify customer journeys with multi-touch attribution trained on client-specific data. This works alongside a Bayesian media-mix model that retrains bi-weekly, avoiding generic platform approaches that often fail to show true incrementality for complex spend patterns.

Why would a brand choose Haensel AMS over SaaS analytics tools?

Brands needing transparent, owned IP for marketing measurement choose Haensel AMS because models and reports live entirely in their own stack. This reduces vendor lock-in and provides tailored insights for high-spend scenarios where off-the-shelf tools underperform.

What are the limitations of Haensel AMS's approach?

Their services model has lower scalability than SaaS platforms and depends on client cloud costs and data quality. The focus on $10M+ spenders excludes SMBs, and multi-year engagements require significant commitment compared to plug-and-play analytics tools.

Sources

  1. haensel-ams.com — Client list, service model description, and differentiation claims
  2. www.sec.gov — Indirect reference to fiscal year structure
  3. www.sec.gov — Regulatory context for financial reporting
  4. www.sec.gov — Background on investment company reporting standards