Analytic Partners did not start out as a software or SaaS business; rather, its shift toward a hybrid “Software-with-a-Service” model occurred gradually over the past decade through a deliberate pivot from traditional boutique consulting toward technology-driven analytics.
Key milestones in that transition include:
Key Timeline of the Transition
- 2000–2010s (Boutique Analytics Consulting):
Founded in 2000 by Nancy Smith, Analytic Partners originally operated as a traditional, high-touch marketing analytics consultancy, manually delivering custom Marketing Mix Modeling (MMM) projects for enterprise clients.
Built In
- 2015–2018 (The Pivot to GPS-Enterprise):
Around 2015–2017, the company made a strategic shift to productize its internal data pipelines and proprietary analytics frameworks. It launched GPS-Enterprise (GPS-E), turning what were previously one-off analytical models into an always-on, web-accessible cloud interface for scenario planning and decision-making.
- 2020 (Onex Private Equity Investment):
In 2020, private equity firm Onex made a major strategic investment in Analytic Partners. A major driver behind this investment was expanding and scaling Analytic Partners into a cloud-based software-and-services platform, cementing its position in the market as a managed SaaS solution.
Onex Corporation
- 2022–Present (Formalizing “Commercial Analytics”):
Analytic Partners formally expanded its positioning from MMM software to Commercial Analytics SaaS—incorporating broader variables like pricing, macroeconomic factors, customer lifetime value, and store operations alongside marketing spend into GPS-E.
Why They Kept the Hybrid Model
Rather than transitioning into a 100% self-serve SaaS platform (like Google Analytics or basic BI tools), Analytic Partners intentionally maintained the human element:
- Enterprise Data Complexity: Large enterprise clients (F1000 brands) frequently deal with fragmented data, requiring human data engineers to continuously validate inputs.
- Model Validation: Commercial analytics requires ongoing econometric calibration and business domain expertise that pure AI or unguided SaaS cannot reliably handle alone.