Our approach

From clean data to compounding growth.

Three pillars, one outcome: marketing decisions backed by data you can trust.

Every engagement draws on some mix of three things: a clean data foundation, measurement you can trust, and a growth strategy built on both.

Most clients come to us for the third pillar — a specific acquisition, loyalty, or growth problem. Getting there well usually means touching the first two along the way. We scope engagements around your actual problem, not a fixed methodology.

Data Foundations & Infrastructure

Getting the data clean and connected. Before any strategy can work, the data underneath it has to be trustworthy — flowing correctly between systems, structured consistently, and actually usable by the people making decisions.

This is rarely the headline of an engagement, but it's almost always part of it. We've untangled CRM and marketing-ops environments, audited third-party data spend, and built first-party data strategies for clients ranging from global CPG brands to B2B service providers.

  • Data landscape & martech stack audits
  • Marketing ops & CRM cleanup
  • Systems integration & connectivity reviews
  • Zero- & first-party data acquisition strategy
Aramark
McCain
TruGreen
Unilever

Measurement & Visibility

Making the data trustworthy — and visible to the right people. We work from an "Actions → Outputs → Outcomes" philosophy that cuts through cluttered dashboards and vanity metrics, so each level of the organization sees only what it actually needs.

This is also where we modernize the analytics you already run — enhancing traditional approaches like RFM and media mix modeling with AI, and aligning consumer research back to your first-party data.

  • Measurement frameworks (actions → outputs → outcomes)
  • Dashboard rationalization
  • Modernized RFM & media mix modeling
  • Consumer research aligned to first-party data
Scotts Miracle-Gro
Red Robin
Stanley Steemer
Unilever

Growth & Loyalty Strategy

Making the data make money. This is the work most clients actually hire us for: acquisition strategy, campaign design and execution, and loyalty program growth, grounded in predictive analytics rather than guesswork.

For clients like Costco, that's meant acquisition strategy and full campaign design and execution, built on a foundation of predictive analytics. For loyalty-driven brands, it's meant knowing whether the real opportunity is new-member enrollment or activating members who already joined — and building the customer lifetime value models and personalization strategy to act on it.

  • Acquisition strategy & campaign design/execution
  • Loyalty program design & optimization
  • Customer lifetime value & predictive modeling
  • Personalization across touchpoints
  • AI-driven demand & revenue forecasting
Costco
McDonald's
Walgreens
Coca-Cola
Krispy Kreme
Giant Eagle
Scotts Miracle-Gro
Unilever
Aramark
TruGreen
Stanley Steemer
McCain
Red Robin

Already know exactly what you need?

Our twelve nventiv Schemas™ are structured, named frameworks — refined over 15+ years — built for a specific, well-defined challenge. Skip the discovery conversation and go straight to the methodology.

Browse all twelve Schemas →

Not sure which pillar fits your challenge?

Let's talk through it. Most engagements start with a 30-minute discovery call.