Case study · Financial services

Marketing Optimization

Modeled what drives inquiries, pre-qualified buyers and sales — nationally and by DMA — and rebalanced marketing spend.

Client

A major financial services company

Industry

Financial services

Result

$100MM improvement in marketing ROI

Capability

Analytic & Consulting Services

The situation

What the client was facing.

The client wanted to optimize marketing decisions at every level — national, market, DMA and local agent — and to understand how media, messages and marketing tools compared.

  • Decisions needed at four levels

  • Many media and messages to compare

  • Spend not tied to outcomes

Our approach

How we got there.

Methods used

Marketing mix modelsWhat-if scenariosDMA-level analysis
  1. 01

    Built statistical models for inquiries, pre-qualified buyers and completed sales

  2. 02

    Assessed macro, competitive and company variables — including pricing, impressions and media spend

  3. 03

    Ran the analysis at national and DMA level

  4. 04

    Outlined implications for each outcome

  5. 05

    Developed guidelines for optimal marketing spend

Value created

$100MM

improvement in marketing ROI

  • Key drivers identified for inquiries, pre-qualified buyers and sales

  • The highest-impact levers tested with what-if scenarios

  • Clear guidelines for the marketing program

  • Recommendations on where to add — and where to cut — spend

Want a result like this one?

A 30-minute walkthrough of Gazelle on a category like yours.