The Forrester Wave™: Marketing Measurement and Optimization, Q3 2023. LEARN MORE
The 2024 Gartner® Magic Quadrant™ for Marketing Mix Modeling Solutions. LEARN MORE
The Forrester Wave™: Marketing Measurement and Optimization, Q3 2023. LEARN MORE
The 2024 Gartner® Magic Quadrant™ for Marketing Mix Modeling Solutions. LEARN MORE
Helping retail banks and financial services companies for over 15 years.
Since 1989, some of the world’s largest CPG companies have been looking to MMA as an essential marketing and media advisor. Some of the first clients at MMA were leading CPG brands with multiple brand portfolios, products, and promoted product groups. Today, MMA has evolved to include services that help address the tough business issues that CPG companies face, including marketing/media mix optimization, price and promotion and forecasting.
As a Solution for CPG Business Intelligence
Whether the product vertical is in snacks, cereals, foods, detergents, shampoos, cosmetics, toiletries, consumer healthcare or beverages, MMA has the solutions to answer the tough business questions. Typical marketing challenges in CPG include price and promotion, marketing/media planning and ROI, brand health and forecasting. MMA is able to model CPG brands at any response level, including brand, product, or promoted product group and at any geographic level in order to appropriately tackle the challenges CPG marketers face.
Tackling the Tough Business Questions with Consumer Goods Analytics
01
What is the optimal marketing budget and mix of activities to sales and profit by market and by channel?
02
What is the specific ROI of marketing investments and campaigns?
03
What are the effects and/or synergies between traditional and digital media?
04
How can I target consumer segments with the right media? Everyday price? Promotional tactics?
05
How can I identify price gaps and thresholds?
06
How are recent consumer attitudes impacting my marketing and pricing strategies? How can I get the most recent insights into consumer attitudes and loyalties embedded into my analytics?
07
What is the best balance between long term and short term activities, such brand building advertising, customer loyalty programs and promotions?
08
What is the impact of in-store activities?
09
How can I link predictive analytics to my everyday business processes to get more value from them?
10
How can companies manage marketing performance on a continuous, forward-looking basis?
11
What is the ROI opportunity for operational improvements such as pricing, assortment and distribution?
12
How will environmental, competitive and economic factors impact sales?
