Marketing-Mix modeling is a means of mathematically linking the marketing 4 P's to business performance and revenues.   These models are the foundation for determining the returns on marketing investment and in providing a plan for maximizing the growth from your marketing investments. Bottom-Line Analytics is about getting real results.  That means engaging us will be a journey where we will discover the marketing levers of growth for your brands and business! Bottom-Line Analytics is global in scope.   Our experience covers over 35 international markets or countries in all major continents.  We also understand and know how to manage the data challenges and issues in developing markets. Bottom-Line Analytics has developed a unique and blue-ocean capability to build social media metrics into predictive models and measure social media word-of-mouth and social media marketing initiatives. Bottom-Line Analytics has a deep and broad portfolio of advanced analytics capabilities.

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Experience

35 International Markets Automotive Products Automotive Vehicles
Banking Beverage Retailing Business Delivery Services
Financial Services Cosmetics Gaming Casinos
Non-alcoholic beverages Health & Beauty Hospitality & Hotels
Packaged Food Pharmaceuticals Lotteries
Packaged Goods Quick Serve Restaurants Non-Profit Museums
Telecommunications Retailing Theme Parks

Bottom-Line Analytics provides a wide range of predictive modeling and analytics services for increasing marketing ROI:

Bottom-line Analytics Services
Our penetrating analysis based upon predictive marketing mix modeling will maximize your marketing effectiveness, accountability and marketing ROI.

1. Marketing Mix Modeling: the gold standard for marketing measurement, increasing ROI & marketing spend optimization.

2. Key Driver Modeling & Analysis. What brand image factors drive brand preference, purchase intent, etc.

3. Brand Equity Studies: Develop models of brand purchase/equity funnels to determine how marketing affects all levels of the funnel from awareness to purchase and brand bonding.

4. Price Elasticity Models and Analysis: Econometric derivation of price elasticity by brand/sku and cross competitive price effects.

5. Discrete Choice Models: special surveys to derive consumer utilities of brand features, attributes and retail price.

6. Database CRM scoring: Scoring models to align with consumer probability of response or conversion, aligned with marketing performance management.

7. CRM Analysis Upsell & Crosssell Modeling: For a multi-product or service firm, a form of datamining to determine which consumers are the best targets for selling additional products/services or trading them up to a more premium product or service.

8. Social Media & Social Media ROI Analytics; Quantifying the impact of social media Word-of-Mouth on brand sales & how individual marketing efforts affect consumer word-of-mouth on social media.

9. Sales Forecasting and Forecast Sytem Analysis: Univariate or econometric models to predict future sales, using predictive modeling.

10. Advertising & Media Analytics/Copy Test Validations: Evaluating Media Copy Quality metrics for In-Market Predictability to improve marketing productivity.

11. Market Basket Studies: A special analysis which identifies high-incidence co-occurance in terms of purchase, consumption and usage of brands and products for purpose of understanding consumer behaviors and identifying cross and up-sell opportunities.

12. Marketing KPI Development and Measurement.

by Michael Wolfe

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