Once campaigns have been defined, we need to use media and marketing channels to reach our prospects. The media & marketing mix should be driven by analytical approach to determine what is believed to be the lowest cost of reaching a prospect – or of closing a sale.
Categories: Above the Line, Below the Line, Thru the Line and Online
Media Types: Print, TV, Radio, Cinema, Out of Home, Internet, Mobile, Database
Metrics Covered (in Marketing KPIs and Metrics, or in the Internet Marketing Guide, all links below): Impressions, Gross Rating Points (GRPs), Cost Per Thousand Impressions (CPM), Reach/ Net Reach, Frequency, Share of Voice, Pageviews
A comprehensive model covering multiple years of marketing data, used to improve overall marketing budget allocations and gain strategic advantage
Ideally you will have 3 years of data in weekly series, with full 4P3C1E data as inputs (or independent variables) and success metrics as outputs (or dependent variables)
You can still run the model if you have at least one years data with monthly values and missing data elements, but the results will be much less accurate
Models are built using statistical techniques, usually based on least squared regression analysis. Other techniques, such as agent-based modelling, can be used as necessary
Price - Inc. promotional price impacts (such as BOGO)
Product – Inc. new products, feature changes, cust. service
Place – Details of location or channel of sale
Promotion – campaigns & media categories/costs/activities
Competition – The 4Ps of your competitors
Customers – Track segment attributes and sizes
Channel – Overall composition, size and growth of channels
Exogenous Factors – External influences such as holidays, regulation changes, SARS, Financial Crisis etc
Financial Success Metrics
Revenue
Unit Volume
Contribution Margin
Survey-Based Purchase Cycle Metrics
Purchase Intent
Brand Awareness
Brand Equity
Customer Satisfaction/ Net Promoter Score
Directly Measured Interim Metrics
Leads & lead quality
Traffic & engagement levels on website
Trade show attendees/ call center enquiries/ foot traffic
Derived Metrics
Market share
Share of wallet
Customer Lifetime Value and/ or Loyalty
1. Determine the business questions to be answered by the model
2. Determine the associated success metrics required to answer each of the business questions
3. Collect media and campaign cost and insertion/ activity data
4. Determine external data needed, such as competition, holidays, demographic & economic data
5. Clean, normalize and transform data into single model. Take into account adstocks and sellouts where
necessary
6. Build a model for each of the success metrics, and validate using triangulation of various statistical
methods
7. Calculate ROMI coefficients
8. Simulate potential marketing plans & determine potential revenue, profit and market share uplifts