Integrated Marketing ROI (IMR) Framework
Contributors (L-R) Manoj Kumar, Sujit Dora, Thyagarajan. S, (Sitting) Kavya Madhava [divider] Application of forecasting science on transaction data and aiding business decisions has been the norm in supply chain, sales, and finance departments of the company. On the other hand, marketing department applies analytics partly on transactional data and largely on research, macroeconomic, socio-cultural data for demand forecasting and planning investment mix. Even this practice limits forecasting to a single marketing KPI (say sales / consideration) for modelling and for developing an investment mix (with key focus only on advertising and promotions). This process ignores researches undertaken for identifying short term and long term potentials which play an important role while forecasting/analysing the drivers of sales. The fast growing digital and social media space and its effects are rather studied in isolation and not integrated to the investment mix planning. There is also tremendous pressure on marketing research to quantify the role of path to purchase and justify investment made on the decision making process and demonstrate visible Dollar value profits/ savings. At Meritus, we have developed Integrated Marketing Framework (IMR) a proprietary framework to integrate all the marketing data sources, KPIs and provide an integrated view of all direct/indirect and slow/fast moving influencers of demand and help companies to plan their investments better and aid in decision making. This methodology uses time series of multiple data sources to integrate in the system and not cross section or point data to integrate (like in many other traditional approaches). This framework helps the marketer optimize resource utilization for consumer targeted activities. Marketers will be able to communicate better / forecast the demand and hence will be able to plan marketing investments, production and supply accordingly. This process not only quantifies the impact of marketing investments but also drives value through an integrated view of all key KPIs (research, social buzz and all other metrics) in a single system justifying the path to purchase and research investment. Business Challenges Brand / Category Analysis Establish an integrated view of all the external factors, buzz, brand equity research data, consumer targeted activities, and resultant Business KPI (Sales) and forecast expected sales under different scenarios for the brand. Short Term and Long term effect of Marketing investments quantified Short term and long term effect of all marketing drivers (price, distribution, advertising, promotions etc.) are quantified, whereas many other slow moving drivers which are usually relegated as base sales in traditional forecasting models and decision science tools. Meritus’ IMR Framework IMR Framework assesses the impact of consumer targeted investments on a multitude of marketing KPIs and establishes the inter-relationships among them Helps understand the inter-play on POE (paid, owned and earned context) Helps understand the relationship and identify the lead indicators from the perception KPIs that effect performance It helps appreciate Market research and Marketing investments better and have better insights from the integration Methodology IMR Framework considers Brand Metric Variables as “path to purchase” KPIs and calculates the effect on the final business KPI (Sales) Traditionally followed methods use cross section / point data as an input for system of multiple KPIs, whereas IMR uses time series of multiple KPIs (Secondary KPIs)/ Inputs to evaluate the system. This adds robustness to the recommendations. These secondary KPIs are integrated into the model by establishing the effect of consumer targeted four Ps, and these (secondary) KPIs in turn affecting the final KPI. In total IMR quantifies direct and indirect impact of marketing activities on final KPI through various paths. Advanced statistical techniques have been researched, tested and applied on multiple live projects. This framework involves multiple regression equations being iterated and solved simultaneously. List of possible data sources analyzed (partial) Sales / Transaction Data Retail Audit data Marketing Investment data Brand Equity / Brand research data Macro-economic data Seasonality variables Festival & Holiday variables Paid / Earned / Owned Media Price data Competition / Supplementary Products data Case Outputs (Illustrations) The model path below depicts direct and indirect effect of marketing inputs through various paths on final KPI. Typically ROIs are seen to be 3 times the traditional ROI because of the immediate effect being captured Business users are empowered with a scenario tool which helps in quantifying the combined effect of various paths on the final KPI. Business Benefits Improves planning of marketing investments mix Helps understand and identify the key Brand Metric to be pursued Identifying the key Image Metric(s) / lead indicator(s) for future demand and build business strategies accordingly By quantifying the role of marketing inputs in building the base sales, in turn will provide true ROI of marketing efforts in long term The methodology on an average attributes 3 times ROI to marketing investments as compared to traditional mix models where the research or “Path to Purchase” KPIs are not integrated with Business KPI regressions. Meritus – Your guide to profits Meritus is the Analytics Centre of Excellence (ACoE) set up by the WPP Group, the world leader in marketing communications services Meritus services are focused on improving “Marketing Effectiveness” for clients globally. Services include marketing data management that helps in providing a view of all marketing KPIs and underlying investments; building statistical models; and dashboards for marketing decisions enabled with robust process frameworks and technology that deliver long term business value to our clients. Partial list of our services include Market ROI Solutions (Market Mix Models) Category Forecasting Portfolio Allocation and Optimization Promotion Effectiveness Evaluation Response Maximization Models CLTV and Segmentation Predictive Analytics Integrated Marketing ROI solutions Big Data visualization Meritus offers Faster  time lines  for go-to-market strategy Unparalleled experience in India and Asia Proven results, supported by client relationships that extend beyond 7 years Benchmarks to understand the results from modelling and place them in context A time tested “analytical process” to get the best measurable results from data In the last 12 months alone, Meritus engagements with clients include over 300+ brand/market focused ROI analysis and recommendations. Based in Bangalore-India, Meritus offers best value to a global clientele in terms of capabilities and cost. Reach out to us. We will sweat your data to empower you with decision making power that you did not even suspect existed.
Contributors (L-R) Manoj Kumar, Sujit Dora, Thyagarajan. S, (Sitting) Kavya Madhava [divider] Application of forecasting science on transaction data and aiding business decisions has been the norm in supply chain, sales, and finance departments of the company. On the other hand, marketing department applies analytics partly on transactional data and largely on research, macroeconomic, socio-cultural […]
Contributors (L-R) Manoj Kumar, Sujit Dora, Thyagarajan. S, (Sitting) Kavya Madhava Application of forecasting science on transaction data and aiding
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["big data", "Go", "TPU", "AI", "R", "Git", "RAG", "ViT", "analytics", "predictive analytics"]
["AI", "analytics", "RAG", "predictive analytics", "TPU", "R", "Go", "Git", "big data", "ViT"]
Venkatesh is currently Partner at Meritus Analytics, A WPP group company where he leads business development for Meritus. Venkatesh has with over 15 years of multi-market experience in services delivery and sales.
Venkatesh holds a Bachelor’s degree in economics and statistics from Osmania University and an MBA from Indian Institute of Foreign Trade, New Delhi