using big data & analytics to enhance marketing roi & drive revenue growth
DESCRIPTION
This Deck was presented by Mr. Guha Athreya, Senior Manager, Customer Analytics in PAW Boston on 30th September, 2013. AbsolutData is a global leader in applying analytics to drive sales and increase profits for its customers. AbsolutData has built strong expertise and traction with Fortune 1000 companies across 40 countries. We specialize in big data, high end business analytics, predictive modeling, research, reporting, social media analytics and data management services. AbsolutData delivers world class analytics solutions by combining their expertise in industry domains, analytical techniques and sophisticated tools. Visit us here : www.absolutdata.comTRANSCRIPT
© AbsolutData 2013
Using Big Data & Analytics To
Enhance Marketing ROI & Drive
Revenue Growth
Presenter: Guha Athreya
Sr. Manager, Customer Analytics
Venue: Predictive Analytics World, Boston
Sep 29 – Oct 3, 2013
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AbsolutData Snapshot
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• Help forward looking organizations excel through optimal use of data
• Deliver consulting-oriented advanced analytics services to a global client base
Services Provided
CRM
Analytics
Marketing Effectiveness Analytics
Data Visualization & Reporting
Market Research & Business Research
Big Data
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The challenge in driving Marketing ROI and enhancing Revenue Growth
We can only improve what we can measure…
…today, adding the “claimed impact” across on-line and off-line channels results in a number greater than the revenue of the enterprise
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The Root Causes….
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Revenue is impacted by many drivers beyond just Media & Marketing
Investments
Media channels work together, but each channel reports all of the synergies
Media• On-line• Offline
Other Marketing Effort• CRM
• Pricing• Distribution
External• Competition • Technology• Macro economics
Operations• Supply• CSAT
Revenue
Prediction
Misguided modeling efforts result in over-fitting History but miss Prediction Accuracy
History
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A Holistic Approach to Revenue Attribution
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Other Drivers
Services, Capacity, Quality etc.
TV Radio PrintSearchSocial Media
Off-LineOn-Line
Strategic Business Units
Brands / Regions / Channels
Loyalty Others
One to One
Marketing
Enterprise Revenue
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Two Pre-requisites for Revenue Attribution using Big Data
Organized integration of disparate data sources
• Transactions
• On-line behavior
• Sales and channels
• Media spend and impressions
• Social media and sentiment
• 3rd Party
• Competition
• Customer satisfaction
• Brand equity
• Other primary & secondary research
• Loyalty program
• Direct Marketing
• Macro economics
Data should determine choice of tools and techniques (not vice versa)
• Ensemble models and a hierarchical approach work best
• Modeling methodologies including OLS, HB reg, Pathway Analysis and Discrete Choice Models
• Tools and Platforms include R, Excel VBA, Java etc
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Point of Arrival – A Dashboard with Scenario Planning & Simulation Capabilities enables Optimization
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Model Validation & Updating
Volume Drivers What – if Simulation
On-line Application
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Building A Global Knowledge Base across Regions & Industry Verticals
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…Consumer Durables…Telecom…Electronics….Retail…CPG…Banking…E-Commerce…
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THANKYOU