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Data Management Guidebook for Marketers: Winning the Digital Marketing Race with Data Optimization
- 1. Data Management Guidebook for Marketers
- 2. As a marketer, you are the racer in the game and need to make the right decisions in choosing the right RACING TEAM to win the champion. Tight Marketing Budget The marketing cost is getting higher. How can we show progress in results without additional investment? Limited Domain Know-how Our team has limited knowledge to manage, review, rectify the marketing campaigns effectively and efficiently. Unimproved Performance The campaign performance remains stagnant no matter how much resource we have invested. 1 2 3 Marketers Digital Marketing Challenges Like The Obstacles On The Racing Tracks
- 3. Racer: Marketer Build Your Champion Team To Win the Race with Data Optimization 1 2 Car Engine: Bidding Engine The artificial intelligence bidding engine drives and fuels up the campaigns. Data can boost up the performance Pit Team: Campaign Dashboard With advancing system, data scientists and campaign managers at Vpon can gain quick yet systematic insights for campaign optimization by processing massive data and producing numerous multi-dimensional dashboards. 3 Bidding Engine DMP Car Turbo: DMP
- 4. Win the Race with Data Optimization Label and Consolidate Data DMP helps with audience profiling and segmentation Car Turbo: DMP A.I. bidding engine with customized prediction model runs the ad campaigns effectively and continuously be refined by machine learning Predict and Refine Car Engine: Bidding Engine Analyze and Insight Pit Team: Campaign Dashboard The real-time dashboard can gain insights of market and user behavior
- 5. Prediction model will be built based on the data analytics. The DSP A.I. algorithm identifies and prioritizes the high-potential users programmatically in order to bid ad impressions via RTB and achieve better ROI. Bidding Engine: Predict & Refine
- 6. DMP: Label and Consolidate Data Car turbo uses data to boost up the performance Collecting data from advertisers’ CRM data, media data, and 3rd-party data providers and then segmenting audience 5 dimensions: - Demographics - Interest - Location - Device - App Label and consolidate data Advertisers’ data Data collected from campaign Data from 3rd party data providers 1st Party Data 2nd Party Data 3rd Party Data DMP 5 dimensions
- 7. Audience Behavior Analysis Campaign Strategy Analysis Location Analysis Photos are for illustration purpose only Monitoring and optimizing the performance with real time data Dashboard: Analyze Data & Provide Insights Pit team provides instant supports to drive the best results
- 8. Keys to Win the Racing Game From Data Optimization to Better ROI DMP : Label & Consolidate the Data Consolidating data from all sources and segmenting audience DMP Delivering ads to audience based on predictive conversion probability in order to achieve better ROI Bidding Engine : Predict & Refine Continuously Dashboard : Analyze the Data & Gain Insights Optimizing the performance with real time data
- 9. Value: ? Value: ? RFM analysis is based on the marketing axiom that “80% of your business comes from 20% of your customers.” Based on the online user behavior and purchase history, the value of users can be categorized into 8 levels which provide a strong ground for brands to formulate the user retention strategy to drive better ROI. We have learnt how to find the right audience in this issue, and next, we will show you how to hunt the most valuable audience. Stay tuned! From Beginner To Advanced Level: Hunting The Valuable Audience Frequency Recency Monetary RFM Model 7