Data Management Guidebook for Marketers: Winning the Digital Marketing Race with Data Optimization
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Data Management Guidebook for Marketers
Transcript of Data Management Guidebook for Marketers: Winning the Digital Marketing Race with Data Optimization
Data Management Guidebook for Marketers
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.
UnimprovedPerformance
The campaign performance remains
stagnant no matter how much resource we have
invested.
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Marketers
Digital Marketing ChallengesLike The Obstacles On The Racing Tracks
Racer: Marketer
Build Your Champion TeamTo Win the Race with Data Optimization
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Car Engine: Bidding EngineThe 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.
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Bidding Engine
DMP
Car Turbo: DMP
Win the Race with Data Optimization
Label and Consolidate DataDMP 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 RefineCar Engine: Bidding Engine
Analyze and Insight
Pit Team: Campaign Dashboard
The real-time dashboard can gain insights of market and user behavior
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
DMP: Label and Consolidate DataCar 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 Data2nd
Party Data3rd
Party Data
DMP
5 dimensions
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 InsightsPit team provides instant supports to drive the best results
Keys to Win the Racing GameFrom 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
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 AudienceFrequency
Recency Monetary
RFM Model
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