How the ID graph enables people-based marketing
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Transcript of How the ID graph enables people-based marketing
Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |
How the ID Graph Enables People-‐Based MarketingDavid HibbsSr Manager, DMP StrategyOracle Marketing Cloud & Oracle Data Cloud
Confidential – Oracle Internal/Restricted/Highly Restricted
Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |
“Half the money I spend on advertising is wasted; the trouble is I don’t know which half.”
– John Wanamaker
2
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Old School MarketingChannel based
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• Fans / Followers• Media Content• Segmentation strategy• Typically closed ecosystem, shiny object
• Automated triggers• Promotional / Newsletters• Segmentation strategy• Known customers
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• Online, intent based• Anonymous• Traditionally dominated by Google, rapidly changing (Voice, AI)
Budgets & Marketing Based on Channels
One Customer Profile?
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Adding to it, over 90% of purchase activity is still occurring offline…
Offline
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Online
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It’s only getting more complicated
*”Understand the cross-‐device consumer in just 15 minutes”, Conversant
On average, a consumer now uses 3 devices and can have well over 6 IDs
associated to them
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More platforms, more unique IDs. Proliferation of closed web and need to login
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How many IDs do YOU have?
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As consumers move across devices and channels, Marketers struggle to target the right audience
11%Marketers have high
confidence in the audience they’re targeting.
-‐Nielsen
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What happens if you can’t accurately match IDs or lead with people based marketing?
You reach instead of Wasted media spend
ControlYour target ends up in
instead of Inaccurate resultsTest
You can only reach via instead of Limited cross-‐
channel reach
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DEVICES
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Marketers need a solution that ties real people across devices and channels
CHANNELSIDENTITY
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Modern MarketingCustomer Lead Marketing
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Mobile IDs
Cookie IDsSet Top Box
Email IDs
Social IDs
Typical Consumer – IDs & Data
She checks her Facebook feed while at work
Reads the news on her mobile device
She watches her favorite shows on her set top box
Signs up for ongoing email communications
Browses website on her personal computer
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Centralize Data to Enable People Based Marketing
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Add Value
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Centralize Data In “What You Know”Multiple data sources, aggregated into a single, centralized platform
1st (your data), 2nd (partner data),3rd (paid for data assets)
Website, display, video, mobile, offline & store
Anonymous & known data, structured & unstructured
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Centralize Data: ID Graph Brings it All Together
Why is this important?• Comprehensive View
of the customer
IDs Being Captured?• App login• Website login• Cookie• Offline capture (email)• Loyalty Card
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• Behavior:– Browsed jeans– Is considered inactive in email (no opens/clicks)
– Frequent app user
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• Purchase– Purchased jeans in store in the past 3 months
– Typically purchases in-‐store 3 times a year
– Avg lifetime value– Lives in Louisville
Centralized Data & IDs – Limited to your 4 walls
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• Behavior:– Browsed jeans– Is considered inactive in email (no opens/clicks)
– Frequent app user
• 3rd Party– Has recently been searching for active wear
– Has an interest in running based on frequenting running sites/blogs
– Woman, 25-‐35Oracle Confidential – Internal/Restricted/Highly Restricted 18
• Purchase– Purchased jeans in store in the past 3 months
– Typically purchases in-‐store 3 times a year
– Avg lifetime value– Lives in Louisville
• 3rd Party– Super buyer score (high value)
– Heavy purchaser of running and workout gear
– Fashionista
Centralized Data & IDs – Combined with 3rd Party Data
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Centralized Data & IDs Drives People Based Marketing
Lives in Midwest
Active Lifestyle
Women 25-‐35
Active app user
Purchases three times a year
High Lifetime Value
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Centralized Data Out “What You Do”Data to inform all your marketing communications
Display Programmatic, Premium, Portals
Video in Banner, in Page, Connected TV
Social Facebook, Twitter, LinkedIn, etc.
Mobile iOS, Android, Apps, Browser
Commerce Site Optimization, Landing Pages
Other CRM, Direct Mail, Search
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How to Get StartedHow to lead with a people first strategy
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Identify Collect Centralize Define Activate Optimize
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People Based Marketing Framework
ID Management / ID Graph
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Identify the right data• What data do you want to be capturing? • Where can you capture data?–Website: Browse categories, abandon cart, purchases, email address, account, cookies, device type–Offline: Purchases, email address, account, call center–Mobile: Account, email address, purchases, MAIDs– Engagement: Email engagement, media engagement, app engagement
• KPI’s – How will success be measured?– Are you capturing the right data to measure success?
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Identify Collect Centralize Define Activate Optimize
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Collect the data• Are you using page tags to capture events from the web?• Are you capturing PII at point of sale with purchases?• For mobile apps, are you capturing interaction with your apps?
– Can you enable this with your team?– Could you leverage a partner?–What ID is being captured? Are there others?
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Identify Collect Centralize Define Activate Optimize
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Where will the data reside?• CRM system / Data Warehouse– Centralized: customer ID/#– Typically a hub for customer related data–OnRamp can be used to bring CRM files online to be reached in digital channels– Data Append to enrich customer profile– Sometimes difficult or slow to get various types of data in / out / segmentation
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Identify Collect Centralize Define Activate Optimize
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Where will the data reside?• Email marketing platform– Centralized: email address–OnRamp, FB and other media partners allow you to use email address in their platforms – Usually tied closely with web behavior already (welcome email, browse, abandon cart, etc)– Data Append to enrich customer profile–May have limitations on storage of data
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Identify Collect Centralize Define Activate Optimize
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Where will the data reside?• Data Management Platform (DMP)– Centralized: user ID– Designed to be central hub for data– Advanced DMPs have ID Graph features built-‐in (bring in multiple ID types)–Media platform agnostic– 3rd party data built in for analysis and targeting, Look-‐alike modeling– Depending on who / how it’s used could be viewed as costly
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Identify Collect Centralize Define Activate Optimize
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Focus on the WHO you want to be targeting and with WHAT content
Personalize: Use data to personalize the creative
Ability to focus on segmentation strategies:
Prospecting Examples:• Customer Profile / Look-‐alike• Fashionistas• Dog food buyers• Suppress: Known customers
Retention Examples:• Winback / reactivation• New customers• At-‐risk / churn reduction• Recent purchasers
Identify Collect Centralize Define Activate OptimizeDefine: People Based Strategy
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Ad Networks / DSPs / SSPs
RegMatch
Attribution & Optimization
Agencies
Ad Serving / Exchanges
Media
Identify Collect Centralize Define Activate OptimizeActivate: Channels / Devices
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Optimize based on what worked or didn’t work. Refine approach and continue to improve your people-‐based marketing
Did our people (audiences) take the desired actions? Make a purchase? Sign up? Visit page?
Bring the latest engagement data back into the platform to revise your people based strategies
People based marketing makes it easier to track back to results. KPIs can be used to track performance of different groups
Identify Collect Centralize Define Activate OptimizeOptimize / Measurement
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“Half the money I spend on advertising is wasted; the trouble is I don’t know which half.”
– John Wanamaker
31