smart data driven crm for fmcg
DESCRIPTION
Chris Bartens from Datalicious and Andrew Wong from Reckitt Benckiser's presentation delivered at ad:tech 2014. #adtechANZTRANSCRIPT
> Reckitt Benckiser CRM <Smart data driven CRM for FMCG
> About Reckitt Benckiser (RB)
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> About Datalicious
Media Attribution & ModelingMaximise reach, awareness & increase ROI
Testing & OptimisationRemove barriers, drive sales
Boosting ROMI
Targeting & MerchandisingImprove engagement, boost loyalty
“Turning data into actionable insights to fatten the conversion funnel”
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> Datalicious clients
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> Challenge
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RB is 4th largest ad spender in AUTargeting ALL female grocery buyersThat’s 3.5 million woman aged 24-49
BUT no direct communication channel
> Challenge No direct relationship with consumers– Dependent on major retailers
Cannot communicate directly so …– Harder to understand– Harder to engage/make loyal– Harder to up/cross-sell– More expensive in the long-run
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> Opportunity An integrated platform architecture that collects and
organises consumer information to lift the business intelligence across the entire company through data driven insights.
Platform selection is driven by our ability to implement and management our consumers. Sharing knowledge between brands and agencies to leverage our
learnings. Technology infrastructure collects data and enable us to draw
consumer insights. Consistent reporting and tracking across agencies, platforms and
assets creates business efficiencies.
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Sharing
Reporting
Infrastructure
> Solution: Strategy Develop CRM to engage consumers directly
– Objective #1: Attract subscribers– Objective #2: Engage subscribers– Objective #3: Consumer insights
Improve products/marketing
– Objective #4: Reduce costs Direct/earned media vs. paid media Increase effectiveness of paid media via targeting
– Objective #5: Increase sales Increase up/cross/repeat sales
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Short-term
Medium-term
Long-term
> Solution: Platform vision
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SCV2
SurveysCampaigns
Promotions
EngageWebsites/appsSocial/display
eDMs/DMs
CRM1
2 Single customer view platform containing all data across all (customer) touch points
1 Customer relationship management platform containing all data necessary to manage campaigns
Mass mediaSocial mediaDigital media
MeasureDemographicsTransactionsCampaigns
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Behavioural data
> Combine your data sources
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3rd party data
+ The whole is greater than the sum of its parts
Transactional data
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> Understand your customers
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Awareness Engagement Conversion Loyalty
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Required data points to make connection from customers to prospects?
CustomersProspects
Awareness Engagement Conversion
Audience purchased
Geo- segments
Audience purchased
Audience engaged
Geo-segments based on historic sales
Audience 1 Segment 1 Segment 1
GAP Segment 2 GAP GAP Segment 2
Segment 3 GAP Segment 3
GAP Segment N GAP GAP Segment N
> Identify gaps = opportunities
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Audience 1 = Segment 1
Audience 2 = Segment 3
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> Solution: Execution “You gotta give to get”– Smartest CRM is useless without content
Need something to communicate What can RB provide (the incentive)?– Tips, tricks, competitions– Product discounts, free products
Significant cost, requires smarts to maximise ROI Balancing data requirements with objectives
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> Solution: Execution Tips, tricks, competitions
– Anyone can receive Product discounts
– Expensive: Limit to stores or geographical regions that don’t sell enough already?
Free products– Most expensive: Limit even further to influential consumers
in stores or geographical regions that don’t sell enough already?
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> Balancing data requirements Objective #1: Attract subscribers
– Reduce subscription barriers: Ask for email only, offer social sign-on Objective #2: Engage subscribers
– Increase relevance: Ask for name, gender, DOB, category attitude Cannot give away product discounts, free products: Requires post code
Objective #3: Consumer insights– Improve products/marketing: Ask for full address, main supermarket
Deduct household income, life stage via geo-segmentation
Objective #4: Reduce costs– Increase effectiveness of paid media: Ask for full address
Deduct media behaviour via geo-segmentation
Objective #5: Increase sales– Increase up/cross/repeat sales: Ask for purchase behaviour
Deduct purchase behaviour via geo-segmentationMarch 2014 © Datalicious Pty Ltd 15
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> Phase 1: Common platform & data
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SMS, email subscription
Facebook pages
Retail point of sale
Reckitt websites
Form subscription
ExactTarget API
ExactTarget Data Store
(SalesForce)
ExactTarget Landing Pages
ExactTarget Mobile Connect
Form subscription
Social single sign-on
(Janrain)
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> Phase 1: Common platform & data
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ExactTarget Data Store
(SalesForce)
Data on geo-segments
(RDA geoTribes)
Social influence data
(Fliptop)
ExactTarget Automat. Studio
ExactTarget Audience Builder
ExactTarget SMS
ExactTarget emails
ExactTarget pages, forms
Website/app behaviour data
(SuperTag)
Retails sales data(Nielsen)
CB
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> Phase 2: Data driven content Email template(s) with
customized content based on available subscriber data.
Explanations (including incentives) why additional data is required and why would it be beneficial for subscribers to provide.
Continuous checking and updating of subscriber data to keep data accurate.
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Subscriber data update (missing fields)
Product discounts (post code, influence)
Content suggestion (multiple)
Tips, tricks, competitions (multiple)
Content suggestion (multiple)
> Results Capability (technology) in place– Including standardised subscription forms
Legacy subscriber data being cleaned-up Still need to overcome brand silos– Data requirements still driven at brand level
Still need to streamline content strategy– Communications strategy still driven at brand level
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> What’s next? A strong foundation builds growth Now need to onboard remaining RB brands into CRM Move from email blasts to automated email triggers Develop cross brand insights Improve social integration with Facebook API Explore ecommerce opportunities Explore trade and B2B opportunities Explore integration with media (audience) owners Reduced reliance on paid and earned channels
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Learn morewww.datalicious.com
www.rb.com
SMART DATA DRIVEN MARKETING
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