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A story about crawling, walking & running
Salesforce Personalization
robin.bosmans@cx-expertise.be
Robin Bosmans, Marketing Automation Expert @ CX-Expertise
ABOUT MYSELF
• Marketing Automation
Expert @ CX-Expertise
• 8 years of experience in
Marketing Automation
• Specialized in Salesforce
Marketing Cloud & Account
Engagement
• 4.5 years @ Engie
ABOUT ENGIE
• Salesforce acquired Evergage CDP in 2020 for 100 million USD
ABOUT PERSONALIZATION
Evergage = Interaction Studio =
Personalization
CRAWLING
IMPLEMENTATION
Implementation started in January 2021
• First big one in the Benelux
• Implementation done by Salesforce in close collaboration with key stakeholders at Engie
• Use cases defined (low – medium – high)
Kick off
Discovery
phase
Design &
Build
Deploy,
UAT &
Enablement
GO LIVE MID
OF 2021
POST GO LIVE ISSUES
• Strong organizational changes within Engie
• Agile way of working with Squads and Chapters
• No real business ownership on the implemented campaigns
• Corona crisis
• Some key people from the initial project team left Engie (both internal and external)
POST GO LIVE ISSUES
• Integration gap between Salesforce Marketing Cloud & Personalization
• Different languages
• Scattered documentation and resources
• Not yet focused on the integration part
SITUATION
• Use cases kept running but weren’t optimized
• Really basic things
• Personalization was barely used by business
• No ROI generated with the tool
WALKING
• Inspiration sessions about Personalization towards Marketing chapter
• Showing the power of Personalization
• Potential use cases
• Brainstorm sessions with individual squads
ACTION PLAN
Everyone saw the potential of Personalization
but it was really difficult for business to think out
of the box to come up with solid business use
cases.
• Focus on data capture (CDP approach)
ACTION PLAN
The use of Personalization became part of their campaign strategy
• More ‘advanced’ use cases went live
• Results were analyzed
• Optimizations were done
THE SHIFT
THE SHIFT
• Energy Market was under extreme pressure (2022)
• Cost structure Personalization =
• License cost + Monthly Unique Visitors + Named Individual Profiles (NIP)
• NIP volume increased drastically
• Deleting NIP without visit for the last 90 days to stay under our limit
• Single shot campaigns
THE SHIFT ISSUES
Make sure to make future
estimations on expected NIPs!
RUNNING
HOMEPAGE EXPERIMENT
Context
• Homepage was really static
• One size fits all approach
• 1.5 million unique visitors arrive directly on
engie.be homepage per quarter
• 62 % is a returning visitor
• Barely generated click*
*3 month timeframe
HOMEPAGE EXPERIMENT
HOMEPAGE EXPERIMENT
HOMEPAGE EXPERIMENT
• More clicks generated with the new component
• Long term campaign
• One topic performed very well: ‘Steunmaatregelen overheid’
• Default topic scored better than personalized topics ☹
• New Fixed Price
HOMEPAGE EXPERIMENT RESULTS
The energy market was still very turbulent …
NEXT BEST PRODUCT EXPERIMENT
Next Best Product already existed at Engie but we faced some issues
• Certain zones in the customer area
• Use of outdated propensity scores
• Copy wasn’t updated anymore for the last 4 years
• No evaluation on results
• No A/B testing on the actual content
• No possibility to extend it with other product key messages (Engie Smart App)
NEXT BEST PRODUCT EXPERIMENT
Solving the issues with Personalization
• Migrate NBP blocks to Personalization
• Enable fresh propensity scores to show
relevant messages
• Be more in control of the content
• Result evaluation once a month with
business stakeholders
• NBP blocks can be used for additional
products and communications
NEXT BEST PRODUCT EXPERIMENT
2.2 % CTR
NEXT BEST PRODUCT EXPERIMENT
1.9 % CTR
NEXT BEST PRODUCT EXPERIMENT
• Always on campaign
• Experiences on real time data
• Flexibility
• A/B testing
• Copy changes
• Product changes
• Direct product conversions
NEXT BEST PRODUCT EXPERIMENT RESULTS
2 % Overall Conversion
Rate
KEY TAKE AWAYS
• Recently launched Salesforce products come with extra challenges
• Don’t underestimate the need for change management
• User adoption is key
• Success and Failure attribution is not always straightforward
• Start with basic use cases (trial & error)
• Analyze & Optimize
• Aim for always on campaigns
• Be the inspirator
• Never give up!
KEY TAKE AWAYS
Key significant learnings from ENGIE after
5+ years of working with SFMC
Belgian Salesforce Marketing Cloud SF Office Event
March 13, 2024
ssjsdocs.xyz | ampscript.xyz | (in) ivanrazine
Ivan Razine, TA, Marketing Champion, Community Group Leader, author
Statement under the Private Securities Litigation Reform Act of 1995
Forward-Looking Statement
(in) Mounir Nejjai
About me
• Salesforce Marketing Champion
• Salesforce Community Group Leader
• Author of ampscript.xyz and ssjsdocs.xyz
• Webinar special guest for CloudKettle (Canada),
HowToSFMC and Salesforce Marketer Bootcamp
(Singapore & USA)
• Top Salesforce Marketing Cloud influencer blogger by
The Drip (fka SalesforceBen)
• Developer, web & graphic designer, email specialist
I’m that guy behind that thing
Ivan Razine
Technical Analyst
@ENGIE
How big is the Marketing Cloud
implementation @ENGIE Electrabel?
How big is our SFMC implementation?
2600+ template-
based emails
3694 data
extensions
96M+ emails sent
last 12 months
3M+ SMS sent last
12 months
400+ active
Triggered Send
Definitions
485* cloud pages
1550 active
automations
80 registered
SFMC users
Which rookie mistakes have we
made when we started?
Which rookie mistakes have we made?
Migration
• Business involvement
• Crap-in, crap-out
• Data mapping, consent
model
• BU separation
• Integration packages
• Access rights
People & Technology
• Promise vs delivery &
support
• SFMC specialists,
certifications
• Knowledge separation
• Email templates & Cloud
pages creation
• Understanding SFMC
limitations
• Deeplinks & mirror links
Governance
• Naming convention
• GDPR compliance
• Documentation, guidelines
& onboarding
• Reporting, monitoring and
logging
• Content lifecycle
• Bounce management
Key takeaways from 2018-2020
How did we solve these issues?
How did we solve these issues?
Way of working
Implementing Agile
methodology vs « Busy
Bee »
Sharepoint
documentation &
DevOps wikis
Improving hiring
practices & manage
expectations
Knowledge sharing,
trainings & T-shaping
POCs, AB testing and
workshops
(understanding the need
first)
Working groups for
tackling specific topics
(eg Governance, Data-
driven)
Rethinking and
improving existing
processes and
implementations
Breaking down epics in
features and user stories
(divide-and-conquer)
Technical solutions
How did we solve these issues?
One click deeplink, no
« view in browser » link
Automate everything as
much as possible (eg
bounce management)
E2E testing, test cases &
regression testing
PowerBI/GA for data
analysis & visualisation
vs Intelligence
Improve communication
with Business (eg specs,
user stories,
communication board)
Universal Form Handler
for Cloud Pages
Smart email templates
Custom apps in SSJS
and Node.js
Which issues are we still
facing today?
What issues are we still facing today?
Men @ work
KNOWLEDGE
SILOS (20+
PEOPLE
WORKING WITH
SFMC)
DATA SANITY,
HARMONISATION
& MAPPING
LEGACY
PLATFORMS,
TOOLS &
INTEGRATIONS
AUTONOMY &
ONBOARDING
(BE CURIOUS)
TAKE
ADVANTAGE OF
NEW FEATURES
GDPR RTA/RTF
AUTOMATION
PERSONALIZATI
ON
GOVERNANCE
AND USE CASES
TEST EVIDENCE
WOW
SFMC API
LIMITATIONS
ToShare_UG 13_03_24_Full_BelgianTrailblazerCommunity.pptx
ToShare_UG 13_03_24_Full_BelgianTrailblazerCommunity.pptx

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ToShare_UG 13_03_24_Full_BelgianTrailblazerCommunity.pptx

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. A story about crawling, walking & running Salesforce Personalization robin.bosmans@cx-expertise.be Robin Bosmans, Marketing Automation Expert @ CX-Expertise
  • 7. ABOUT MYSELF • Marketing Automation Expert @ CX-Expertise • 8 years of experience in Marketing Automation • Specialized in Salesforce Marketing Cloud & Account Engagement • 4.5 years @ Engie
  • 9. • Salesforce acquired Evergage CDP in 2020 for 100 million USD ABOUT PERSONALIZATION Evergage = Interaction Studio = Personalization
  • 11. IMPLEMENTATION Implementation started in January 2021 • First big one in the Benelux • Implementation done by Salesforce in close collaboration with key stakeholders at Engie • Use cases defined (low – medium – high) Kick off Discovery phase Design & Build Deploy, UAT & Enablement GO LIVE MID OF 2021
  • 12. POST GO LIVE ISSUES • Strong organizational changes within Engie • Agile way of working with Squads and Chapters • No real business ownership on the implemented campaigns • Corona crisis • Some key people from the initial project team left Engie (both internal and external)
  • 13. POST GO LIVE ISSUES • Integration gap between Salesforce Marketing Cloud & Personalization • Different languages • Scattered documentation and resources • Not yet focused on the integration part
  • 14. SITUATION • Use cases kept running but weren’t optimized • Really basic things • Personalization was barely used by business • No ROI generated with the tool
  • 16. • Inspiration sessions about Personalization towards Marketing chapter • Showing the power of Personalization • Potential use cases • Brainstorm sessions with individual squads ACTION PLAN Everyone saw the potential of Personalization but it was really difficult for business to think out of the box to come up with solid business use cases.
  • 17. • Focus on data capture (CDP approach) ACTION PLAN
  • 18. The use of Personalization became part of their campaign strategy • More ‘advanced’ use cases went live • Results were analyzed • Optimizations were done THE SHIFT
  • 20. • Energy Market was under extreme pressure (2022) • Cost structure Personalization = • License cost + Monthly Unique Visitors + Named Individual Profiles (NIP) • NIP volume increased drastically • Deleting NIP without visit for the last 90 days to stay under our limit • Single shot campaigns THE SHIFT ISSUES Make sure to make future estimations on expected NIPs!
  • 22. HOMEPAGE EXPERIMENT Context • Homepage was really static • One size fits all approach • 1.5 million unique visitors arrive directly on engie.be homepage per quarter • 62 % is a returning visitor • Barely generated click* *3 month timeframe
  • 26. • More clicks generated with the new component • Long term campaign • One topic performed very well: ‘Steunmaatregelen overheid’ • Default topic scored better than personalized topics ☹ • New Fixed Price HOMEPAGE EXPERIMENT RESULTS The energy market was still very turbulent …
  • 27. NEXT BEST PRODUCT EXPERIMENT Next Best Product already existed at Engie but we faced some issues • Certain zones in the customer area • Use of outdated propensity scores • Copy wasn’t updated anymore for the last 4 years • No evaluation on results • No A/B testing on the actual content • No possibility to extend it with other product key messages (Engie Smart App)
  • 28. NEXT BEST PRODUCT EXPERIMENT Solving the issues with Personalization • Migrate NBP blocks to Personalization • Enable fresh propensity scores to show relevant messages • Be more in control of the content • Result evaluation once a month with business stakeholders • NBP blocks can be used for additional products and communications
  • 29. NEXT BEST PRODUCT EXPERIMENT 2.2 % CTR
  • 30. NEXT BEST PRODUCT EXPERIMENT 1.9 % CTR
  • 31. NEXT BEST PRODUCT EXPERIMENT
  • 32. • Always on campaign • Experiences on real time data • Flexibility • A/B testing • Copy changes • Product changes • Direct product conversions NEXT BEST PRODUCT EXPERIMENT RESULTS 2 % Overall Conversion Rate
  • 34. • Recently launched Salesforce products come with extra challenges • Don’t underestimate the need for change management • User adoption is key • Success and Failure attribution is not always straightforward • Start with basic use cases (trial & error) • Analyze & Optimize • Aim for always on campaigns • Be the inspirator • Never give up! KEY TAKE AWAYS
  • 35.
  • 36.
  • 37. Key significant learnings from ENGIE after 5+ years of working with SFMC Belgian Salesforce Marketing Cloud SF Office Event March 13, 2024 ssjsdocs.xyz | ampscript.xyz | (in) ivanrazine Ivan Razine, TA, Marketing Champion, Community Group Leader, author
  • 38. Statement under the Private Securities Litigation Reform Act of 1995 Forward-Looking Statement (in) Mounir Nejjai
  • 39. About me • Salesforce Marketing Champion • Salesforce Community Group Leader • Author of ampscript.xyz and ssjsdocs.xyz • Webinar special guest for CloudKettle (Canada), HowToSFMC and Salesforce Marketer Bootcamp (Singapore & USA) • Top Salesforce Marketing Cloud influencer blogger by The Drip (fka SalesforceBen) • Developer, web & graphic designer, email specialist I’m that guy behind that thing Ivan Razine Technical Analyst @ENGIE
  • 40. How big is the Marketing Cloud implementation @ENGIE Electrabel?
  • 41. How big is our SFMC implementation? 2600+ template- based emails 3694 data extensions 96M+ emails sent last 12 months 3M+ SMS sent last 12 months 400+ active Triggered Send Definitions 485* cloud pages 1550 active automations 80 registered SFMC users
  • 42. Which rookie mistakes have we made when we started?
  • 43. Which rookie mistakes have we made? Migration • Business involvement • Crap-in, crap-out • Data mapping, consent model • BU separation • Integration packages • Access rights People & Technology • Promise vs delivery & support • SFMC specialists, certifications • Knowledge separation • Email templates & Cloud pages creation • Understanding SFMC limitations • Deeplinks & mirror links Governance • Naming convention • GDPR compliance • Documentation, guidelines & onboarding • Reporting, monitoring and logging • Content lifecycle • Bounce management Key takeaways from 2018-2020
  • 44. How did we solve these issues?
  • 45. How did we solve these issues? Way of working Implementing Agile methodology vs « Busy Bee » Sharepoint documentation & DevOps wikis Improving hiring practices & manage expectations Knowledge sharing, trainings & T-shaping POCs, AB testing and workshops (understanding the need first) Working groups for tackling specific topics (eg Governance, Data- driven) Rethinking and improving existing processes and implementations Breaking down epics in features and user stories (divide-and-conquer)
  • 46.
  • 47.
  • 48.
  • 49.
  • 50. Technical solutions How did we solve these issues? One click deeplink, no « view in browser » link Automate everything as much as possible (eg bounce management) E2E testing, test cases & regression testing PowerBI/GA for data analysis & visualisation vs Intelligence Improve communication with Business (eg specs, user stories, communication board) Universal Form Handler for Cloud Pages Smart email templates Custom apps in SSJS and Node.js
  • 51.
  • 52.
  • 53.
  • 54.
  • 55.
  • 56.
  • 57.
  • 58.
  • 59. Which issues are we still facing today?
  • 60. What issues are we still facing today? Men @ work KNOWLEDGE SILOS (20+ PEOPLE WORKING WITH SFMC) DATA SANITY, HARMONISATION & MAPPING LEGACY PLATFORMS, TOOLS & INTEGRATIONS AUTONOMY & ONBOARDING (BE CURIOUS) TAKE ADVANTAGE OF NEW FEATURES GDPR RTA/RTF AUTOMATION PERSONALIZATI ON GOVERNANCE AND USE CASES TEST EVIDENCE WOW SFMC API LIMITATIONS