Artificial intelligence in Marketing Cloud as gamechanger ...€¦ · Agenda. § Implications of...
Transcript of Artificial intelligence in Marketing Cloud as gamechanger ...€¦ · Agenda. § Implications of...
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Markus Slabina
Artificial intelligence in Marketing Cloudas gamechanger in the new normal
16.07.20
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Agenda.§ Implications of contact restrictions
§ Current use of artificial intelligence
§ Top Use Cases
§ Your path to becoming the Digital Champion of your customers
§ Possible applications – Marketing Cloud Einstein
§ Non English-speaking regions - Specifics/ Outlook
§ Marketing Cloud July Release
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84% of customers say the experience a company provides is as important as its products and services.
66% of customers are willing to pay more for a great experience.„State of the Connected Customer“, Salesforce Research, June 2019
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Buying behavior during contact restrictions*
Wish lists68% of online shoppers create wish lists and add items to the cart, but do not buy all items.
Increased online shopping52% of Germans have shopped online more than before since contact restrictions began.
Bargain Hunters81% of online shoppers search for the best offers.
52%
81%
68%
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* „E-Commerce-Study on behalf of Mastercard“, Fly Research, May 2020https://newsroom.mastercard.com/eu/de/press-releases/corona-studie-mehr-als-die-haelfte-der-deutschen-kauft-vermehrt-online-ein/
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You are the Digital Champion ofYour Customers.
OUR VISION
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Use of artificial intelligence in Marketing*
29%2018 2020
84%
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* „State of Marketing“, Salesforce Research, 2020
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Artificial intelligence – Germany vs. Global*
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§ Personalize overall customer journey§ Next best actions in real time§ Programmatic advertising
§ Personalized experiences in individual channels
§ Improved segmentation / lookalike modeling
§ Surface data insights
§ Surface data insights1
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* „State of Marketing“, Salesforce Research, 2020
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Your path to becoming the Digital Champion of your customers
Data Sources Segmentation Optimization Individualization
• Integration• Data quality• …
• Interests• Customer groups• Demographics• …
• Salutation• Demographics• …
• Timing• Frequency• Channel• …
• Offers• Recommendations• Targeted online-ads• …
Personalization
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Optimizing current communication
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§ Individual communication based on:§ Open-/click-likelihood§ Conversion-likelihood§ Retention-likelihood§ Automatically created personas
§ Anomaly-detection for engagement metrics
§ Subject line optimization§ Open rate optimization
§ Optimized send time per contact§ Analysis of best send times
§ Frequency optimization of interactions§ Creation of audiences for suppression and
extra campaigns
Marketing Cloud Einstein
Engagement Scoring + Split Send Time Optimization
Messaging & Copy InsightsEngagement Frequency
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Einstein Engagement Scoring
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Einstein Engagement Split
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Engagement Scoring – Target groups
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Click-likelihood
Open-likelihood
Winback / Dormant
Window Shoppers
Selective Subscribers Loyalists
§ Test alternate channels§ Win-back campaigns§ Ask for preferences
§ Optimize subject line§ Personalize based on recent
purchases
§ Personalization§ Recommendations§ Test CTAs§ Targeted offers/incentives
§ Lookalike-Audiences§ Special offers§ Refer a friend programs§ Increase frequency
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Einstein Send Time Optimization
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Einstein Engagement Frequency
14Image source: „Personalize Interactions with Einstein for Marketing Cloud“, Salesforce Trailhead
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Einstein Messaging Insights
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Further individualization of the customer experience
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§ Product recommendations based on:§ Page visits§ Shopping cart§ …
§ Cart- & Browse-Abandonment
§ Spam recognition§ Sentiment-analysis§ Influencer scoring
§ Automatic selection of image content§ Tagging based on image recognition
§ Behavior based segmentation§ Attract new customers
Marketing Cloud Einstein
Email & Web Recommendations Content Selection & Tagging
Social InsigthsSegmentation & Lookalikes
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Cart-Abandonment Campaign – Success factors
2-3 Emails1. within 24 hours2. after 2 days3. after 1 week
Voucher codeapplicable on cart or entire shop
Link to cartclear CTA in the email
Advertise promotionscurrent or future
Recommendationsbased on products in the cart
Product imagesof articles in the cart
17Sources: project experience as well as best practice summary by Salesforce (https://www.salesforce.com/products/marketing-cloud/best-practices/abandoned-cart-emails-guide/)
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Einstein Content Selection – Email Studio
18Image source: „Automate with Einstein Content Tagging and Selection“, Salesforce Trailhead
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Einstein Content Selection – Insights
19Image source: „Automate with Einstein Content Tagging and Selection“, Salesforce Trailhead
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Specifics for Non English-speaking regions
“Copy Insights” currently only for english text.
Roadmap*
§ Copy Insights- Further languages- Subject line testing tool- Support for dynamic subject
lines
§ Engagement Frequency- Split Activity
§ Content Selection- Further content-types- Timezone-Support- Content specific subject lines
* Roadmap not officially confirmed; make your purchasing decisions based on the current feature set, not on any roadmap items!
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§ Cart- and Browse-Abandonment triggers without Salesforce Services
§ Send Time Optimization§ for MobilePush§ Insights in send times directly within Journey Builder
§ Content Selection – optimization for E-Mails with multiple contents
§ Einstein for Interaction Studio
Sources:• https://help.salesforce.com/articleView?id=mc_rn_july_2020_release.htm• https://help.salesforce.com/articleView?id=mc_rn_july_2020_einstein.htm• https://help.salesforce.com/articleView?id=mc_rn_july_2020_behavioral_triggers.htm
JulyRelease07/25-08/01
Musterbild
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Do you have any questions?Feel free to contact me.
Markus SlabinaPrincipal Technical Consultant
LinkedIn linkedin.com/in/markus-slabinaWeb www.ec4u.com