how successful brands are embracing hype-free ai for ...€¦ · being a marketer is not easy. what...
TRANSCRIPT
Pablo Caceres, VP Sales & Success
https://www.linkedin.com/in/pcaceres06/
How Successful Brands are Embracing
Hype-Free AI for Accelerating Revenue
Retail is afast paced environment
New week, new challenges
Changing
Consumer Needs
Changing
Company Goals
Changing
Technology Landscape
Being a marketer is not easy
What we need
What we get
How it turns out
Vision Vs Reality
The overpromise of softwareSo powerful yet hard to realize value
What’s the problem?
Time
Change
Technology
Omni Channel Automation
A.I.
Email Automation
Adoption Gap
Customer Adoption
What if instead of you adapting to a generic software, software was built and
adapting to your industry’s needs?
Industry-specific
solutions
Marketing
activation
Real-time
optimization
with AI+ +
Text
From a business goal,
choose a strategy to improve
Select a recommended tactic to
achieve your strategyActivate your pre-populated
omnichannel tactic
1 2 3
Omnichannel marketing activation in 1 day
Strategies
First time
buyer to
repeat
Price
drop
New in
store
Abandoned
Browse
Online to
Offline
Purchase
Welcome
Win back
defectingPost Purchase
Store
Feedback
Replenishment Anniversary of
registration
TIME
ENGAGEMENT
Activate tactics across the customer life cycle
Abandoned
Basket
Omnichannel personalization from a single platform
Social
Mobile
Loyalty
Web
AI changes the approach of marketing
Proactive
Reactive
REACTIVE CUSTOMER JOURNEY
SUBSCRIBE
TO NEWSLETTER
Buyer
Actions
PURCHASE
CHURN
FACEBOOK AD CRM ADS
Reactive
Actions
RECEIVES
AN EMAIL
ENGAGEMEN
T
DROPS
PURCHASE [Higher 1st time to repeat customer
SUBSCRIBE
TO NEWSLETTER
Buyer
Actions
PURCHASE
FACEBOOK AD
Reactive
Actions
RECEIVES
AN EMAIL
ENGAGEMEN
T
RISE
CRM ADS
PURCHASE
AI predicts lead is likely to go coldAI predicts customer is likely to purchase
%
AI predicts customer is likely to Churn
PREDICTIVE CUSTOMER JOURNEY
AI PredictionPlatforms
MarketingAutomation
Customer Data
Platform
Data Storage (CDP)
Data Collection
Data Aggregation
Data Processing
Machine learning
Prediction
Segment
Data Export
Import
Execution
Data Feedback
End to End Solution for AI Marketing
• Buyer & Lead Predictions
Likely to convert
Likely to churn
Likely to remain inactive
• Revenue Predictions
• 1:1 Replenishable Products
• 1:1 Banner Personalisation
• 1:1 Product Affinity
• 1:1 Incentives
• Optimal send-time• Email Engagement
• Web Engagement
• Mobile Engagement
• In-Store Engagement
When. Timing
What. Content
Where. Channel
Who. Customer
Marketing Activation
AI Components
Life-Cycle Predictions for Ecommerce/Retail
Which leads are likely to
convert?
Which customer are likely to remain
inactive
Which customer are more likely to
purchase online
? Which customer are more likely to
churn
Who What When Where
Section Title
Predictive Data presented as ready to use segments
Who Where
Channel
Predictions
WhatWhen
Send time
optimizationIncentive
Recommendations
Brand Alley – Success Story
“This is what AI did for us: when a user was going to lapse we messaged
them before that, same for users who were ready to buy.”
– Alexandra Simion, Head of Marketing at Brand Alley
24%Conversion
Increase
Within 90 days of implementing AI:
20%Revenue
Increase
10%Average
Order Value
