Email Insider Summit, Deer Valley, Utah, Day 2 - Lauren Gentile and Christine Bradford - Harnessing the Power of Machine Learning to Create 1:You Communications
So over the next 15-20 minutes we wanted to share with you a little bit about:
Epsilon and some of the exiting changes we’ve had in the last year
Machine Learning and the influence of personalization in driving email performance
A look at one of our clients Dell Brazil and how they are achieving tremendous success
Finally, we’ll explore some additional brand case studies
Epsilon was acquired by Publicis in July of this year.
And we are Positioned at the core of Publicis Groupe
Epsilon’s Mission: To empower marketers to make every interaction count—and transform customer experiences into meaningful, human experiences that matter.
We do this through:
Industry-leading identity management, data science and technology
#1 identity cross-device accuracy and persistence
#1 transactional, behavior and intent data set in US
Leader in Loyalty Technology Platform, Loyalty Services
#1 CRM in the US
Software with service
We’re not just selling a seat. We bring people who actually understand how to expertly apply technology – who will meet you where you are today and take you where you need to be.
Service expertise in strategy, analytics, digital experience, dynamic creative and campaign operations/orchestration
Increased firepower with Publicis Groupe
3rd largest communications group in the world
Leader in creativity, data and technology, strategy
Together we bring the most complete end-to-end services, from unparalleled data and personalization capabilities to unrivaled creative and reach, to accelerate your sales while reducing costs
50+ years of demonstrating real results
We’re setting the bar – accelerating change, better customer experience
For over five decades, we’ve been working with top brands representing all industries
Our client base includes at least 7 out of top 10 U.S. companies in main industries
Our top 50 clients have an average tenure of 14 years and 8% average annual revenue growth
Demonstrating brand intelligence gained over five decades
Epsilon’s mission is to drive performance – to drive your success
We help you escape the walls by replicating the people-based marketing the walled gardens bring and scaling that across all the places where consumers spend their time
We lead the industry in identity management, data science, AI, and measurable performance—all with consumer privacy at the forefront of everything we do
Bringing what others don’t:
The highest performing, highest fidelity ID
The largest transactional data repository, with the most comprehensive consumer behavior, intent and action data in the industry
The fastest, most efficient AI to continuously activate and optimize personalized experiences – and eliminate media waste
And we’re driven by unbiased performance – focused on your outcomes with truth, proof and transparency
Here’s a real example that shows how Epsilon’s identity management compares to a combination of :
- onboarding vendor
- DMP vendor
- DSP vendor
when a leading retailer wanted to reach 10M of their customers.
Epsilon drove greater percentage in terms of onboarding, reach, accuracy and persistance
Ultimately Epsilon drove 17X the scale
The more data we have the more intelligent the decisions and the more personalized we can get with messaging
Epsilon has the richest, most comprehensive view by combining a brands’ first-party view with our differentiated third-party data assets plus CORE’s digital behavior at scale
From the power of our data (third-party/transactional), marketers are able to increase their understanding of their customers through a complete, data-rich customer view built from the industry’s largest transactional data repository, with most comprehensive consumer behavior, intent and action data
We have a high-definition view across 7,000+ profile attributes, covering demographic, transactional, media consumption, browsing, location and device data (key datapoints)
Profiles are built with historical data that updates in real time, so you’re able to personalized experiences based on past behavior but able to predict future behavior
Consumer privacy is always a priority for Epsilon, surrounding everything we do.
Customer identity is 100% pseudonymous. No name-based (PII) data is ever used for online profiles
Backed by 10 years of privacy audits
Philosophy of privacy-by-design
GDPR compliant
CCPA ready
Bring 50 years of experience managing sensitive first-party data
So before Christine shares how Dell put this in action, I want
Data Science products insights
Machine Learning produces Predictions
AI productions actions
Machine learning leverages algothrims to teach computers what we as humans do naturally
Those self learning algothrims then consume information direcly from various data sources to make decisions
And…those altoghtims can adapt to improve their performance in an ever changing environment
Ultimately finding patterns and predictions in the data to generate insights to make better decisions
With computational speed and accuracy we can then process insights across a broad data set in seconds
Machine learning is the scientific study of algorithms and statistical models that computers and software use to progressively improve the performance of a specific task.
We can use ML to optimize communications across channels.
Epsilon’s continuous machine learning makes
intelligent decisions about who to target, what to say to them, how and when to deliver your marketing and when to hold back.
For example, we can predict what channel the customer is most likely to take action in whether that’s in app, web, email, or even direct mail and whether or not we need to send communication.
Consumers’ constantly changing actions and behaviors are reflected in real-time profile updates
Messages shift as we anticipate each customer’s changing needs, and the products we predict they’ll be most receptive to
Client performance and efficiency are continuously observed and fine-tuned—driving toward their business’s most important outcomes
Over time: we are optimizing all touchpoints throughout the customer journey
Ready to see it in action?
And Ulimately we do this in an effort to drive personalization. Because we know personalization not easy….there are challenges in achieving personalization
It’s starts with aligning and activating data. Although brands have access to data, its often not in one place and difficult to activate within the channel
Real-time decisioning is another challenge marketers face, often times it’s not necessarily real-time but driven by the recency of the data. Real time is important so it feels like a seamless conversation with the customer.
Creating & Managing Content: We hear a lot from brands as the need for content creation at an individual level can be overhelming and difficult to scale
Channel Alignment and Optmization – while you’ve figured it out for one channel, connecting across channels and devices is important to ensure you are reaching the customer in the moment/channel that is most relevant to them
Measurement – having an understanding of holistic measurement and the impact of your actions is often the most difficult, yet the most important
Have you ever had this happen to you? Not just a look back, but look forward,
Here’s what you can do for the year. In order to achieve Alist preferred you need X more…How have I engaged in your network. What categories am I most likely earn in…As an organization you are doing a lot to recognize my loyalty, but WHAT MORE CAN YOU Do….Just bc someone is a loyal flyer, doesn’t mean they always understand your program. I was talking to collegue about dining rewards and they didn’t know you could do that…Imagine if you did progressive profiling at beginning of year: - get to Hawaiiearn a list preferredetcwelcome to the new year series then they can layout predictive roadmap for you. Based on how you earned/burned .Here are partner offers, rank in order and recommend in lieklyhood
A personal Journey..
I fly SWA exclusively for business and leisure. A couple years ago, i was so close to companion pass. And it was December 12th, weeks away from the end of the year.
Unfortunately, SWA didn't recognize this as a moment and provide me with any content/tips on how to close that gap. I didn't receive any partner offers, or content in this message.
In fact, my Dec statement email had banner telling me to get the CC, which i already had and had a very small dining rewards button I didn’t recognize.
So I decided for an upcoming business trip, I would extend my stay for the weekend and book the hotel thru SW in an effort to earn another 6,000 RR points for the stay.
I only knew this was an option after searching on my own, as I always book hotels direct thru Marriott.
In addition, it was December, holiday time -where I increase my online purchases and dine out frequently with friends and family but didn’t know about RR extensive partner network
When I finally did earn companion pass I received my annual year in review email. It was fun, and leveraged dynamic content to recognize how many miles I flew, where I visited, how many points I earned even how many flight attendants I saw.
But what the message didn’t do was help me plan how to earn and where new places to go in that new year. It didn’t predict what you WANT to do, SHOULD do, WILL do.
Have you ever had this happen to you? Not just a look back, but look forward,
Here’s what you can do for the year. In order to achieve Alist preferred you need X more…How have I engaged in your network. What categories am I most likely earn in…As an organization you are doing a lot to recognize my loyalty, but WHAT MORE CAN YOU Do….Just bc someone is a loyal flyer, doesn’t mean they always understand your program. I was talking to collegue about dining rewards and they didn’t know you could do that…Imagine if you did progressive profiling at beginning of year: - get to Hawaiiearn a list preferredetcwelcome to the new year series then they can layout predictive roadmap for you. Based on how you earned/burned .Here are partner offers, rank in order and recommend in lieklyhood
A personal Journey..
I fly SWA exclusively for business and leisure. A couple years ago, i was so close to companion pass. And it was December 12th, weeks away from the end of the year.
Unfortunately, SWA didn't recognize this as a moment and provide me with any content/tips on how to close that gap. I didn't receive any partner offers, or content in this message.
In fact, my Dec statement email had banner telling me to get the CC, which i already had and had a very small dining rewards button I didn’t recognize.
So I decided for an upcoming business trip, I would extend my stay for the weekend and book the hotel thru SW in an effort to earn another 6,000 RR points for the stay.
I only knew this was an option after searching on my own, as I always book hotels direct thru Marriott.
In addition, it was December, holiday time -where I increase my online purchases and dine out frequently with friends and family but didn’t know about RR extensive partner network
When I finally did earn companion pass I received my annual year in review email. It was fun, and leveraged dynamic content to recognize how many miles I flew, where I visited, how many points I earned even how many flight attendants I saw.
But what the message didn’t do was help me plan how to earn and where new places to go in that new year. It didn’t predict what you WANT to do, SHOULD do, WILL do.
Subscribers with 4+ personalized sends generated 94% more revenue per subscriber than those with less than 4 personalized sends
The program will reach its full potential with the removal of the testing structure because all subscribers will receive personalized content week over week. During testing, revenue per subscriber increased with each additional personalized send. This could potentially increase the campaign revenue by 50% more than control group if that trend continues.
Week over week the test group outperformed the control in orders per open. Overall, the test group generated 26% more orders per open than the control group.
Subscribers respond to the CTA image in a campaign. Personalized images increase conversion rates on the showcased product.
What touches are leading to conversions?
Many of our clients are still asking this question, with few concrete answers.
In this journey, what’s seen and trackable back to a customer is really the email open and delivery of the direct mail piece, or the blue/green circles.
And luckily, the customer does indeed purchase. DM and Email get all the glory, while the efficacy of the media campaign is in question.
With the online to offline ID alignment Bridge provides, we can see that the customer journey was indeed very different.
Within the same lookback window, we can now see that the customer was served multiple impressions, clicked on one and visited the site.
Now clients have a more transparent view into this customers journey and can give credit where credit is due.
This is another key example of how Bridge is filling in digital blind spots for our clients, while providing a more holistic view of their customers journey.
In this multichannel customer journey example, our client can link email and direct mail in the path to conversion. What they didn't see was this person was served 2 media impressions.
When you include the digital data from Bridge, it becomes a different journey than what we thought it was.
This is where reach and network effect is important.
And it’s not just the impression Bridge is aligning, it’s also if a click occurred, when the impression is served, the campaign name and the type of device the engagement occurred on, all of which is providing incremental insight that can be aligned to a known customer.