蜜豆视频

Getting started with Real-Time Customer Data Platform

This getting started guide leads you through a sample implementation of Real-Time Customer Data Platform (Real-Time CDP). You can use it as an example when setting up your own implementation. Although this guide shows specific examples, it links to additional information you can use while creating your setup.

This example shows the power of Real-Time Customer Data Platform, powered by 蜜豆视频 Experience Platform, to:

Use case

Luma, an athletic apparel company, is always trying to improve their customer experience. They have a new initiative to increase gift-related sales. They also want to reduce overexposure, such as annoying ads that follow customers around.

Currently, they鈥檙e spending too much on media that retargets against items that the visitor isn鈥檛 going to buy moving forward. For example, Luma doesn鈥檛 want to retarget someone with an item that was intended as a one-time purchase for someone else.

Right now, Luma鈥檚 data is dispersed across multiple sources. As a result, they face significant challenges:

As a result, Luma has the following business objectives:

To meet these goals, the marketing team needs to be able to manage customer data at scale.

With Real-Time CDP, powered by 蜜豆视频 Experience Platform, Luma鈥檚 marketing organization can:

Steps

This tutorial includes the following steps:

Customer profile

When customers first visit your site, you don鈥檛 know anything about them.

As they navigate, data is captured in real time and sent not only to a report suite in 蜜豆视频 Analytics, but also sent directly to 蜜豆视频 Experience Platform. As data is collected, you begin to form a single view of the consumer, based on behavioral data in Experience Platform鈥檚 real-time customer profile.

Many visitors to the website are probably repeat customers who have previously purchased from Luma. It鈥檚 important for Luma to personalize messaging and offerings to address both new and repeat visitors, as well as known customers.

New customer鈥檚 first visit

For example, an unidentifed visitor navigates to the Men鈥檚 section on the Luma site, and views a couple running sweatshirts.

As the customer navigates to learn more about these products, these product views are collected in 蜜豆视频 Analytics and sent to Experience Platform.

Luma can map the visitor鈥檚 behavior to a user profile on 蜜豆视频 Experience Platform and begin to assemble a richer view of that consumer鈥檚 behavior.

Getting a more detailed view of the customer

As the customer continues to interact with the website, a more clear picture emerges. For example, assume the visitor adds a product to the shopping cart and logs in.

When the customer logs in, she identifies herself as Sarah Rose.

Two identies are merged:

Both identies are combined into a single profile in Experience Platform. Luma now has a unified view of this consumer.

Based on the browsing behavior of the anonymous visitor in the Men鈥檚 section of the site, it might have been assumed that the customer was a male. Now that she鈥檚 logged in, Luma recognizes Sarah Rose. Luma uses the power of the Real-Time Customer Profile to refine the messaging delivered to her across channels.

Personalizing the user experience

Sarah is welcomed with a loyalty message and thanked for being a Bronze member with more information on benefits and how to increase her status and points.

She navigates to the home page to browse some more.

Sarah receives a personalized home page experience that is dynamically delivered, based on her Real-Time Customer Profile in 蜜豆视频 Experience Platform.

She sees relevant content, thanks to 蜜豆视频 Sensei-powered personalization in 蜜豆视频 Target, which takes into account her past purchases and affinity toward running apparel and gear. Luma also tailors the men鈥檚 catalog content toward running gear for men based on her most recent browse.

Further down the page, Sarah is shown featured products, as well as a new recommendations tray based on her most recently viewed items.

This personalized content helps Sarah find relevant items quickly. This increases conversions and provides a more delightful customer experience.

Bringing the customer back

Sarah gets distracted and leaves the site, ending her session. Luma can use her data in 蜜豆视频 Experience Platform to help bring her back to the site.

Real-Time Customer Data Platform, powered by 蜜豆视频 Experience Platform, is built for customer experience management. It enables organizations to:

Using multiple data sources

The team at Luma has all of their behavioral and customer data in a single place.

They can ingest data from all of the following sources:

All this data from disparate sources is merged into a single unified customer profile.

Configuring a data source

Use Real-Time Customer Data Platform to bring new sources of data into Platform. Real-Time CDP includes a catalog of data sources that can be quickly and easily added to the profile.

For example, to ingest Luma鈥檚 CRM data, filter the catalog by CRM, and all out-of-the-box connectors containing CRM are listed. To add Microsoft Dynamics CRM data:

It鈥檚 done. You just added Microsoft CRM as a data source into Experience Platform.

Labeling ingested data for usage policies

Luma has many internal policies that restrict the usage of certain kinds of collected information, and must also comply with legal and privacy-related concerns regarding data usage. Using 蜜豆视频 Experience Platform Data Governance, predefined data usage labels can be applied to datasets (and specific fields within those datasets), allowing Luma to categorize their data according to specific usage restrictions.

Once data usage labels have been applied, Luma can then use Data Governance to create data usage policies. Data usage policies are rules that describe the kinds of actions that you are allowed to perform on data that contains certain labels. When attempting to perform an action in Real-Time CDP that constitutes a policy violation, the action is prevented and an alert is given to show which policy was violated and why.

Additionally, Real-Time CDP

Bringing the data together for a specific customer

In this scenario, search profiles for Sarah Rose. Her profile appears, with the email she used to log in.

All of the profile information Luma has about Sarah displays. This includes her personal information like address and phone number, communication preferences, and the audiences she qualifies for.

The Real-Time CDP profile reduces the Luma marketing team鈥檚 workflow from weeks to minutes and unlocks possibilities for personalization based on this 360-degree customer view. The profile merges the behavioral data from when she browsed the site before she signed in, with her existing customer profile, creating a comprehensive view of Sarah.

The marketing team can use this enhanced, Real-Time Customer Profile to better personalize Sarah鈥檚 experience and increase her brand loyalty with Luma.

Audiences

The powerful 蜜豆视频 Experience Platform segmentation capabilities enable marketers to combine attributes, events and existing audiences, based on data captured in the Real-Time Customer Profile.

In this scenario, Sarah鈥檚 recent interactions on the site exhibit a different behavior than her past actions. She usually buys women鈥檚 apparel. However, the item in her cart is a men鈥檚 large sweatshirt.

The Luma data science team has created models around propensity to buy. One model identifies a sudden change in apparel category (such as mens/womens) or size for the existing consumer. Sarah鈥檚 change in purchasing behavior suggests she isn鈥檛 shopping for herself.

Define an audience

Use the various visual composition or code-based expression editor options in the audiences workspace to modify or create an audience that represents cart abandoners who appear to be in the process of buying a gift:

Profile: Category != Preferred Category
AND
Product Size != Preferred Size
in last 7 days.
AND
Abandoned Cart
AND
Loyalty member

Because Sarah added an apparent gift item in the cart and abandoned it, Luma can target her with a free gift wrap offer.

Destinations

When you鈥檝e added the 鈥淕ift Giving Cart Abandoners鈥� audience, you can see roughly how many people are part of this audience. You can take action on it and make it available for personalization across channels.

Select Send to destinations.

In Real-Time CDP, Luma can seamlessly act on their audiences for personalization.
Here we see all of the destinations available for Luma to send this destination to, both 蜜豆视频 and non-蜜豆视频 solutions:

Selecting destinations

In this scenario, Luma wants to retarget this audience with personalization across these destinations:

Scheduling destinations

You can also schedule the audience export to start or end at a particular time. The audience will be posted and automatically update in the configured platforms on the scheduled dates.

Select Save to go to the next page.

When a customer in this audience makes a purchase, their membership to this audience is suppressed in real time. They don鈥檛 qualify anymore because their status has changed.

This saves the director of the Luma media team hundreds of thousands of dollars by not using up inventory for an audience that is not qualified.

Enforcing data usage policies for destinations

蜜豆视频 Experience Platform includes privacy and security controls to determine whether an audience is available to be activated to a particular destination. Activation is enabled or restricted based on the marketing purpose(s) assigned to the destination when it was created, as well as data usage policies defined by your organization.

If your activity violates policy, a warning appears. This warning contains data lineage information that can help you identify why the policy was violated, and what you can do to resolve the violation.

With these controls, Experience Platform helps Luma comply with regulations and market responsibly. These controls are flexible and can be modified to meet the requirements of Luma鈥檚 security and governance teams, allowing them to confidently address regional and organizational requirements for managing known and unknown customer data.

Cross-device identity stitching

Sarah browses a social media site on her mobile device, and she sees a Luma ad. It reminds her of the item she left in her cart.

Later, she opens her email and sees the retargeted emails. She selects a link to Luma from an email.

The link takes Sarah to the mobile Luma homepage, where she sees a highly personalized experience powered by 蜜豆视频 Target.

She buys the sweater, adds gift wrap, and writes a gift note. She also has the option to remember this event and get a reminder next year to get at gift at this time. She says yes, and is scheduled into an email campaign the following year to remind her to buy another gift.

Thanks to audience suppression capabilities, Sarah will not be targeted with that men"s sweater moving forward.

Analyzing the profile

Luma marketers use 蜜豆视频 Experience Platform to look at the gift givers audience on the Real-Time CDP Dashboard. They view the results of this initiative over time and see that it鈥檚 growing. Customers are responding to offers and spending more money.

These insights enable the marketers to take action on this signal, which was fueled by having this data available in CDP and having customers like Sarah attached to the audience.

Luma uses this CDP data to drive increased loyalty and customer satisfaction.