Everything you need to know about Optimizely Data Platform

Digital platforms & CMS

ODP Introduction

Optimizely Data Platform (ODP) organizes customer data to provide a real-time understanding of customer behaviors. It enables your business to scale highly personalized, multichannel campaigns using AI-powered predictive analysis and share insights across other Optimizely products.

The four core data processes of ODP:

Data Collection: ODP collects data from various sources and systems.
Data Governance: Ensures incoming data reliability by adhering to rules like GDPR and CCPA, and controls who can access and transfer data based on privacy rules.
Data Synthesis: Segments data into groups for easy access and assessment, updating customer profiles in real-time and integrating anonymous data with existing profiles to make them more complete.
Data Activation: Simplifies the creation and management of omnichannel campaigns, ensuring relevance at every customer touchpoint.

ODP allows your organization to integrate data from multiple sources and create better customer profiles by using insights from across your entire tech stack. For a full list of integrations, visit Optimizely Integrations.

ODP aggregates and merges customer data based on identifiers (email, phone number, e-commerce ID, VUID, cookie ID, etc.) from different sources, a process known as identity resolution.

Integration with your e-commerce platform

ODP is especially valuable when integrated with your sales platform. It allows you to track the entire customer purchasing journey and their engagement throughout it. By using funnels, you can identify the exact stages where customers abandon their purchases and implement targeted campaigns to encourage completion.

For example, integrating ODP with an e-commerce platform like Optimizely Commerce provides you with a complete overview of purchasing trends and client engagement during the purchasing process. This data offers a wealth of information related to your customers’ activities. ODP collects this data, manages it, and analyzes it, letting you optimize your e-commerce operations, improve your customer experiences, increase conversions, and ultimately gain more profits.

ODP can also provide you with key performance indicators such as total revenue, average order value, and conversion numbers that can be reviewed and analyzed. ODP gives you two metrics to help identify opportunities for improvement and encourage business growth:

Horizon metrics: General statistics over a specified time range based on customer attributes and website performance.
Impact metrics: Represent the life cycle movements of customers and their engagement levels. By clicking on specific tiles within the Impact Metrics tab, users can analyze all Horizon Metrics calculated for that case, campaign attribution section, and AI-detected opportunities for improvement.

Real-time segmentation

Creating real-time segments is another useful feature of ODP. It allows you to continuously segment customers and personalize their experiences. Unlike traditional segmentation, which usually updates less frequently, this feature uses customer event data from the past 28 days to continuously update your segments.

These real-time segments load asynchronously, meaning they do not slow down page load times for visitors browsing your site and have a data latency of less than 90 seconds!

Real-time segments use cases:

Web campaigns: Target customers with personalized web campaigns, which make the content shown to them relevant to their most recent interactions.
Optimizely web and feature experimentation: Use real-time segments as audiences in your experimentation efforts to test and optimize different features and content variations.
Visitor Groups in Optimizely CMS: Implement real-time segments with the Visitor Groups feature in Optimizely Content Management System (CMS) versions 11 and 12, again providing more personalized web experiences based on up-to-date customer data.
Email and marketing campaigns: Use real-time segments as audiences in your newsletters, transactional emails, and marketing automation campaigns through the Optimizely Campaign tool.

Funnels

Funnels are another important feature of ODP, giving you insights into customer behavior by mapping out a series of steps you want customers to take in a specific order. Analyzing the output data from the funnel, you can see how many customers complete each step and where they drop off along the timeline.

Understanding where and why customers abandon the engagement process is crucial, especially if your conversion rates are not meeting expectations. Funnels help identify these drop-off points, allowing you to implement targeted strategies to address and solve the issues.

Funnels use cases:

Analyze customer journeys: Understand how customers move through various stages of your purchasing process and identify bottlenecks.
Efficient marketing efforts: Implement targeted campaigns to address specific drop-off points and improve overall conversion rates.
Improve user experience: Make data-backed decisions to improve the customer journey and personalize the user experience.

Behaviors

Another feature of ODP is behaviors, which are a series of customer actions that give you data on how customers interact with your brand. ODP can interpret these behaviors through a set of ordered filters giving you deep insight into your customers’ preferences.

Behaviors use cases:

Behaviors are great for creating segments and populating dynamic grids in campaigns. By analyzing customer actions, you can come up with targeted strategies to re-engage customers and get them back in the purchasing process.

A good example of using behaviors is in a cart abandonment scenario. When customers visit your product pages but leave without adding items to their carts, you can set up a behavior-based campaign in ODP to try to convert them. The campaign could send personalized emails to different customer segments, reminding them of the products they viewed and encouraging them to complete their purchase.

Dynamic Grids

Dynamic grids in ODP give you an easy-to-use way of creating and customizing data grids for effective display and management of your data. It provides a flexible and interactive way to organize, filter, and control the data shown to customers in campaigns. 

Dynamic grids use cases:

Once you have created product collections (Company>Insights) you can quickly present them to customers in any campaign using a dynamic grid. This means that you’ll show your customers the most relevant and attractive products for them, which in turn will improve the chances of conversion.

For example, using product-based filters within a Dynamic Grid configuration, you can perfect and manage the information shown to customers. This includes excluding alternative product references when focusing on a particular brand or category.

You can also use different data sources to improve campaign content, for example:

Behaviors as a Source: Propose products that customers have previously abandoned in their carts.
Recommendations as a Source: Include personalized recommended products in your campaign content.

AI Analysis

Insights about products

ODP has the ability to use AI analysis to provide insights into product performance, helping you make smarter marketing decisions.

One ability of this feature is the Product Opportunities Report, accessible through the Company > Insights section. This report reveals the relationship between product views and sales for items viewed and sold at least twice in the last 30 days.

The Product Opportunities Report includes two main insights for you to track product performance:

Visibility Score: This metric reflects the number of page views a product detail page receives.
Sales Score: This metric indicates the number of units purchased for a particular product.

In addition to these scores, each product is assigned a Gem Rank, calculated as the difference between the sales score and the visibility score. Products with a Gem Rank close to 1 are considered hidden gems—highly attractive items that drive significant sales despite low visibility. Conversely, poor performers are products that attract considerable traffic but fail to convert into sales.

Use cases:

Identify seasonal opportunities: Use the timeframe selector to analyze how products performed during specific periods, such as campaigns or holiday seasons.
Create product collections: Based on the insights gathered, the AI can identify promising products and create personalized collections to propose to customers in your campaign content.

AI-predicted time until next order report

ODP has another AI feature which predicts the number of days and likelihood of an order for each customer. This allows you to spend your marketing resources more effectively and accelerate purchase timelines.

The ‘predicted time until next order report’ is located in the Customers>Insights section and will calculate these attributes on every single customer. The insights are not only useful as a reporting tool but can also be used within the segment builder feature as customer attributes for even more precise targeting and segmentation.

Use cases:

Speed up sales: By identifying customers who are likely to purchase soon, you can target them with specific campaigns designed to encourage quicker conversions.
Identifying ready-to-buy customers: You can use the report to find newer customers who resemble your existing customer segments and send them the best-performing content.

Churn prevention

AI-assisted churn prevention in ODP helps your business identify and re-engage customers that you are at risk of losing. This strategy uses customer behavior data to predict and prevent churn, which in turn leads to steadier customer base growth.

Most brands face this challenge – a segment of their customer base that has disengaged and may never return. To counteract this problem, targeted campaigns aimed at these disengaged customers can be highly effective.

Churn prevention strategies:

Identify at-risk customers: Through analyzing past behaviors, ODP identifies the customers you are at risk of losing.
Time messages perfectly: This strategy adjusts the timing of churn prevention messaging so that they are delivered when they can be most effective.

Use cases:

Winback campaign recipe: A winback campaign configuration which includes a specifically targeted segment of at-risk customers with an email campaign that delivers three touchpoints over two weeks.
Winback in Segment Builder: You can use winback insights from your segment builder to create your own campaigns, analyses, and segment sync.

Campaign structure

Enrollment – Determine who will be engaged in your campaign. For One-time, Behavioral, and Web campaigns, choose an existing customer segment or create a new one. In Behavioral campaigns, you can select event-based enrollment to trigger the campaign based on specific customer actions. The enrollment rules section allows further audience narrowing.

Touchpoints - Select and configure the channel for your touchpoints. Schedule the start and end times for the campaign (or the frequency for recurring campaigns). Using multiple touchpoints enables engagement through various channels, increasing interaction and retention chances. The available channels depend on your installed integrations.

Some channels come with user-friendly template editors, especially for email and web campaigns. These editors allow you to design templates for both desktop and mobile versions, preview them, and send test SMS directly to your phone. ODP templates save the structure and design of your content for future use, and web campaigns include built-in recipes for easily capturing customer data like email addresses and phone numbers.

Omnichannel campaigns

Omnichannel campaigns are important for running cohesive marketing efforts across multiple channels while delivering consistent messaging and experiences to customers at each touchpoint. They help increase conversions by reaching customers through their preferred channels with targeted messages and offers, ensuring a standardized interaction with your brand, regardless of the device or channel used.

Use cases:

Unified customer experience: Your customers can browse products in-store, compare prices on their phones, and make purchases on their tablets without re-identifying themselves when switching channels.
Channel-Specific Messaging: If a customer lacks an email address but has a valid web push token, they will receive the web push message and advance to the next campaign stage.

Campaign attribution tool

Use the campaign attribution tool (Activation>Attribution) to evaluate customer touchpoints and determine which channels and messages influenced their decision to convert or take a desired next step. This will help you in making more informed decisions for future campaigns.

Use cases: Imagine an e-commerce company running multiple marketing campaigns across channels like Google Ads, Facebook Ads, email newsletters, and influencer partnerships. Using ODP's attribution tool, this company can analyze the effectiveness of these campaigns and optimize its marketing strategy. By employing attribution models such as first-touch, last-touch, or multi-touch, the company can identify which channels drive the most conversions. For example, they might find that Facebook Ads are effective for initial awareness, while email newsletters drive conversions later in the funnel.

Summary

ODP is an advanced tool designed to store unified and comprehensive customer profiles, analyze and interpret customer data, and activate this data through a wide range of targeted campaigns aimed at specific recipient groups. By employing ODP, you can increase customer engagement with your brand, leading to higher conversion rates and increased revenues.

The benefits of using a Customer Data Platform (CDP) like ODP are particularly strong for e-commerce businesses or those conducting online sales. ODP provides invaluable insights, which show how users browse and purchase products and extensive statistics that reveal how often users buy and how much they spend. Also, ODP's targeting capabilities based on various product interactions allow for highly personalized and effective marketing strategies.

However, there are challenges associated with implementing a ODP, including data processing complexities, the need for legal department involvement, and necessary privacy policy adjustments. Despite these challenges, the advantages of a ODP can far outweigh the difficulties, offering significant improvements in customer engagement and business performance.

If you're considering whether ODP is the right solution for your business, contact us, and we'll help analyze your situation to find the best course of action.

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