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The Omeda Experience
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Documentation
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- Brand Comprehensive Lookup Service
- Brand Promotions Quantity
- Brand Group Lookup
- Brand Promotions Content By Promo Code
- Brand Promotions By Promo Code
- Behavior Categories Lookup
- Behavior Actions Lookup
- Behavior Lookup Grouped By Product
- Behavior Lookup By Id
- Behavior Lookup
- Demographic Lookup by Brand API
- Deployment Type Lookup by Brand API
- Product Lookup by Brand API
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- Customer Lookup By Email Address
- Subscription Lookup By Customer Id
- Order History Lookup by Customer Id
- Customer Lookup by Hashed Email Address
- Email Address Lookup By Customer Id
- Gift Lookup by Donor ID
- Behavior Lookup By Customer Id
- Subscription Lookup By Email
- Customer Merge History Lookup
- Customer Lookup By Name and Country
- External ID Lookup By Customer Id
- Demographic Lookup By Customer Id
- Phone Lookup By Customer Id
- Postal Address Lookup By Customer Id
- Customer Change Lookup
- Customer Comprehensive Lookup By Customer Id
- Customer Lookup By EncryptedCustomerId
- Customer Lookup By External ID
- Customer Lookup By PostalAddressId
- Customer Lookup By Customer Id
- Email Validity Lookup API
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- Email On Demand Send
- Email Deployment
- Email Deployment Clone
- Email Deployment Remove Audience
- Email Audience Assignment Status
- Email Deployment Content
- Email Deployment Approval Lookup
- Email Deployment Schedule
- Email Deployment Cancel
- Email Deployment Search
- Email Flag Email As Invalid
- Email Clicks
- Email - Checklist for Sends Created via API Calls
- Email Deployment Content Lookup
- Email Deployment Unschedule
- Email Deployment Lookup
- Email Deployment Test
- Email Deployment Add Audience
- Email Opt In/Out Lookup
- Email Optout Queue
- Email Optin Queue
- Email Deployment Audience List FTP
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- Release Notes for Jan 27 | V23.2
- Release Notes for Feb 17 | V23.3
- Release Notes for Mar 10 | V23.4
- Release Notes for Mar 31 | V23.5
- Release Notes for Apr 21 | V23.6
- Release Notes for May 19 | V23.7
- Release Notes for June 2 | V23.8
- Release Notes for June 23 | V23.9
- Release Notes for July 14 | V23.10
- Release Notes for Aug 4 | V23.11
- Release Notes for Aug 25 | V23.12
- Release Notes for Sep 15 | V23.13
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- Release Notes for Jan 14 | V22.1
- Release Notes for Feb 4 | V22.2
- Release Notes for Feb 25 | V22.3
- Release Notes for Mar 18 | V22.4
- Release Notes for Apr 8 | V22.5
- Release Notes for Apr 29 | V22.6
- Release Notes for May 20 | V22.7
- Release Notes for June 10 | V22.8
- Release Notes for July 1 | V22.9
- Release Notes for July 22 | V22.10
- Release notes for Aug 12 | V22.11
- Release Notes for Sep 2 | V22.12
- Release Notes for Sep 23 | V22.13
- Release Notes for Oct 14 | V22.14
- Release Notes for Nov 4 | V22.15
- Release Notes for Dec 2 | V22.16
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- Release Notes for V21.1
- Release Notes for V21.2
- Release Notes for V21.3
- Release Notes for V21.4
- Release Notes for V21.5
- Release Notes for V21.6
- Release Notes for V21.7
- Release Notes for V21.8
- Release Notes for V21.9
- Release Notes for V21.10
- Release Notes for V21.11
- Release Notes for V21.12
- Release Notes for V21.13
- Release Notes for V21.14
- Release Notes for V21.15
- Release Notes for V21.16
- Release Notes for V21.17
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- Release Notes for V20.1
- Release Notes for V20.2
- Release Notes for V20.3
- Release Notes for V20.4
- Release Notes for V20.5
- Release Notes for V20.6
- Release Notes for V20.7
- Release Notes for V20.8
- Release Notes for V20.9
- Release Notes for V20.10
- Release Notes for V20.11
- Release Notes for V20.12
- Release Notes for V20.13
- Release Notes for V20.14
- Release Notes for V20.15
- Release Notes for V20.16
- Release Notes for V20.17
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- Release Notes for V19.1
- Release Notes for V19.2
- Release Notes for V19.3
- Release Notes for V19.4
- Release Notes for V19.5
- Release Notes for V19.6
- Release Notes for V19.7
- Release Notes for V19.8
- Release Notes for V19.9
- Release Notes for V19.10
- Release Notes for V19.11
- Release Notes for V19.12
- Release Notes for V19.13
- Release Notes for V19.14
- Release Notes for V19.15
- Release Notes for V19.16
- Release Notes for V19.17
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CDP – Customer Data Platform
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- Personalization Overview
- Personalization - FAQs
- Personalization - Reporting
- Personalization - Archiving & Restoring
- Personalization - HTML Templates
- Personalization - Scroll Trigger and Infinite Scroll Pages
- Personalization - Merge Variables
- Personalization - 'Generate Personalization' Option
- Personalization & Metering - Click Tracking
- GDPR Consent Management
- Form Builder - Embedding Webforms via iFrame or Javascript
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Integrations
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- Integration with Zapier
- Bring Customer Data in via Webhooks by Zapier Action - POST Event
- Bring Customer Data in using Zapier
- Omeda's Add Customer Action in Zapier
- Send Form Submission Data via Zapier
- Bring Customer Data in via Webhooks by Zapier Action – Custom Request Event
- Formatter by Zapier Action
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Analytics & Reporting
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- Odyssey - Reporting
- Personalization - Reporting
- Reports - Email Device and Client Type Reporting
- Email - Clickbot Reporting
- Reports - Email Reporting
- Metering - Reporting
- Reports - Audience Overlap Report
- Reports - Engaged Companies Report
- Reports-AutoRenewals Analysis Report
- Reports - Audience Report
- Reports - Issue Activity Reporting
- Reports - Overview
- Reports - Web Behavior Reporting
- Reports- FAQs
- Reports - Data Tracker Reporting
- Reports - Audience Builder (OnQ) Reporting
- Form Submit Report
- Behavior Promo Code Report
- Reporting Library
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Marketing Automation & Email Builder
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- Email On Demand Send
- Email Deployment
- Email Deployment Clone
- Email Deployment Remove Audience
- Email Audience Assignment Status
- Email Deployment Content
- Email Deployment Approval Lookup
- Email Deployment Schedule
- Email Deployment Cancel
- Email Deployment Search
- Email Flag Email As Invalid
- Email Clicks
- Email - Checklist for Sends Created via API Calls
- Email Deployment Lookup
- Email Deployment Test
- Email Deployment Add Audience
- Email Opt In/Out Lookup
- Email Optout Queue
- Email Optin Queue
- Email Deployment Audience List FTP
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- Email Builder - User Guide
- Email - Clickbot Reporting
- Reports - Email Reporting
- Email - Link Tracking Errors
- Email - Deployment Defaults
- Omeda - Getting Support
- Email - Checklist for Sends Created via API Calls
- Email - Assigning Link Tracking Categories
- Email - Deliverability
- Email - Opt-Out Footer Merge Variable
- Email - Stealth Link
- Email - Behavioral Data
- Email - Automation for Email Sending
- Email - Checklist for New Clients
- Email - Deployment Type Creation
- Email – Training Schedules for New Clients
- Email - Request a New Deployment Type
- Email - Adding Domains to Safe Sender List
- Email - Deployment Checklist & Best Practices
- Email Deployment Unschedule
- Email Builder - Getting Started
- Campaign App - Overview
- Email - Automated ACS Notifications
- Email - Dynamic Content
- Email - Recurring Deployments
- Email - FAQs
- Email - Web Tracking
- Email - Validation Services
- Email Services - Overview & Capabilities
- Email - Web Tracking String Parameter Definitions
- Email - Appending Lists On Triggered Deployments
- Email - Preference Page
- Email - A/B Testing
- Email - Triggered Deployments
- Email - Merge Variables
- Email - User Set-up
- Email - Advanced Features
- Email - Glossary
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- Odyssey - Audience Element
- Odyssey - Timing Elements
- Odyssey - Adroll Elements
- Odyssey - Facebook Elements
- Odyssey - Filter Element
- Odyssey - Form Submit Element
- Odyssey - Pathfinder Element
- Odyssey - Export Element
- Odyssey - Split Element
- Odyssey - Personalization Element
- Odyssey - Metering Element
- Odyssey - Email Element
- Odyssey - Goal Element
- Odyssey - A/B Test Element
- Odyssey - Google Ad Manager Element
- Odyssey Fatigue Filter Element
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- Odyssey Overview
- Odyssey - FAQs
- Odyssey - Editing an In Progress Voyage
- Odyssey - Reporting
- Odyssey - Querying Element Visitors in Audience Builder
- Odyssey - Using Profiles
- Odyssey - Creating Custom Templates
- Odyssey - Global Settings
- Odyssey - Email Conditions
- Odyssey - Omeda's Email Designer
- Odyssey - Email Designer Templates
- Odyssey - Voyage Templates
- Odyssey - Merging Paths
- Odyssey - Email Merge Variables
- Odyssey - Error Troubleshooting
- Odyssey - Dynamic Content
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Data Management & Governance
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- Odyssey - Querying Element Visitors in Audience Builder
- Audience Builder - Product Field Library
- Examples of Audience Builder Queries Using Paid Fields
- Querying Olytics Your Olytics Data
- Data Loader - Querying in Audience Builder
- Email - Behavioral Data
- Audience Builder (OnQ) - Date Field Definitions
- Audience Builder (OnQ) - How To Query Customers
- Audience Builder (OnQ) - Query Result Outputs
- Audience Builder (OnQ) - Overview
- Reports - Audience Builder (OnQ) Reporting
- Audience Builder (OnQ) - Admin User Guide
- Audience Builder (OnQ) - Advanced Features
- Audience Builder (OnQ) - Match Evaluation
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Subscription & Fulfillment Management
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Forms & Landing Pages
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- Form Builder (Dragon) - Overview
- How To Use Progressive Profiling
- Using a Custom Domain for your Dragon Webform
- Dragon Forms URL Structure and Appending Parameters
- Best Practices for Testing Forms
- Test Links v. Live Links
- Styling Your Dragon Webforms
- CredSpark - Omeda Form Listener Integration
- Using Dragon Form Builder to capture a Behavior Subscription Attribute
- Form Builder ADA Compliance
- Form Builder (Dragon) Themes
- 2020 Form Builder Updates
- Form Builder - Using Campaign Promo Codes
- Form Builder - Using the PayPal Payment Method
- Form Builder - Embedding Webforms via iFrame or Javascript
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- How To Use A/B Testing on your Dragon Webform (video)
- How to conditionally display a question on your form (video)
- How to create and add an email confirmation to your form (video)
- How to update a demographic (video)
- How to send a user back to your website after form submission (redirect to a return URL)
- Form Builder - Export URL
- Form Builder - Adding a This Is Not Me Widget
- Form Builder - Embedding Webforms via iFrame or Javascript
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Success Use Cases
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Professional Services
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Video Library
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FAQs
Engagement Metrics & Segmentation
Engagement Scoring offers a Data Science-driven customer segmentation service/product. We have developed engagement profiles of individual customers based on web (Olytics) and email (Email Builder) interactions. Profiles consist of various engagement metrics derived from amount and timing of interactions. Once engagement metrics have been generated for all relevant customers an unsupervised machine learning technique called clustering is implemented to segment the customers into broader levels of engagement. The results are recalculated and updated nightly and can be queried in Audience Builder. Engagement Scores are calculated separately for both web and email activity.
Engagement Metrics
We measure engagement based on five factors: total # of interactions (aka “volume”), frequency, recency, intensity, and momentum.
- Volume measures the amount of positive interactions a customer has had with a client
- Frequency measures the rate of positive interactions that occur for this customer over time
- Recency measures how recent a customer has interacted with client
- Intensity is analogous to “depth” in relation to engagement. It measures how deep a customer engages each session (session=day).
- Momentum is a ratio of a customer’s recent interaction compared to that customer’s historical interaction. This metric prioritizes recent engagement compared to usual engagement.
Once values are calculated for each customer, engagement metrics are cleaned for extreme outliers (z-scores < 3) then normalized (using boxcox transformation) and finally binned into relative “scores” ranging from 0 – 100. 100 being the most frequent/recent/intense visitors.
Important note: a customer may have several different scores depending on their activity. For example, if John Doe visited a web page and opened an email within a Profile of Defined Customers, John will have 2 row of scores (1 for each web and email) representing their relative engagement.
Customer Segmentation Clustering
Within each channel and profile an unsupervised learning algorithm is used to group customers by their type of interaction with a client’s brand. In aggregate we have found 4 meaningful segments of customers based on engagement that can be seen below.
Cluster | Cluster Name | Description |
A | At – Risk | At-Risk customers have a measurable history of engagement, but little to no activity in last 2 weeks. |
B | Consistently Engaged | Consistently engaged refers to customers with higher total # interactions, frequency, and intensity scores. These customers are visiting often as well as consistently over a longer period of time. |
C | Recently Engaged | Recently engaged refers to customers with highest recency and momentum scores. These customers are the most recent visitors that have significantly increased engagement in the last 14 days. |
D | Unscored | Unscored customers have either never opened an email or have recorded less than 3 olytics behaviors. This is not enough activity to generate meaningful engagement scores. |
Overall Engagement Scores
An added feature to engagement scoring is the “overall engagement score” that is an average of a customer’s web and email scores (note: not all customers have both web and email activity so they will not have an overall score). This metric aims to measure a customer’s level of engagement across both web and email channels. The overall score records are then also put through the clustering algorithm to assign overall scores to the same 4 segments seen in web and email.
The overall record is then assigned to a cluster in the same fashion as web and email.
Audience Builder
Audience Builder will have the following fields available for querying within the “Data Science” folder:
- “Web Engagement” Skittle which contains the following fields:
- Web Frequency Score (numeric field, valid values 0-100) – should allow for numeric ranges
- Web Recency Score (numeric field, valid values 0-100) – should allow for numeric ranges
- Web Intensity Score (numeric field, valid values 0-100) – should allow for numeric ranges
- Web Momentum Score (numeric field, valid values 0-100)- should allow for numeric ranges
- Web Cluster (multi select from clusters available) – should show Cluster Names as selectable
- “Email Engagement” Skittle which contains the following fields
- Email Frequency Score (numeric field, valid values 0-100) – should allow for numeric ranges
- Email Recency Score (numeric field, valid values 0-100) – should allow for numeric ranges
- Email Intensity Score (numeric field, valid values 0-100) – should allow for numeric ranges
- Email Momentum Score (numeric field, valid values 0-100)- should allow for numeric ranges
- Email Cluster (multi select from clusters available) – should show Cluster Names as selectable
- “Overall Engagement” Skittle which contains the following fields
- Frequency Score (numeric field, valid values 0-100) – should allow for numeric ranges
- Recency Score (numeric field, valid values 0-100) – should allow for numeric ranges
- Intensity Score (numeric field, valid values 0-100) – should allow for numeric ranges
- Momentum Score (numeric field, valid values 0-100)- should allow for numeric ranges