Phase 2 is designed to provide customers who cannot complete the full upgrade in the required timeframe with the ability to deliver Personalization recommendations through their existing rendering. If you choose to complete phase 2, rather than complete a full upgrade to the Personalization Library in phase 3, the following steps are required:
- Zone registration
- Register zones on website
- Register zones on website
- Offer and Rule Mapping to Product recommendations
- Evaluate the Legacy Digital Recommendations offers and business rules
- Map the Legacy Digital Recommendations zones to Acoustic Personalization zones
- Execute configured models and generate recommendations
- Test and launch Personalization decisioning with existing JavaScript
- Provide recommendation results powered by Acoustic Personalization
- Test and validate the implementation
- Adjust strategies and business rules to meet your business needs
Map Legacy Digital Recommendations offers to Product recommendation strategies
Specify the Legacy Digital Recommendations offers that should be mapped to product recommendation strategies.
To determine the Legacy Digital Recommendations offers that need to be migrated, perform these steps:
- Log in to the Legacy Digital Recommendations.
- US data center clients: https://intelligentoffer.coremetrics.com/
- EU data center clients: https://intelligentoffer.de.coremetrics.com/
- US data center clients: https://intelligentoffer.coremetrics.com/
- Go to the System Overview.
The offers being used that need to be migrated are Offers that are typically the following:- Offers used in active zones
- Offers used in active a/b tests
- Offers used in published image recommendation templates
Guidelines
- Legacy Digital Recommendations EPR Category offers will be mapped to the Most popular algorithm (with related parameters i.e. Timeframe, Measure of Popularity (Viewcount/Buycount/Margin/Revenue), Model Input)
- Legacy Digital Recommendations Product Cross Sell offers will be mapped to the algorithm that has the highest weightage in the Legacy Digital Recommendations offer.
For example, if a Legacy Digital Recommendations offer has a weightage as shown:
B2B: 100, V2B: 34, V2V: 5, A2B: 5 or B2B: 80, V2B: 15, V2V: 5, A2B: 0,
Then, it will be mapped to the Buy-to-Buy algorithm in Personalization.
Lookback time frame
One of the prerequisites for creating any strategy in Personalization Product Recommendations is the Lookback time frame value and should be specified by the DR customer during DR migration.
Product recommendations currently has 4 time frames: 1, 7, 14, 30 days.
For any Legacy Digital Recommendations offer that uses an analysis window >= 30 days, it is recommended to use a time frame of 30 days.
Mapping Legacy Digital Recommendations Business rules to product recommendations business rules
|
Legacy Digital Recommendations business rule |
Product recommendations business rule |
Notes |
|
Emphasize |
Boost |
Works on product attributes |
|
De-emphasize |
Bury |
Works on product attributes |
|
Promote |
Pin |
Works only on product ids |
|
Exclude |
Exclude |
Works on product attributes |
Configure Legacy Digital Recommendations rules in product recommendations
Using the new Product Recommendations means you have to map concepts from the Legacy Digital Recommendations to Product recommendations.
Here are a few examples that illustrate how you can map a zone or rules in Legacy Digital Recommendations to the zones and rules in product recommendations.
Example 1:
| Zone in Legacy Digital Recommendations | Zone in product recommendations | ||
| Field Name | Value | Field Name | Value |
| DR client ID | |||
| Channel Tenant Id | |||
| Channel Tenant Name | |||
| Zone Name | Specially For You - Home Page | Zone name | |
| Zone ID | MyZone | Registered zone ID | |
| Recommendation Plan | Just For You | Zone Description | |
| Offer | Just For You - Home Page | Strategy name | |
| Offer > Settings >Algorithm | View to view : 10% View to buy: 55% Buy to buy: 55% Abandon to buy: 15% |
Primary Algorithm | View to buy |
| Offer > Settings > Data Analysis Time Period | Session based :21 days | Lookback time frame | 21 days |
| Recommendation plan >Target | Last Viewed products | Type of data input | User behaviour |
| Model Input | Most recently viewed product(s) | ||
| Recommendation plan > Header text | Specially For You | ||
| Recommendation plan > Target | Last Purchased products | Type of data input | User behaviour |
| Model Input | Most recently purchased products | ||
| Recommendation plan > Header text | Specially For You | ||
Example 2:
| Zone in Legacy Digital Recommendations | Zone in product recommendations | ||
| Field Name | Value | Field Name | Value |
| DR client ID | |||
| Channel Tenant Id | |||
| Channel Tenant Name | |||
| Zone Name | Brand Home Page | Zone name | |
| Zone ID | Zone007 | Registered zone ID | |
| Recommendation Plan | Brand Personalization | Zone Description | |
| Offer | Brand Personalization by Brand Name | Strategy name | |
| Offer type | Attribute Based Offer | ||
| Offer > Settings > Algorithm | Primary Algorithm | Most Popular Category- All |
|
| Offer > Settings >Data Analysis Time Period | No of days :30 days | Lookback time frame | 30 days |
| Recommendation plan > Target | Specified Attribute values | Type of data input | Webpage |
| Model Input | Attributes | ||
| Recommendation plan > Header text | |||
Example 3:
| Zone in Legacy Digital Recommendations | Zone in product recommendations | ||
| Field Name | Value | Field Name | Value |
| Offer > Rules | |||
| Promote Rule 1 | Rule > Pin | ||
| Rule Class | Promote | ||
| Name | Promote Flower designs on women's t-shirts | ||
| Target condition | Category in(Women %27s t-shirts) AND Product name contains Flowers | ||
| Promote Id | 99999 | Rule condition | Id is 99999 |
| Exclude Rule 1 | Rule >Exclude | ||
| Rule Class | Exclude | ||
| Name | Exclude Chanel products from being recommended | ||
| Target condition | Brand is not "CHNL" | ||
| Exclude | Brand is "CHNL" | Rule condition | Brand is "CHNL" |
| Emphasize Rule 1 | |||
| Rule Class | Emphasize | ||
| Name | Promote ties with purchase of mens dress shirts | ||
| Target condition | Dept is '511' OR Dept is '514' OR Dept is '515' OR Dept is '516' OR Dept is '517' | ||
| Emphasize | Category in (ties) | ||
| Exclude all Rule 1 | Rule > Exclude | ||
| Rule Class | Exclude all | ||
| Name | Exclude all recommendations on Chanel pages | ||
| Target condition | Brand is "CHNL" | Rule condition | Brand is "CHNL" |
Update eluminate.js file to use Product Recommendations
Update your website to use the PR version of the eluminate.js file: https://cdn-personalization-us-1.goacoustic.com/acoustic/prod/lib/eluminate.js.
The product recommendations eluminate.js file has only been updated to point the internal URLs to the new environment. All logic in the eluminate.js file remains the same as the current version.
Notes:
After you have updated the eluminate.js file and have completed setting up the Acoustic Personalization Product recommendations, perform the following steps.
- If you are using Legacy Digital Recommendations Image Recommendations:
- Update your email templates to use the URL of product recommendations image recommendation servers.
- If you are using the Legacy Digital Recommendations Rest API:
- Update the API to use the URL of product recommendations image recommendation servers.
Important! In order to verify that the new recommendations are being delivered, you will want to deploy the new version of eluminate.js on your test website. Be sure to fully test the new recommendations before enabling the new eluminate.js on your production website.