---
schema_version: "1"
id: c5d6f51da9b00205f87159099be3b6c13efa2adbd868ba458c536ba3152c43fb
title: Examples of Offer Personalization
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/offers_examples_recommenders_personalization_points.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.offers_examples_recommenders_personalization_points.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: e4223ebd8970845cbdb06f82e52a8fc5b6041d400abdec2c0a6f3762b5ead41e
description: Learn how you can configure recommenders and personalization points to apply the most relevant offers.
products:
  - Marketing
release: "264"
---
# Examples of Offer Personalization

Learn how you can configure recommenders and personalization points to apply the most relevant offers.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: Lightning Experience</td></tr><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: <strong>Enterprise</strong>,&nbsp;<strong>Unlimited</strong>, and&nbsp;<strong>Developer</strong>&nbsp;Editions with Real-Time Offer Management and Salesforce Personalization</td></tr></tbody></table>

## Recommenders

Use the Real-Time Profile, Offer, and Offer Treatment data graphs to create recommenders, and then configure recommendations based on rules or objectives.

Here are some examples of offer recommenders for some common business scenarios.

 
| Business Requirement | Recommender |
| --- | --- |
| Determine offers for new users. | Create a rule-based recommender that uses the Real-Time Profile and Offer data graphs to return offers sorted by average priority in ascending order. |
| Recommend offers based on real-time browsing activity. | Create a rule-based recommender that returns offers in ascending order of average priority. Then, add filters to specify the product interactions that are eligible for these offers. |
| Recommend offers that are currently active. | Create a recommender that uses the Offer data graph. Use its default filters for Status, Start Date Time, and End Date Time to return only active offers that are within their available date range. |

## Response Templates

Define the configuration options available to marketers when they’re building a personalization decision. The response template also ensures that all decision responses for a given personalization point return data in the same format.

Here are some examples of response templates for offer treatments.

 
| Business Requirement | Recommender |
| --- | --- |
| Response template for offer treatment recommendations. | Create a response template with the Recommendations personalization type, and then select the offer treatment fields that you want to use in the response. For example, Offer, Offer Heading, Offer Body, Call to Action Text, Call to Action URL, Internal CMS Folder URL, and Language. |

## Personalization Points

Delivers personalized content by tying together a data space, profile data graph, personalization type, and response template.

For example, create personalization points for:

- Website banners
- Website widgets

## Decisions and Targeting Rules

For each personalization point, segregate customers using targeting rules and use the appropriate offer treatment recommenders.

Here are some examples of decisions and targeting rules:

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small ">
        <colgroup>
          <col style="width:33.33333333333333%">
          <col style="width:66.66666666666666%">
        </colgroup>
        <thead class="slds-text-title_caps ">
          <tr class="">
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d3459e203">Business Requirement</th>
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d3459e206">Personalization Points</th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="Business Requirement" class="slds-cell-wrap" style="vertical-align:top;" headers="d3459e203 ">Apply top offer treatments when there's no user activity</td>

            <td data-label="Personalization Points" class="slds-cell-wrap" style="vertical-align:top;" headers="d3459e206 ">
              <ul>
                <li>Select a recommender that recommends offers with the highest average
                  priority.</li>

                <li>Define targeting rules to identify users who don't have any product browse engagement
                  activity.</li>

              </ul>
            </td>

          </tr>
          <tr class="">
            <td data-label="Business Requirement" class="slds-cell-wrap" style="vertical-align:top;" headers="d3459e203 ">Apply offers when a user browses or adds specific products to cart</td>

            <td data-label="Personalization Points" class="slds-cell-wrap" style="vertical-align:top;" headers="d3459e206 ">
              <ul>
                <li>Select a recommender that recommends offer templates based on real-time browsing
                  activity.</li>

                <li>Define targeting rules that identify eligible users based on the product browse
                  engagement with specific products.</li>

              </ul>
            </td>

          </tr>
        </tbody>
      </table>