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* Achieve business objectives; |
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* Automate marketing activities and test hypotheses. |
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-Product recommendations are generated using the [[Loymax AI>>doc:Main.General_information.Loymax_AI.WebHome]] module whose algorithms enable fast and accurate processing and analysis of large data volumes. Marketers and analysts can focus on developing business strategies while delegating technical big-data processing tasks to artificial intelligence for specific business purposes. |
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+Product recommendations are generated using the [[Loymax AI>>doc:Main.Loymax_AI.WebHome]] module whose algorithms enable fast and accurate processing and analysis of large data volumes. Marketers and analysts can focus on developing business strategies while delegating technical big-data processing tasks to artificial intelligence for specific business purposes. |
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Business goals achieved through personalized communications using product recommendations: |
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(% class="box warningmessage" %) |
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((( |
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-* To use these algorithms in **Product Recommendations** macros within [[Smart Communications>>doc:Main.Usage.Smart_Communications.WebHome]], please contact Loymax specialists. |
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+* To use these algorithms in **Product Recommendations** macros within [[Smart Communications>>doc:Main.Smart_Communications.SMC_Use.WebHome]], please contact Loymax specialists. |
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* The Product Recommendations module is an optional, separately licensed feature available on a paid basis. |
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))) |
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Currently, 5 algorithms are available for generating product recommendations: |
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-(% class="table-bordered table-sticky" %) |
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-(% class="info" %)|(% style="text-align:center; width:58px" %)**No.**|(% style="text-align:center; width:409px" %)**Name**|(% style="text-align:center; width:495px" %)**Metavariable/macro for use in [[Smart Communications campaigns>>doc:Main.Smart_Communications.SMC_Use.Mass_messaging.WebHome]]**|(% style="text-align:center; width:477px" %)**Example of macro output in final message (shown for email)** |
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-|(% style="width:58px" %)1.|(% style="width:409px" %)**[[Popular Products>>doc:||anchor="01"]]**|(% style="width:495px" %){% set clientRecommendation = client.recommendations('**Popular**') %} |
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-{% for recommendation in clientRecommendation~|get(3) %} |
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-<br>~{~{recommendation.name}} |
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-{% endfor %}|(% style="width:477px" %)((( |
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-Product Name 1 |
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-Product Name 2 |
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-Product Name 3 |
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-))) |
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-|(% style="width:58px" %)2.|(% style="width:409px" %)**[[Popular Products in Category>>doc:||anchor="02"]]**|(% style="width:495px" %){% set clientRecommendation = client.recommendations('**PopularsCategory**') %} |
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-{% for recommendation in clientRecommendation~|get(3) %} |
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-<br>~{~{recommendation.name}} |
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-{% endfor %}|(% style="width:477px" %)Product Name 1 |
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-Product Name 2 |
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-Product Name 3 |
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-|(% style="width:58px" %)3.|(% style="width:409px" %)**[[Bought Together>>doc:||anchor="03"]]**|(% style="width:495px" %){% set clientRecommendation = client.recommendations('**BoughtTogether**') %} |
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-{% for recommendation in clientRecommendation~|get(3) %} |
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-<br>~{~{recommendation.name}} |
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-{% endfor %}|(% style="width:477px" %)Product Name 1 |
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-Product Name 2 |
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-Product Name 3 |
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-|(% style="width:58px" %)4.|(% style="width:409px" %)**[[Similar Products>>doc:||anchor="04"]]**|(% style="width:495px" %){% set clientRecommendation = client.recommendations('**SimilarProducts**') %} |
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-{% for recommendation in clientRecommendation~|get(3) %} |
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-<br>~{~{recommendation.name}} |
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-{% endfor %}|(% style="width:477px" %)Product Name 1 |
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-Product Name 2 |
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-Product Name 3 |
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-|(% style="width:58px" %)5.|(% style="width:409px" %)**[[Personalized Product Recommendations>>doc:||anchor="05"]]**|(% style="width:495px" %){% set clientRecommendation = client.recommendations('**RelatedPurchases**') %} |
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-{% for recommendation in clientRecommendation~|get(3) %} |
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-<br>~{~{recommendation.name}} |
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-{% endfor %}|(% style="width:477px" %)Product Name 1 |
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-Product Name 2 |
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-Product Name 3 |
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+* [[Popular Products>>doc:||anchor="01"]] |
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+* [[Popular Products in Category>>doc:||anchor="02"]] |
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+* [[Bought Together>>doc:||anchor="03"]] |
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+* [[Similar Products>>doc:||anchor="04"]] |
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+* [[Personalized Product Recommendations>>doc:||anchor="05"]] |
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(% class="box infomessage" %) |
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**Notes:** |
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-1. Since the product recommendation macro operates on a list of recommendations, specific items are inserted into the message body using the control structures shown in the table above. See an example of the **Product Recommendations** module control structure [[here>>doc:.Control_structure.WebHome]]. |
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+1. Since the product recommendation macro operates on a list of recommendations, specific items are inserted into the message body using the control structures shown in the table above. See an example of the **Product Recommendations** module control structure [[here>>doc:Main.Smart_Communications.SMC_Use.Recommendations.WebHome||anchor="HDisplayingrecommendationsinmessages"]]. |
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1. API methods for integration into client-facing services ([[Mobile Application>>doc:Main.General_information.Additional_services.Mobile_app.WebHome]], [[Personal Account>>doc:Main.General_information.Additional_services.Personal_account.WebHome]]) are provided upon separate request to Loymax staff. |
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))) |
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(% class="table-bordered" style="width:1218px" %) |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** |
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-|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not purchased|(% style="width:446px" %)((( |
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+|(% style="width:399px" %)[[Abandoned View>>doc:Main.Smart_Communications.SMC_Use.Campaigns.Triggers.WebHome||anchor="abandonedview"]]|(% style="width:370px" %)Product viewed but not purchased|(% style="width:446px" %)((( |
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Customer viewed a product page and then left the site. |
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After a defined time interval (t), send an email featuring the most popular products. |
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))) |
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-|(% style="width:399px" %)[[**Abandoned Category View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E44244043A43044243543343E440438438"]]|(% style="width:370px" %)Category viewed but nothing purchased|(% style="width:446px" %)((( |
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+|(% style="width:399px" %)[[Abandoned Category View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="abandonedcatview"]]|(% style="width:370px" %)Category viewed but nothing purchased|(% style="width:446px" %)((( |
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Customer browsed a product category and then left the site. |
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After a defined time interval (t), send an email featuring the most popular products. |
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))) |
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-|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)((( |
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+|(% style="width:399px" %)[[Abandoned Cart>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="abandonedcart"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)((( |
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Customer added a product to the cart and then left the site. |
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After a defined time interval (t), send a reminder email about the abandoned cart along with the most popular products. |
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(% class="table-bordered" style="width:1218px" %) |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** |
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-|(% style="width:399px" %)[[**Website Homepage**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143544243843B441430439442"]]|(% style="width:370px" %)Website visit|(% style="width:446px" %)**Popular Products** section. |
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+|(% style="width:399px" %)[[Website Homepage>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="site_visit"]]|(% style="width:370px" %)Website visit|(% style="width:446px" %)**Popular Products** section. |
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Customer is on the homepage. The most popular products are displayed. |
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-|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:370px" %)Product view|(% style="width:446px" %)**Popular Products** section. |
|
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+|(% style="width:399px" %)[[Current Product Page View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="product_view"]]|(% style="width:370px" %)Product view|(% style="width:446px" %)**Popular Products** section. |
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Customer is viewing a product. The most popular products are displayed. |
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-|(% style="width:399px" %)[[**Current Category Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A44243E43244344E43A43044243543343E44043844EA043D430441430439442435"]]|(% style="width:370px" %)Category view|(% style="width:446px" %)**Popular Products** section. |
|
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+|(% style="width:399px" %)[[Current Category Page View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="cat_view"]]|(% style="width:370px" %)Category view|(% style="width:446px" %)**Popular Products** section. |
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Customer is browsing a category. The most popular products are displayed. |
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|
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==== 4. General concept of the Popular Products algorithm ==== |
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@@ -169,8 +169,8 @@ |
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(% class="table-bordered" style="width:1218px" %) |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** |
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-|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not purchased|(% style="width:446px" %)Send an email after X days recommending the most popular products in the same category. |
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-|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days recommending the most popular products in the same category. |
|
143 |
+|(% style="width:399px" %)[[Abandoned View>>doc:Main.Smart_Communications.SMC_Use.Campaigns.Triggers.WebHome||anchor="abandonedview"]]|(% style="width:370px" %)Product viewed but not purchased|(% style="width:446px" %)Send an email after X days recommending the most popular products in the same category. |
|
144 |
+|(% style="width:399px" %)[[Abandoned Cart>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="abandonedcart"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days recommending the most popular products in the same category. |
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==== 3. Use cases for the Popular Products in Category algorithm in website personalization ==== |
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|
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|
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(% class="table-bordered" style="width:1218px" %) |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:369px" %)**Trigger**|(% style="text-align:center; width:447px" %)**Use Case** |
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-|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**Compared With This Product** section. |
|
152 |
+|(% style="width:399px" %)[[Current Product Page View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="product_view"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**Compared With This Product** section. |
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Recommend popular products from the same category based on the currently viewed item. |
| 183 |
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|
| 184 |
184 |
==== 4. General concept of the algorithm ==== |
| ... |
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@@ -203,14 +203,14 @@ |
| 203 |
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|
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(% class="table-bordered" style="width:1218px" %) |
| 205 |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** |
| 206 |
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-|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email after X days with alternative products similar to those viewed by the customer. |
| 207 |
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-|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days with alternative products similar to those viewed by the customer. |
|
177 |
+|(% style="width:399px" %)[[Abandoned View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="abandonedview"]]|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email after X days with alternative products similar to those viewed by the customer. |
|
178 |
+|(% style="width:399px" %)[[Abandoned Cart>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="abandonedcart"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days with alternative products similar to those viewed by the customer. |
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|
| 209 |
209 |
==== 3. Use cases for the Similar Products algorithm in website personalization ==== |
| 210 |
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|
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(% class="table-bordered" style="width:1218px" %) |
| 212 |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:369px" %)**Trigger**|(% style="text-align:center; width:447px" %)**Use Case** |
| 213 |
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-|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**You Might Like** section. |
|
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+|(% style="width:399px" %)[[Current Product Page View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="product_view"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**You Might Like** section. |
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Recommend alternative products similar to the one currently viewed by the customer. |
| 215 |
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|
| 216 |
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==== 4. General concept of the algorithm ==== |
| ... |
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@@ -235,22 +235,22 @@ |
| 235 |
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|
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(% class="table-bordered" style="width:1218px" %) |
| 237 |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** |
| 238 |
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-|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the item viewed by the customer. |
| 239 |
|
-|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the items in the customer’s cart. |
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-|(% style="width:399px" %)[[**Thank You for Your Purchase!**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H42143443543B43043D43743043A430437"]]|(% style="width:370px" %)Customer made a purchase|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the items in the customer’s order. |
|
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+|(% style="width:399px" %)[[Abandoned View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="abandonedview"]]|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the item viewed by the customer. |
|
210 |
+|(% style="width:399px" %)[[Abandoned Cart>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="abandonedcart"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the items in the customer’s cart. |
|
211 |
+|(% style="width:399px" %)[[Thank You for Your Purchase!>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="order_complete"]]|(% style="width:370px" %)Customer made a purchase|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the items in the customer’s order. |
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|
| 242 |
242 |
==== 3. Use cases for the Bought Together algorithm in website personalization ==== |
| 243 |
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|
| 244 |
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(% class="table-bordered" style="width:1218px" %) |
| 245 |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:369px" %)**Trigger**|(% style="text-align:center; width:447px" %)**Use Case** |
| 246 |
|
-|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**Frequently Bought Together** section. |
|
217 |
+|(% style="width:399px" %)[[Current Product Page View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="product_view"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**Frequently Bought Together** section. |
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Recommend complementary products. |
| 248 |
|
-|(% style="width:399px" %)[[**Product Added to Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41443E43143043243B43543D44243E43243044043243A43E43D44243543943D435440"]]|(% style="width:369px" %)Product added to cart|(% style="width:447px" %)**Frequently Bought Together** section. |
|
219 |
+|(% style="width:399px" %)[[Product Added to Cart>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="container_add"]]|(% style="width:369px" %)Product added to cart|(% style="width:447px" %)**Frequently Bought Together** section. |
| 249 |
249 |
Recommend complementary products. |
| 250 |
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|
| 251 |
251 |
==== 4. General concept of the Bought Together algorithm ==== |
| 252 |
252 |
|
| 253 |
|
-This algorithm incorporates a series of models and techniques based on the **[[Association Rule Learning>>https://en.wikipedia.org/wiki/Association_rule_learning]]** methodology. |
|
224 |
+This algorithm incorporates a series of models and techniques based on the [[Association Rule Learning>>https://en.wikipedia.org/wiki/Association_rule_learning]] methodology. |
| 254 |
254 |
|
| 255 |
255 |
Association rules for product recommendations consist of logical rules that identify relationships between products and generate recommendations based on those relationships. These rules help predict which products may interest a customer and offer relevant suggestions based on prior purchases or current browsing behavior, thereby enhancing personalization and customer satisfaction. |
| 256 |
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|
| ... |
... |
@@ -299,22 +299,22 @@ |
| 299 |
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(% class="table-bordered" style="width:1218px" %) |
| 300 |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** |
| 301 |
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|(% style="width:399px" %)((( |
| 302 |
|
-[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]] |
|
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+[[Abandoned View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="abandonedview"]] |
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|
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|
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)))|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email X hours after viewing. |
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-|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email X days after adding to cart. |
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-|(% style="width:399px" %)**Purchase Recommendations**|(% style="width:370px" %)[[Customer made a purchase>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H42143443543B43043D43743043A430437"]]|(% style="width:446px" %)Send an email X days after purchase. |
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+|(% style="width:399px" %)[[Abandoned Cart>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="abandonedcart"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email X days after adding to cart. |
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+|(% style="width:399px" %)**Purchase Recommendations**|(% style="width:370px" %)[[Customer made a purchase>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="order_complete"]]|(% style="width:446px" %)Send an email X days after purchase. |
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|(% style="width:399px" %)**Declining Purchase Amount**|(% style="width:370px" %)Customer’s purchase amount decreased by X% over a period|(% style="width:446px" %)If purchase amount drops by X%, send an email with personalized product recommendations. |
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-|(% style="width:399px" %)[[**Declining Website Visits**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41F44043E44843B43E43443D43543944143F43E44143B43543443D43543343E43F43E44143544943543D43844F441430439442430"]]|(% style="width:370px" %)Customer hasn’t visited the site|(% style="width:446px" %)Send an email if the customer hasn’t visited the site in X days. |
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+|(% style="width:399px" %)[[Declining Website Visits>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="time_since_visit"]]|(% style="width:370px" %)Customer hasn’t visited the site|(% style="width:446px" %)Send an email if the customer hasn’t visited the site in X days. |
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==== 3. Use cases for the Personalized Product Recommendations algorithm in website personalization ==== |
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(% class="table-bordered" style="width:1227px" %) |
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(% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:369px" %)**Trigger**|(% style="text-align:center; width:452px" %)**Use Case** |
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-|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product page view|(% style="width:452px" %)**You Might Like** or **Just for You** section. |
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+|(% style="width:399px" %)[[Current Product Page View>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="product_view"]]|(% style="width:369px" %)Product page view|(% style="width:452px" %)**You Might Like** or **Just for You** section. |
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Recommendations related to the viewed product. |
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-|(% style="width:399px" %)[[**Website Login**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143544243843B441430439442"]]|(% style="width:369px" %)Authorized customer login|(% style="width:452px" %)**You Might Like** or **Just for You** section. |
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+|(% style="width:399px" %)[[Website Login>>doc:Main.Usage.Smart_Communications.Campaigns.Triggers.WebHome||anchor="site_visit"]]|(% style="width:369px" %)Authorized customer login|(% style="width:452px" %)**You Might Like** or **Just for You** section. |
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Recommendations related to the viewed product. |
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==== 4. General concept of the Personalized Product Recommendations algorithm ==== |
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The **Personalized Product Recommendations** algorithm is an ensemble of multiple models and algorithms. Its foundation is the [[Collaborative Filtering>>https://en.wikipedia.org/wiki/Collaborative_filtering]] technique. |
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Using this method within an ensemble of models—alongside other algorithms—produces more relevant product recommendations for each customer. |
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-**Collaborative filtering** is a method for generating predictions (recommendations) in [[recommendation systems>>doc:Main.General_information.Loymax_Loyalty.recommendation_systems.WebHome]] by leveraging known preferences (ratings) from a group of customers to predict unknown preferences for another customer. |
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+**Collaborative filtering** is a method for generating predictions (recommendations) in [[recommendation systems>>doc:Main.General_information.Loymax_Loyalty.Recommendation_systems.WebHome]] by leveraging known preferences (ratings) from a group of customers to predict unknown preferences for another customer. |
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The core assumption of this method is: customers who have purchased similar products/categories in the past are likely to make similar future purchases of other products they haven’t bought yet—but that their nearest “neighbors” (i.e., customers with highly similar purchase histories) have purchased. |
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**See also:** |
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-* [[Product Recommendations Module Control Structure>>doc:.Control_structure.WebHome]] |
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-* [[Recommendation System Integration>>doc:Main.General_information.Loymax_Loyalty.recommendation_systems.WebHome]] |
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-* [[Omnichannel>>doc:Main.General_information.Sale_channels.WebHome]] |
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-* [[Attributes Related to Loymax AI>>doc:Main.Usage.MMP.Admin_panel.Client_attributes.Common_attributes.WebHome||anchor="ML"]] |
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+* [[Configuring product recommendations>>doc:Main.Smart_Communications.SMC_Use.Recommendations.WebHome]] |
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+* [[Recommendation System Integration>>doc:Main.General_information.Loymax_Loyalty.Recommendation_systems.WebHome]] |
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+* [[Omnichannel strategy>>doc:Main.General_information.Omnichannel.WebHome]] |
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+* [[Attributes Related to Loymax AI>>doc:Main.Usage.MMP.Admin_panel.Customer_attributes.Attributes.WebHome||anchor="ML"]] |
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* [[Personal Offers Using Machine Learning Mechanics>>doc:Main.Installation_and_configuration.Extra_modules.CommunicationService_ML.WebHome]] |
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))) |
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