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Engagement

PreviousRetentionNextSaaS Credit-Based

Last updated 1 month ago

Boost Engagement with Personalized Content Recommendations

Objective: Enhance user experience and maximize engagement by delivering personalized content and recommendations.

Solution: ELMA analyzes user preferences and historical behavior to curate content that aligns with each user's interests. It dynamically recommends relevant articles, videos, or features to ensure continuous engagement.

Goals: Increase platform interaction, keep users returning, and enhance satisfaction. Long-term, this also contributes to higher retention rates and increased lifetime value.

Steps:

  1. Login to ELMA: Visit and log in using Google or a new email ID. Verify the OTP if applicable.

  1. Set Up Account: Enter your name, company name, marketing goal, email frequency, and company size. Provide your company URL and click submit.

  1. Integrate with Data Sources: Navigate to the Integrations tab and connect ELMA to your relevant data sources. Here you can connect Elma to your product analytics tool or data warehouse like Mixpanel, Amplitude, Snowflake, etc. This will help Elma understand user events and user data of your website. ELMA will use this data to personalize the campaign

  1. Import Data: Once integration is complete, click on Import Data to sync recent customer data. This helps ELMA analyze user behavior effectively.

Connect with data: You can connect with these data sources or even upload csv file

Enter value: Enter the requested data and hit submit

Connection successful: The data source is connected successfully

Import event: Importing event from the data, events are generated

Map events: Map events as required

Segments: Click next the segments will be created for the data given

Events and segments: We can see all the events and segments and edit them accordingly

Generate Recommendations: Chat with ELMA and request personalized content suggestions for specific user segments. ELMA will generate tailored recommendations based on user preferences.

Create a Content Campaign: Navigate to Email Campaign and select a personalized content recommendation template. Customize it to reflect your brand tone and highlight relevant content. By chatting with Elma

Preview and Launch: Preview to check how the email will appear. Once satisfied, launch the campaign to send recommendations to your users.

Track Results: Go to the Analytics tab to monitor how users respond to the recommendations. Use ELMA’s insights to further refine your content strategy.

Results: Higher user engagement, longer session times, and stronger loyalty to your platform.

https://elma.questera.ai/login