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Introducing Event Analytics 2.0: A New Era of Data Unleashed

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Amidst the whirlwind of digital transformations, understanding customer behavior and preferences is the key to success. With the right tools, you can dig deep into your customer data, unearth valuable insights, and create personalized experiences that resonate with each individual. You can confidently fine-tune your marketing campaigns and leave guesswork behind. Exciting, isn’t it?

To help you harness the full power of these benefits, we’re thrilled to introduce some amazing improvements to our Analytics stack. Drumroll, please! 🥁

Introducing WebEngage’s Event Analytics 2.0

Event Analytics 2.0 is a brand-new toolkit designed to help you dive deeper into your event data, uncover hidden opportunities, and make amazing discoveries that can transform your business! Let’s embark on this journey together and explore all the incredible updates:

1. Multi-event Analytics

Ever wished you could look at data from multiple events all at once? Well, now you can! With multi-event analytics, you can analyze up to 10 events simultaneously and get a complete picture of user behavior patterns, correlations, and trends aligned with your business goals.

How to Use

1. Select any combination of system and custom events for analysis.

2. Each event comes with its own customizable filter options, allowing you to fine-tune your analysis based on specific needs.

3. The ‘over’ category remains consistent across multiple events, ensuring reliable insights.

Practical Use Cases

  • User Onboarding Evaluation: Keep a close eye on user actions during the initial stages of using your app or platform. Identify any potential friction points or drop-offs in the onboarding journey and make necessary improvements.
  • Browse-to-Purchase Pathway: Dive deep into events such as product views, cart additions, and checkouts to understand the most common path users to complete a purchase. Streamline this journey to improve conversion rates and boost sales.
  • Promotion Effectiveness: Track key events such as email clicks, purchases, and other actions associated with your promotional campaigns. Analyze the effectiveness of different campaigns and optimize future campaigns accordingly.

2. Segment and Static List Filter

Move over standard filters; there’s a new sheriff in town! With the segment and static list filter, you can now analyze events for specific user groups based on attributes or behaviors. Whether you’re segmenting users based on their product category affinity or creating static lists of VIP customers, the possibilities are endless!

How to Use

1. Click the filter button and choose from a range of user lists in the dropdown, including CSV lists or refreshing lists.
Note: The analysis automatically removes duplicate users from selected lists and displays the total number of users.

2. Perform multi-event analysis after applying a list filter. Analyze event occurrences and correlations for users in selected lists.
3. Add or exclude lists from event analytics for comprehensive segment analysis.

Practical Use Cases

  • Product Category Affinity: Segment users based on their affinity for specific product categories. Customize product recommendations and marketing messages to match users’ interests, increasing the likelihood of conversions.
  • VIP Customer Recognition: Generate a static list of high-value customers based on their purchase history. Offer exclusive discounts, early access to promotions, or personalized customer support to reward and retain them.
  • Subscription Tier Targeting: Create static lists based on users’ subscription or membership tiers, such as free, basic, and premium. Ensure each subscription tier gets relevant content, upgrades, or incentives aligned with their membership tier.

3. User Attribute Filters and Common Filter

Get ready to take your analysis to the next level with custom user attributes and the common filter. With custom user attributes, refine your user data based on specific attributes, while the common filter simplifies analysis by identifying shared attributes among selected events.

How to Use

Navigate to the Filters section and take the following steps:
1. For User Attribute Filters: Click on ‘user attribute filters’ to access the accordion. Here, you can apply filters related to user attributes, whether system or custom attributes.
2. For Common Filter: Click on ‘common filter for events’ to access the accordion displaying the common attribute present in all selected events.

Note: If a selected event is removed, the common filter will continue to apply to the remaining events.

Practical Use Cases

  • New User Welcome: Leverage user attribute filters to target new users who have recently signed up. Send them personalized welcome messages, introducing them to your platform and guiding them through onboarding.
  • Occasion-specific Offers: Segment users by specific occasions, such as their birthdays or anniversaries. Send personalized offers to celebrate the occasion and incentivize continued engagement with your brand.
  • Seasonal Campaign Effectiveness: Compare the performance of various seasonal marketing campaigns. Find out which campaign consistently delivers the best results so you can fine-tune your marketing strategy and maximize returns.
  • A/B Test Impact Assessment: Use the common filter to assess the impact of different A/B tests. Determine which test variations drive the desired user actions and conversion rates and optimize your strategy accordingly.

4. Export to Static List

Last but certainly not least, from our Event Analytics 2.0 toolkit, we’re thrilled to introduce the ability to export event analytics data to static lists. This enhancement bridges the gap between analysis and action, allowing you to integrate insights into your marketing toolkit seamlessly.

How to Use

1. Access the required data when event analytics are ready by clicking on it.
2. Choose ‘series of data’ or ‘data points’ to create a list.

3. Select list type and customize details like name, period, and refresh frequency.

4. Once done, create the list. The created list will be accessible under Segments>Lists.

Practical Use Cases

  • Event Attendee Engagement: Export event analytics data for attendees of your webinars or conferences and send them post-event surveys, special offers, or content related to their interests for post-event engagement and feedback collection.
  • Product Launch Promotion: Export a static list of users who engaged with teaser campaigns leading up to a product launch. Send them exclusive pre-order invitations, ensuring a successful product launch with a ready and engaged audience.
  • Membership Renewal Reminders: Export data for users whose membership or subscription is due for renewal. Use this list to send timely renewal reminders, special loyalty offers, or incentives to encourage users to renew their memberships.

Wrapping Up

With WebEngage’s Event Analytics 2.0, understanding and harnessing the power of your event data has never been easier. From uncovering hidden patterns to fine-tuning your marketing strategies, these new features open up a world of possibilities for businesses of all sizes.

So why wait? Dive into Event Analytics 2.0 today and unlock the insights you need to drive meaningful engagement, enhance user experiences, and propel your business toward success!

Author

Assistant Product Marketing Manager, 

WebEngage

Harshita is a product marketing professional with 3+ years experience in related roles. Leveraging her communication, storytelling, and product positioning skills, she creates engaging content to captivate audiences. As an army kid, she loves exploring new places, cafe-hopping, and binge-watching TV shows.

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