Determine the appropriate format for your announcement based on the type of feature being released.
For major feature announcements that significantly change the way users interact with your product or provide substantial new value, modal windows and dedicated in-app pages are highly recommended. These formats are hard to miss and provide sufficient space to elaborate on the feature's benefits.
For example, Scalable Press (a customized goods producer) launched their new feature, “Cashback Streaks,” using a modal window. What makes this announcement especially interesting is that Scalable Press included a 0–5 rating scale, allowing users to provide instant feedback on the new cash back program. It's a clever way to capture initial user sentiment at a moment of high engagement.
For minor feature updates or improvements, tooltips, slideouts, and checklists might be more appropriate. These formats are less disruptive to the user experience and can effectively introduce new functionalities without overwhelming users.
For example, HubSpot announced a new feature to view social posts in a calendar view using a tooltip tour.
Regardless of the feature's size or impact, emails should be a crucial part of your announcement strategy. Emails serve as a long-term record of the update, reach users not currently active in the app, and allow you to include additional details or resources.
For Example, Semrush sent an email to announce their new link building tool:
Tip: Ensure the format you choose provides an optimal user experience and supports the feature's value proposition. Also, make sure it's accessible and easy for users to understand and interact with.
Step 4: Craft a compelling message.
Start with a catchy and informative header.
Personalize the message by referencing the user by name or with other relevant user data.
Highlight the value proposition of the feature in persuasive language.
Include a clear call-to-action (CTA) that encourages users to try the feature.
Keep the message brief and easy to read.
Create different versions of the message tailored to specific problems users face.