What InAppStory changed

• Added a new "Skill Games" section featuring Puzzle, Memories, Sorting, Match 3, and Slicer mechanics.

• Introduced a Figma UI Kit for building in-app games with 11 pre-built mechanics and full game flows.

• Added "Luck & Reward Games" including Wheel of Fortune, Mystery Boxes, and Advent Calendars.

• Published new performance benchmarks: 3x boost in brand loyalty and 40% increase in lead generation.

• Expanded the testimonial section with new reviews from Dodo Brands, Papa Johns, and other CRM/Product managers.

• Added a detailed FAQ section covering technical hosting, multilingual support, and industry-specific use cases.

• Added a cookie consent banner and links to AI-based comparison tools in the footer.

• Added a new pricing structure with four plans: Stories, Game Center, In-App Messaging, and SMART Banners.

• Introduced a 30-day free trial that only starts after the first campaign goes live.

• Added a "We love comparison" section with eight detailed guides against competitors (Storyly, Braze, MoEngage, etc.).

• Published a detailed feature breakdown including shoppable video, zero-party data collection, and A/B testing.

• Added a comprehensive FAQ section covering SDK integration, MAU calculation, and hosting options.

• Updated the footer with links to AI search tools (ChatGPT, Claude) to encourage users to research their brand.

The platform is shifting from simple stories to complex gamification. By adding pre-built skill games (like Match 3 and Puzzles) and a Figma UI kit, they are making it much easier for marketing teams to launch interactive campaigns without needing developers.

The competitor has shifted from a simple contact form to a structured pricing model with four distinct product tiers. They are also aggressively targeting competitors like Storyly and Braze with a new dedicated comparison section to capture search traffic from unhappy users.

• Added a dedicated "Gamification Solutions" section featuring 12+ ready-to-use game concepts.

• Introduced specific game categories: Luck & Reward (Wheel of Fortune), Skill Games (Match 3, Slicer), and Social Reach Games.

• Launched a Figma UI Kit for building in-app games with pre-made screens and logic.

• Added a "Game Center" dashboard for self-service campaign management.

• Published new case studies (Dodo Brands, Papa Johns) focusing specifically on gamification ROI.

• Added a comprehensive FAQ section addressing technical setup, hosting, and industry-specific use cases.

• Added a dedicated pricing page with four distinct product categories.

• Introduced a 30-day free trial period that only begins after the first campaign goes live.

• Published a comprehensive "Compare" section featuring direct comparisons against eight competitors like Storyly, Braze, and MoEngage.

• Detailed specific feature lists for each product tier, including shoppable video, mini-games, and A/B testing.

• Added a clear four-step onboarding roadmap (Demo, Success Plan, SDK Integration, Trial).

• Clarified pricing metrics, defining MAU specifically as "unique users who view stories."

The competitor has shifted from a focus on simple in-app stories to a full-scale gamification suite. They are now offering pre-built games (like Match 3 and Puzzles) and a Figma UI kit to help marketing teams launch interactive campaigns without needing developers.

The competitor has shifted from a simple "get a quote" model to a structured four-tier product offering (Stories, Game Center, In-App Messaging, and SMART Banners). This makes it easier for potential customers to understand their specific capabilities and likely signals a push to capture different segments of the market, from simple messaging to complex gamification.

• Removed the "Real-World Use Cases" section that featured 500+ templates.
• Replaced the template list with a "Get a custom quote" lead generation form.
• Explicitly stated that pricing is now based on MAU and specific message formats.
• Removed mentions of ready-to-use ideas for activation, sales, and retention.

InAppStory is moving away from promoting a library of ready-made templates to a sales-led, custom pricing model. By basing costs on Monthly Active Users (MAU), they are likely targeting larger enterprise clients rather than small teams looking for quick self-service templates.