In-app personalization for product adoption
Pulkit Agrawal, co-founder of Chameleon, on software that drives product adoption
The core opening for Chameleon was that onboarding lived in the product, but the process to improve it still lived like a software release. Teams treated first run experience like a yearly redesign, with product, design, engineering, and often customer facing teams coordinating a one off push, which made it too slow for something that behaves more like conversion optimization and needs constant tuning as user behavior changes.
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That bottleneck is what made low code in app tooling valuable. Chameleon was built so a growth PM or product marketer could change tours, checklists, banners, surveys, and launch prompts without waiting for engineers to ship every update, while still keeping the experience inside the product UI.
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The contrast with earlier category leaders is concrete. WalkMe started as employee training software for tools like Salesforce. Pendo bundled analytics with guides so teams could see where users got stuck. Chameleon pushed further toward fast iteration and personalization inside customer facing SaaS products, rather than broad internal training or all in one analytics suites.
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This also explains why the use case expanded from onboarding into feature adoption, upsell, and retention. Once a company can target users based on behavior and trigger in app prompts at the right moment, the same workflow that helps a new user activate can also help an existing account discover a feature or book a sales call when it hits a usage limit.
The market keeps moving toward software that can change its own in product experience as quickly as a website changes landing pages. The winners here will be the products that let non engineers test, target, and personalize in app moments continuously, while connecting to product data deeply enough that those changes feel native, timely, and tied to revenue.