Chameleon’s platform lets software development teams create and test in-product experiences including banners, tooltips, modals, walkthroughs and checklists. Devs can use Chameleon — which integrates with analytics tools from HubSpot and Salesforce — to trigger other services in-app, from Typeform surveys to Zendesk chat sessions.
“Chameleon is important for people who build software and care about getting usage,” Agrawal argued. “Normally, this is digital product teams in large companies. Sometimes they’re also building apps for internal or alternative users where they need to communicate the different features and value propositions in-product, and Chameleon can be leveraged there also.”
Chameleon recently launched HelpBar, a new offering that delivers a “spotlight search” experience within apps so users can search across a company’s help articles, developer docs and blog posts. Also new as of this year is Microsurveys, single-question in-product surveys whose data can be piped into existing analytics tools.
Chameleon’s services somewhat overlap with those of rivals in the low- and no-code development space. For example, CommandBar, which landed $19 million in funding in April, is developing a search bar that devs can use to power natural language searches within their apps. Meanwhile, WorkOS, which raised $80 million in June, lets developers quickly add enterprise features like single sign-on (SSO) and directory sync to their software.
Agrawal also sees Pendo and Appcues as prime competitors. But he asserted that San Francisco-based Chameleon’s business has remained strong as of late, despite headwinds; Chameleon currently has roughly 300 customers.
“Slowdowns and cost efficiency measures make companies want to leverage scalable revenue models, including self-service and product-led growth, which leads to an increase in demand for Chameleon,” Agrawal said. “Chameleon is the deepest product adoption platform that enables modern SaaS companies to personalize and customize their user experience, and thereby improve feature discovery and user engagement.