Indicative
Enabled product and marketing teams to analyze customer behavior, optimize conversion funnels, and improve retention through intuitive behavioral analytics without requiring technical expertise.
Last updated May 11, 2026 by ATDb automated enrichment
- Industry
- Marketing Analytics/Customer Analytics
- Business Model
- SaaS
- Target Market
- Mid-Market, Enterprise
- Employee Count
- 11-50
- Funding
- $18M
- Revenue Range
- $10M-$50M
- Parent Company
- Jebbit
- API Available
- Yes
Mid-tier product analytics platform focused on behavioral analytics and customer journey mapping
Indicative was a customer analytics platform that helped product and marketing teams understand user behavior and optimize customer journeys through behavioral analytics and cohort analysis. Founded in 2012, the company provided tools for tracking customer engagement, analyzing conversion funnels, and identifying key drivers of retention and revenue. The platform enabled companies to segment users, build custom reports, and gain actionable insights from their product and marketing data without requiring SQL knowledge. Indicative positioned itself as a product analytics solution that bridged the gap between marketing analytics and product analytics, offering features like multi-touch attribution, funnel analysis, and predictive analytics. The platform served mid-market and enterprise companies across various industries including e-commerce, SaaS, media, and financial services. In 2021, Indicative was acquired by Jebbit, a declared data platform company. Following the acquisition, Indicative's technology and team were integrated into Jebbit's platform to enhance its analytics capabilities. The Indicative brand and standalone product were eventually sunset as the technology was absorbed into Jebbit's broader customer data and experience platform.
Behavioral Analytics
Tracked and analyzed user actions and behaviors across digital properties
Funnel Analysis
Visualized and optimized conversion funnels to identify drop-off points
Cohort Analysis
Segmented users into cohorts to analyze behavior patterns over time
Multi-Touch Attribution
Attributed conversions across multiple customer touchpoints
Retention Analysis
Measured and analyzed customer retention and churn patterns