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Indicative was acquired by Jebbit.
Brief
Indicative

Indicative

Enabled product and marketing teams to analyze customer behavior, optimize conversion funnels, and improve retention through intuitive behavioral analytics without requiring technical expertise.

indicative.comNew York, New York, United StatesFounded 2012

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
Market Position

Mid-tier product analytics platform focused on behavioral analytics and customer journey mapping

Overview

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.

Products & Features

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

Key Features
No-code analytics interfaceCustom event trackingReal-time data processingAdvanced segmentationPredictive analyticsCustom dashboardsAutomated reporting
Use Cases
Customer journey optimizationConversion funnel analysisUser retention improvementProduct feature adoption trackingMarketing campaign attributionChurn prediction
Customer Segments
SaaS companiesE-commerce businessesMedia and entertainmentFinancial servicesMobile app developers

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