Artificial Intelligence | Machine Learning WebEngage | Customer Engagement & Retention Platform


Enterprise, Multi-Channel User Engagement, User Behavior Tracking & Analysis Bengaluru, Karnataka, India

WebEngage

Artificial Intelligence | Machine Learning


WebEngage | Customer Engagement & Retention Platform

WebEngage

Multi-Channel User Engagement, User Behavior Tracking & Analysis


Bengaluru, Karnataka, India

WebEngage is a customer data platform and marketing automation suite that makes user engagement and retention simplified and highly effective for consumer tech enterprises and SMBs. The platform helps brands drive more revenue from their existing customers and anonymous users through highly contextual, hyper-personalized engagement campaigns across 10 communication channels. Product and marketing practitioners, across the world, design intuitive user lifecycle journeys on the WebEngage dashboard to convert existing users through data-backed, timely omnichannel engagement campaigns. The platform offers in-depth product and marketing analytics for brands to track growth metrics and campaign performance effectively. WebEngage powers the user engagement for thousands of brands worldwide, working across several industries like E-Commerce, Edtech, Fintech, Foodtech, Media & Publications, Gaming, BFSI, Healthcare, and Online Retail. A robust customer data platform, personalization engine, omnichannel campaign manager, and analytics engine are all baked into one seamless full-stack Retention OS. Bring data and analytics to the forefront and skyrocket your revenue growth. By taking the first step towards building a strong data culture and letting insights design your engagement strategies. Eliminate data silos by unifying customer data from multiple sources and creating a unified view of your customers. Leverage this data to create segments while keeping your data secure. Get deeper insights into your customers’ behavioral data, and product usages with industry-defining tools like cohorts, funnels, paths, uninstall, and real-time event analytics. Identify high-priority customer segments with RFM modeling or create on-demand segments based on customer personas and behaviors in real-time. 

 

B2B

251 to 500

Series B

$26.1M

Scaling Up

2011

 
 

Information Technology and Services
Computer Software

30B+ Messages Sent Monthly
400M+ Monthly Active Users Engaged
5M+ Shopping Moments Personalized
$10B Additional Revenue Delivered

Increase Efficiency
Increase Productivity

 
 

Analytics
Marketing
Service

Yes

Active

 
 

   Machine Learning


Customer Engagement Platform

Customer Engagement Platform


Text

Text

Structured

Structured

 

   Software


Python

Python

C/C++

C/C++

AWS

AWS

PostgreSQL

PostgreSQL

Azure

Azure

GitHub

GitHub

JavaScript

JavaScript


Machine Learning Algorithm

Machine Learning Algorithm

Deep Learning Algorithm

Deep Learning Algorithm

 
 

View All

iOS Developer

Bangalore, Karnataka

Android Developer

Mumbai, Maharashtra

Software Engineer

Bangalore, Karnataka

Data Analyst

Mumbai, Maharashtra

Desktop Administrator

Mumbai, Maharashtra

 

AI/ML Professionals

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3

1

$20M

Company was founded 2011 and it took almost 11 years (Aug 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

08/02/2022

Series B

$20M

India Quotient, Blume Ventures, IAN Fund

Date : 08/02/2022

Round: Series B

$ Raised: $20M

Investors: India Quotient, Blume Ventures, IAN Fund

 

Investors

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Avlesh Sing

Avlesh Sing
Chief Executive Officer

Ankit U

Ankit U
CTO

 
 

Potential Customers

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