mParticle Analytics (formerly Indicative) Overview

Indicative addresses the challenge of understanding customer behavior by offering product analytics tailored for cloud data warehouses. It enables data-driven teams to connect disparate data sources, providing a unified view of customer interactions. This solution helps businesses identify and analyze customer journeys, optimize user experiences, and conduct detailed segmentation and cohort analysis. By leveraging multipath funnels, Indicative offers insights into complex customer pathways, facilitating more informed decision-making. This tool is essential for organizations aiming to enhance customer engagement and retention by deeply understanding user behavior patterns.

Use Cases

Customers recommend Engagement Management, Product Marketing, Products & Pricelist Management, as the business use cases that they have been most satisfied with while using mParticle Analytics (formerly Indicative).

Other use cases:

  • Segmentation And Targeting
  • Funnel Analysis
  • Workflow Management
  • Collaboration
  • Lead Analytics
  • Contract Management
  • Lead Qualification: Behavioural
See all use cases See less use cases

Business Priorities

Enhance Customer Relationships and Acquire Customers are the most popular business priorities that customers and associates have achieved using mParticle Analytics (formerly Indicative).

Other priorities:

  • Increase Customer Life Time Value
  • Manage Risk
See all business priorities See less business priorities

mParticle Analytics (formerly Indicative) Use-Cases and Business Priorities: Customer Satisfaction Data

mParticle Analytics (formerly Indicative) works with different mediums / channels such as Offline. and Trade Shows.

mParticle Analytics (formerly Indicative)'s features include Dashboard, Micro Customer Segmenting, Personalization, etc. and mParticle Analytics (formerly Indicative) support capabilities include 24/7 Support, Chat Support, Email Support, etc. also mParticle Analytics (formerly Indicative) analytics capabilities include Analytics, and Custom Reports.

Reviews

"...Indicative empowers my team to ask and answer their own questions regarding customer flows and product engagement on a daily basis...." Peer review by Stanley Altshuller, Founding Partner and Head of Product, Novus

mParticle Analytics (formerly Indicative), Userlane, Unless, UpMail, ServiceRocket, etc., all belong to a category of solutions that help Customer Journey and Experience. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.

Indicative integrates multiple data sources to enable coding-free, complex data analysis through a drag-and-drop interface. It helps marketers, product teams, and analysts optimize customer conversion, engagement, and retention.

Popular Business Setting

for mParticle Analytics (formerly Indicative)

Top Industries

  • Information Technology and Services
  • Computer Software
  • Internet

Popular in

  • Small Business
  • Mid Market
  • Enterprise

mParticle Analytics (formerly Indicative) is popular in Information Technology And Services, Computer Software, and Internet and is widely used by Small Business, Mid Market, and Enterprise.

mParticle Analytics (formerly Indicative) Customer wins, Customer success stories, Case studies

How does mParticle Analytics (formerly Indicative) address your Engagement Management Challenges?

How can mParticle Analytics (formerly Indicative) optimize your Product Marketing Workflow?

What Are the key features of mParticle Analytics (formerly Indicative) for Products & Pricelist Management?

How can mParticle Analytics (formerly Indicative) optimize your Segmentation And Targeting Workflow?

What Are the key features of mParticle Analytics (formerly Indicative) for Funnel Analysis?

11 buyers and buying teams have used Cuspera to assess how well mParticle Analytics (formerly Indicative) solved their Customer Journey and Experience needs. Cuspera uses 428 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific Customer Journey and Experience needs.

BentoBox - Internet

Indicative helps BentoBox analyze user journeys on restaurant websites. Before Indicative, BentoBox struggled with limited data and slow, technical BI tools. The team could not see visitor behavior o...r conversion drop-offs. With Indicative, they quickly test new features and analyze the impact, like the $1.99 Covid Relief Fee. The platform makes data accessible and enables real-time product decisions.

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Drops - Education

Indicative helps Drops understand users and make better decisions. Drops switched from Amplitude to Indicative for faster analytics and easier access to historical data. The platform lets a small dat...a team share reports quickly across the company. Drops uses Indicative to align business trends with real user experiences. The team saves time and works better together with a single source of truth.

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GetYourGuide - Travel

Indicative helps GetYourGuide understand their customer journey and make faster product decisions. Before Indicative, the team used Looker and ad hoc SQL, which slowed down analysis. Product managers... needed a faster, user-friendly way to analyze data without waiting for analytics support. With Indicative, they build flexible funnels, use segmentation, and share dashboards easily. The team now performs quick, data-driven decisions and improves the customer experience.

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Haven Life Insurance Agency - Insurance

Indicative helps Haven Life Insurance Agency improve customer journeys for term life insurance. The challenge was to personalize a digital experience and connect web analytics with back-end workflows.... Haven Life used Indicative to track marketing results and analyze A/B tests. The platform made analytics easy for non-technical teams. Teams now make faster business decisions and optimize campaigns in real time.

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INDOCHINO - Retail

Indicative helped INDOCHINO bring together online and offline customer data into one place. Before, their data was siloed and hard to use. The team could not see the full customer journey or measure ...the impact of marketing. With Indicative, they unified data in Amazon Redshift. Now, everyone can access insights and make better product decisions. This helped them improve conversion rates and adapt to changes in the market.

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Liv Up - Food & Beverages

Indicative helps Liv Up make real-time data accessible to non-technical team members. Liv Up, a food-tech company in Brazil, needed to turn large amounts of customer data into insights fast. Their ol...d tools were slow and required deep technical skills. With Indicative, Liv Up connects Snowplow event data for easy analysis. Now, everyone on the team can run quick analyses and make better decisions. This helped Liv Up adapt to fast-changing consumer trends during the COVID-19 pandemic.

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lightning

Peers used mParticle Analytics (formerly Indicative) for engagement management and product marketing

mParticle Analytics (formerly Indicative) Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
Analytics

4.75/5 ★

Read Reviews (79)
Custom Reports

4.66/5 ★

Read Reviews (87)
CAPABILITIES RATINGS AND REVIEWS
Analytics

4.75/5 ★

Read Reviews (79)
Custom Reports

4.66/5 ★

Read Reviews (87)

mParticle Analytics (formerly Indicative) Integrations

mParticle Analytics (formerly Indicative) integrates with a wide range of software applications through its robust data import and export capabilities.

Data Export

3.96/5 ★

Read Reviews (29)
Data Import

3.72/5 ★

Read Reviews (27)

Software Failure Risk Guidance

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for mParticle Analytics (formerly Indicative)

Overall Risk Meter

Low Medium High

Top Failure Risks for mParticle Analytics (formerly Indicative)

mParticle Inc. Profile

Company Name

mParticle Inc.

Company Website

https://www.indicative.com/

HQ Location

33 W 17th St, New York, New York US

Employees

11-50

Social

Financials

SEED