OpenText Optimost vs Segment comparison

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Executive Summary

We performed a comparison between OpenText Optimost and Segment based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Google, Amplitude and others in Web Analytics.
To learn more, read our detailed Web Analytics Report (Updated: March 2024).
769,599 professionals have used our research since 2012.
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Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "The pricing was on the higher side but it wasn't excessively high."
  • More Segment Pricing and Cost Advice →

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    Top Answer:I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort… more »
    Top Answer:The pricing was on the higher side but it wasn't excessively high. It's definitely not tailored for the smallest businesses, but it's well-suited for setups that anticipate significant growth.
    Top Answer:The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work well… more »
    Ranking
    23rd
    out of 32 in Web Analytics
    Views
    61
    Comparisons
    35
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    5th
    out of 32 in Web Analytics
    Views
    796
    Comparisons
    712
    Reviews
    1
    Average Words per Review
    1,635
    Rating
    8.0
    Comparisons
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    Pendo logo
    Compared 15% of the time.
    Amplitude logo
    Compared 12% of the time.
    Adobe Analytics logo
    Compared 12% of the time.
    Also Known As
    Segment.io
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    OpenText
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    Overview

    Segment is a customer data platform that helps organizations collect, unify, and analyze customer data from various sources. Its primary use case is to provide a single view of the customer across different touchpoints, enabling businesses to deliver personalized experiences.

    The most valuable functionality of Segment is its ability to integrate with numerous data sources, such as websites, mobile apps, and third-party tools. It simplifies the process of data collection and unification, allowing organizations to easily access and analyze customer data in real time.

    Segment helps organizations by providing a comprehensive understanding of their customer's behavior, preferences, and interactions. This valuable insight enables businesses to make data-driven decisions, optimize marketing campaigns, and improve customer engagement. By leveraging Segment's capabilities, organizations can enhance customer experiences, increase customer satisfaction, and drive business growth.

    Sample Customers
    Information Not Available
    Nokia, rdio, Bonobos, LiveNation, Atlassian
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm12%
    Real Estate/Law Firm8%
    Comms Service Provider6%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise14%
    Large Enterprise58%
    Buyer's Guide
    Web Analytics
    March 2024
    Find out what your peers are saying about Snowflake Computing, Google, Amplitude and others in Web Analytics. Updated: March 2024.
    769,599 professionals have used our research since 2012.

    OpenText Optimost is ranked 23rd in Web Analytics while Segment is ranked 5th in Web Analytics with 2 reviews. OpenText Optimost is rated 0.0, while Segment is rated 8.6. On the other hand, the top reviewer of Segment writes "Simplify data management and analysis and offers built-in integrations for many data sources and destinations, reducing effort required for custom integrations". OpenText Optimost is most compared with Snowflake Analytics, whereas Segment is most compared with Google Analytics, Tealium, Pendo, Amplitude and Adobe Analytics.

    See our list of best Web Analytics vendors.

    We monitor all Web Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.