TWIPLA VS Qrvey
Compare TWIPLA VS Qrvey and see what are their differences
LiveSession helps you analyze users’ behavior, improve UX, find JS bugs, and increase conversion rates using session replays, and event-based product analytics.
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TWIPLA
Fathom Analytics
Simple Analytics
Microsoft Clarity
Cube.js
Google Analytics
mlytics
Plausible.io
Qrvey
DevicePilot
Syndigo
AnswerRocket
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Yellowfin
Omniscope
Toucan Toco
TWIPLA (formerly Visitor Analytics) is an advanced yet accessible website intelligence platform, with a comprehensive suite of easy-to-use, privacy-compliant features.
With three categories of insights - website statistics, visitor behavior analytics, and visitor communication - all website owners, digital marketers, and demand specialists can see the complete picture of what is and isn't working on their websites.
More than 2.5 million websites are already benefiting from easier access to core metrics, an enhanced understanding of visitor behavior, and a more connected visitor experience.
Collect and analyze website data about visitors’ behavior in real-time, through session recordings, conversion funnels, heatmaps, click paths, and traffic structure. Using our poll and survey features, you can effortlessly receive feedback from your online community.
With a free forever plan, multiple native plugins, easy onboarding and custom country data privacy, the platform couldn't be easier to test drive.
Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.
Qrvey’s multi-tenant data lake includes:
Qrvey’s embedded visualizations support everything from: - Standard dashboards and templates - Self-service reporting - User-level personalization - Individual dataset creation - Data-driven workflow automation
Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.
The result: Less time and money on analytics.
TWIPLA QrveyQrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Qrvey takes a different approach to embedded analytics. Instead of focusing almost completely on the front end, we know that any analytics function starts with data.
Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.
For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards. Qrvey offers:
All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Based on our record, Qrvey seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
Fathom Analytics - Simple, trustworthy website analytics (finally)
DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.
Simple Analytics - The privacy-first Google Analytics alternative located in Europe.
Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.
Microsoft Clarity - Website analytics powered by machine learning 📊
AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.