The best alternatives to Daily Metrics are Swat.io, Mode Analytics, and Mixpanel. If these 3 options don't work for you, we've listed over 10 alternatives below.
What do you think of Daily Metrics?
AssemblyAI— Speech-to-text to build reliable voice apps
The Enterprise & Agency Solution for Content Planning, Community Management and Social Customer Service. Perfectly balance your social media management with our world-class social media tool and ideal infrastructure for an efficient social media team.
An event analytics platform that allows anyone to get answers from their customer and revenue data in seconds. It offers powerful real-time charts and visualizations of how people interact with your digital products and company.
Klipfolio is the new way everyday people and their teams make informed decisions, backed by data. Klipfolio is a data analytics cloud app for building and sharing real-time business dashboards and reports on web browsers, TV monitors and mobile devices. Klipfolio helps you stay in-the-know and in control of your business by giving you visibility into the KPIs and metrics that matter most.
Lever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. As the applicant tracking system of choice for Netflix, Eventbrite, Cirque Du SoleiI, Yelp, change.org, and thousands more leading companies, Lever means you hire the best by hiring together.
Databox is modern Business Intelligence software for teams that need answers now. It offers the best of BI, without the complicated setup, steep price, or long learning curve. It provides a blend of powerful, but easy-to-use, features, from preparing datasets and creating the custom metrics your company needs to track, to building beautiful dashboards, customizing your reporting, and receiving AI-powered insights.
Deepmark AI is a benchmarking tool that enables assessment of several large language models (LLM) on various extrinsic (task-specific) metrics (e.g. accuracy, relevance, failure rate, latency, etc) on your own data, so your AI apps have reliable performance.