Build a Custom Analytics Dashboard Using AI in Minutes
Describe your Analytics Dashboard in plain English. Emergent handles design, development, and deployment, giving you a live build in minutes. No code needed.
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Emergent Key Features for Building an Analytics Dashboard
Funnels, cohorts and segments generated against your own database, so you are not fitting your product into a tool's model.
Funnels on Your Own Events
Steps are defined against the actions your product actually records, so a funnel reflects your onboarding rather than a generic ecommerce path.
Cohort Retention Analysis
Users are grouped by joining period with activity tracked forward, producing the retention grid and curve that show whether the product is holding people.
Segment Comparison
Any metric can be split by plan, source or behaviour, which turns a flat average into an explanation of who succeeds and who leaves.
Queries Your Database Directly
Analysis runs against your application database or warehouse, so you are not paying to duplicate event data into a third party platform first.
No Event Volume Pricing
Because the dashboard reads your own storage, growing usage does not increase an analytics bill or force you to sample events.
New Questions Without Instrumentation
If the data is already recorded, a new breakdown is a description rather than an engineering ticket to add tracking and wait for data.
Analytics Dashboard Use Cases You Can Build in Minutes

Find Where Users Drop Out of Your Product
Track signup, onboarding completion, first key action and repeat use with count and conversion at each step, median time between steps and the largest drop off point, segmentable by source or plan.
window.awbMockup = { productFunnel: "Build a funnel analytics dashboard tracking users through signup, onboarding completion, first key action and repeat use, showing count and conversion rate at each step, median time between steps, the largest drop off point, and the ability to segment the whole funnel by acquisition source or plan.", retentionCohort: "Build a retention dashboard grouping users by signup week and showing the percentage still active in each following week as a cohort grid, alongside a retention curve, the week where the curve flattens, and a comparison of retention between users who did and did not complete onboarding.", featureAdoption: "Build a feature adoption dashboard listing every tracked feature with unique users, total uses, adoption rate as a share of active accounts, time from signup to first use, and repeat usage rate, flagging features launched in the last 90 days that fewer than 10 percent of accounts have tried.", userSegment: "Build a segmentation dashboard that groups users by plan, acquisition channel, company size and activity level, comparing each segment on activation rate, sessions per week, feature breadth, retention at 30 days and revenue contribution, and naming which segment retains best."};

See Whether the Product Actually Holds People
Group users by signup week and show the percentage still active each following week as a cohort grid and a curve. Compare retention between users who completed onboarding and those who did not.
window.awbMockup = { productFunnel: "Build a funnel analytics dashboard tracking users through signup, onboarding completion, first key action and repeat use, showing count and conversion rate at each step, median time between steps, the largest drop off point, and the ability to segment the whole funnel by acquisition source or plan.", retentionCohort: "Build a retention dashboard grouping users by signup week and showing the percentage still active in each following week as a cohort grid, alongside a retention curve, the week where the curve flattens, and a comparison of retention between users who did and did not complete onboarding.", featureAdoption: "Build a feature adoption dashboard listing every tracked feature with unique users, total uses, adoption rate as a share of active accounts, time from signup to first use, and repeat usage rate, flagging features launched in the last 90 days that fewer than 10 percent of accounts have tried.", userSegment: "Build a segmentation dashboard that groups users by plan, acquisition channel, company size and activity level, comparing each segment on activation rate, sessions per week, feature breadth, retention at 30 days and revenue contribution, and naming which segment retains best."};

Know Which Features Earn Their Place
Every tracked feature with unique users, adoption rate as a share of active accounts, time from signup to first use and repeat usage. Features launched recently with under ten percent adoption are flagged.
window.awbMockup = { productFunnel: "Build a funnel analytics dashboard tracking users through signup, onboarding completion, first key action and repeat use, showing count and conversion rate at each step, median time between steps, the largest drop off point, and the ability to segment the whole funnel by acquisition source or plan.", retentionCohort: "Build a retention dashboard grouping users by signup week and showing the percentage still active in each following week as a cohort grid, alongside a retention curve, the week where the curve flattens, and a comparison of retention between users who did and did not complete onboarding.", featureAdoption: "Build a feature adoption dashboard listing every tracked feature with unique users, total uses, adoption rate as a share of active accounts, time from signup to first use, and repeat usage rate, flagging features launched in the last 90 days that fewer than 10 percent of accounts have tried.", userSegment: "Build a segmentation dashboard that groups users by plan, acquisition channel, company size and activity level, comparing each segment on activation rate, sessions per week, feature breadth, retention at 30 days and revenue contribution, and naming which segment retains best."};

Learn Which Customers Succeed and Which Leave
Group users by plan, channel, company size and activity level, then compare each segment on activation, sessions, feature breadth, thirty day retention and revenue contribution.
Learn Which Customers Succeed and Which Leave
Group users by plan, channel, company size and activity level, then compare each segment on activation, sessions, feature breadth, thirty day retention and revenue contribution.
Build a custom analytics dashboard in 4 simple steps
Track the events, funnels and retention curves that matter to your product, without waiting on an analytics tool to support the question you are asking.
Start with the actions people take in your product, such as signups, activation steps, feature use, repeat sessions and churn signals. Emergent builds the analysis around your events, so you are measuring the journey your product has rather than a template funnel.
Point Emergent at your application database, a warehouse table or an event stream from a tool you already run. It writes the queries for funnels, cohorts and retention, which means the analysis exists without you modelling it first.
Request a different funnel, a new segment or a cohort defined another way, and it is built against data you already record. A growth hypothesis is tested this week rather than queued.
Deploy the dashboard on one link with working filters and segment switching. Product, growth and support can each answer their own follow up questions, so insight stops being something only one person can produce.
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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
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