Stop relying on inaccurate last-touch attribution and biased, human-defined models
Firstparty collects all of the customer journeys of interactions with your business, then runs millions of simulated changes on each journey. We use these simulations to decide how each interaction contributed to each conversion, and to understand what would happen if a certain interaction was removed.
Firstparty's features are designed to help you implement the correct plan to convert an audience to revenue.
Firstparty can determine the effects of completely removing a touchpoint, which may actually remove more conversions than were initially attributed to that touchpoint’s interactions.
Report on interactions contributing to any conversion
Analyze the value of each source/medium combination, or the value contributed by each page on your website.
Analyze source / medium or individual website pages
Easily access custom, month, quarter, and year to date
Visualize each path taken by each customer
Change the date range or filter your data and get a new report immediately. Firstparty can calculate attribution in seconds, freeing up your data and intelligence team to work on the really hard problems.
Change a Report's options and refresh in seconds
Standard reports for the month, quarter, and year to date are always available. You can also set custom timeframes for analysis, making it easy to measure campaign effectiveness on any timeline.
Change the date range and refresh in seconds
Most attribution systems only consider the first or last customer interaction, over-crediting these interactions.
Firstparty considers all interactions that assisted in generating a conversion and assigns weighted value to each interaction based on its contribution.
Compare to first-touch, last-touch, and linear models
Reduce analyzed events to only those that match your criteria
Import data from your own CDP or warehouse
Collect conversion events from Salesforce in a few clicks
Firstparty uses Markov models to calculate which interactions are most valuable. Markov model attribution works by simulating the removal of individual interactions from each customer journey and determining whether a conversion would still occur without those interactions.
Using machine learning like this allows Firstparty to determine the likelihood that a set of interactions will result in a conversion, as opposed to suggesting a single interaction deserves 100% of the credit.
Skip the typical "implementation will be weeks or months" situation you're used to. Install Firstparty's collection script on your site or connect to your existing data warehouse, then tell us what you consider a "conversion".
Collect data from any or all of these sources. Don't see what you need? Let us know.
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