Attribution Analysis

Attribution analysis investigates how actions taken in the marketing and sales processes contribute to the success of those efforts. Companies often use data like location signals to link their online marketing input to the relevant results in the real world.
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Our Data Partners
10.8M Monthly Active User
1 country covered
2 years of history data
High-quality Mobile Location Data in Canada
Visitations Data
by Gravy Analytics
1B Visitations per month
100% deterministic data
1 country covered
Gravy’s Visitations DaaS delivers 100% deterministic, highly-contextualized visit data based on what consumers do in the real world. Visitations data is crea...
190M Monthly Active Uer
1 country covered
2 years of history data
CCPA-compliant Mobile Location Data in US
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Gravy Analytics
Based in USA
Gravy is the leading provider of real-world location intelligence. Its patented AdmitOne™ engine verifies consumer visits to millions of places, points-of-in...
deterministic data
150+ MM
opted-in mobile devices
2K+ brands
Based in Singapore
Our high-quality mobile location data power companies products, solutions and services. Our data is derived from SDKs to collect granular location datasets. ...
Coverage in over 200 Countries
Billion Events / Month
Based in USA
people based and household based identity graphs
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Frequently Asked Questions about Attribution Analysis

Learn everything about Attribution Analysis. Understand data sources, popular use cases, and data quality.

What is attribution analysis?

Attribution analysis refers to the act of comparing marketing and sales results to the actions and effort that is put in. Often done via a data-driven software, it uses insights from multiple data types like location data to create reliable links between online campaigns and their actual real life output.

Why should you conduct an attribution analysis?

Done correctly, attribution analytics give companies reliable insights to which of their marketing and sales efforts are baring the most fruit. Such knowledge enables more optimised marketing spends, more accurate personalisation as well as improvements in product development.