New Delhi, March 2026: According to the latest State of Marketing report from Salesforce, while 83% of marketers recognize the shift toward personalized, two-way messaging, only 25% are satisfied with how they actually use data to power those customer moments.
Addressing this gap, Apptrove, the fast-growing mobile measurement partner and the first Indian MMP, is set to launch its new feature, “Customer-Based Attribution,” a capability that enables brands to see a single, unified view of each customer’s journey across channels, devices, and platforms.
This launch marks a significant shift in how marketers understand attribution, moving ahead of device or session-level tracking toward something more meaningful: the actual person behind the conversion.
Marketers have been dealing with a fragmented picture for a long time. A user clicks on a Meta ad on their mobile device, jumps to a desktop later, and converts via a mobile app days later. Traditional systems attempt to treat each of these as a separate event, resulting in misattributed conversions, overstated channel costs, and budgets optimized on incomplete data.
Apptrove built Customer-Based Attribution to solve this directly. Rather than tracking devices or cookies in isolation, CBA anchors the entire journey to the individual, creating one continuous, identity-resolved thread from first touch to final conversion.
At the centre of Customer-Based Attribution is a powerful identity framework. Tracking starts the moment a user lands on a digital property of a brand, allocating an anonymous session ID through the Web SDK. When the same user logs in, i.e., both for web and app, a Customer User ID (CUID) is set, which bonds all the previous and next interactions with one deterministic identity. Because of this, a site visit, app install, and post-logon purchase are one coherent journey, and the source of the marketing that first drove awareness can be accurately attributed to the conversion.
Apptrove’s hierarchy of attribution is accurate and intentional. It scores signals in a clean order of priority – from proprietary tracking parameters and click ID signals from platforms such as Google and Meta to UTM parameters and referrer signals, so that the best possible data will always win.
Traffic classification is one of the key benefits of CBA. Each visit will contain data not just from the source, but also from media type; for example, Paid, Owned, and Earned, which can give team members a quick and clear understanding of how much of their growth has been paid for versus coming from organic traffic.
Brands can now feel confident in reporting on the metrics that matter most to them: Visits, Conversion Events, Revenue, Average Revenue Per User (ARPU) and Average Cost Per User (ACPU). The metrics can then be filtered and segmented by Media Source, Channel, Geography, and Campaign.
Enterprise teams that are managing multiple domains and sub-brands benefit from Apptrove’s powerful domain exclusion logic. This helps eliminate misattribution due to misdirected payment gateway redirects, or third-party auth flows; costly mistakes that have haunted brands for many years.
Attribution fails at the edge, and Apptrove has designed Customer-Based Attribution with the real-world complexities of modern consumer behavior in mind. Shared devices, mid-journey logins, backend server-to-server events, and traditional direct revisits after a paid visit are all addressed using clear, reliable logic.
With a 30-day lookback window for attribution and a “last non-direct” method of attribution, Apptrove allows an advertiser to receive proper credit for the cost associated with an original paid click, even if the consumer leaves the site before returning to complete the purchase via a direct visit. Direct visits do not override earlier intent to act.
For brands sending backend conversion data (such as server-side purchase confirmations or subscription activations), the platform provides support for S2S event attribution, integrating S2S events into the same identity graph as non-S2S events in order to facilitate accurate attribution without relying on client-side event triggers.
Customer-Based Attribution is not simply an upgrade to an existing feature, but a new way of thinking about how marketing should be measured in this world where consumers behave across multiple devices, platforms, and times, and every time a conversion is misattributed costs real dollars.
The industry has long accepted attribution as a product of technological limitation not recognizing user behaviour. Cookies are short-lived, multiple users can share devices, and users browse anonymously for days before they convert. Most platforms have not done anything to resolve these fundamental customer behaviours. Apptrove,has done this through the introduction of Customer-Based Attribution, and brands will no longer need to make a trade-off between scale and accuracy.
When attribution is measured at the customer level, it allows for improved decision-making at every level of the marketing process. Media spend will be allocated more accurately. Retargeting audiences are cleaner. The compounding impact of simply measuring attribution accurately grows with each subsequent campaign and should not be ignored. Marketing leaders who must now provide ROI for their efforts have now been provided with a technology solution (identity resolved data) that allows them to deliver accurate attribution insights, rather than estimates based on a high-level overview of the customer journey.
Customer-Based Attribution is being launched very shortly and will be available through Apptrove for all eligible accounts directly.
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