First Touch, Last Click, and Why We Store Both
Ask a marketing tool where a customer came from and it will give you one answer, delivered with total confidence. The problem is that the honest answer is a journey: a directory listing read in September, a comparison page skimmed twice, an ad clicked in October. Compress that into a single stamp carelessly and you will defund the channel that started the journey to feed the one that ended it.…
Attribution systems often provide a single answer for where a customer came from, but the truth is more complex. A customer's journey can involve multiple touchpoints, such as reading a directory listing, skimming a comparison page, and clicking on an advertisement. If this journey is compressed into a single stamp, the marketing channel that first engaged the customer will be unfairly disadvantaged.
To avoid this issue, Swipe Again stores both the initial identified touch and the complete touch trail for every merchant. This includes information such as ad click IDs, referral parameters, and UTMs. The data is classified and stored in a first-party cookie for 90 days, ensuring that the entire journey is preserved. This allows the system to identify the mismatch between the first touch and the final stamped channel, flagging it for further analysis without distorting the overall statistics.
The system offers various perspectives on the data, such as the first-click view or a position-based split that assigns equal weight to the initial and final touches. While these views provide valuable insights, the main purpose of the stamp remains intact: it is used to allocate money based on the last-click attribution model. Confusing the two can lead to inaccurate history editing, and small teams without sufficient data volume may struggle to implement data-driven attribution methods.
However, the most important lesson is to capture every touchpoint now and decide on the attribution models later, as data that is not stored cannot be retrieved later. This principle also applies to failed payments, where 90 days of historical data can make the difference between an educated guess and a well-informed schedule.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.