{"id":12839,"date":"2026-04-02T17:16:01","date_gmt":"2026-04-02T17:16:01","guid":{"rendered":"https:\/\/www.redtrack.io\/blog\/?p=12839"},"modified":"2026-04-02T17:16:02","modified_gmt":"2026-04-02T17:16:02","slug":"use-case-unabiased-attribution-data-and-attribution-report","status":"publish","type":"post","link":"https:\/\/www.redtrack.io\/blog\/use-case-unabiased-attribution-data-and-attribution-report\/","title":{"rendered":"How To Get Unbiased Attribution Data and Accurate Reports (Use Case with RedTrack)"},"content":{"rendered":"\n

When you count on ad platforms for attribution data, you’re basically putting all your trust in the same companies that are trying to sell you more traffic. <\/p>\n\n\n\n

So, platform bias is pretty much a given because each platform can only see the performance of the traffic that it sells you. As a result, they tend to over-credit themselves for conversions. <\/p>\n\n\n\n

And in most cases, they overestimate their own performance<\/strong>. What you end up with is duplicated data, bloated performance numbers, and insights that aren’t worth following. <\/p>\n\n\n\n

To make the right optimization decisions for your business, you need to be able to see the wider picture, and that means unbiased, multi-channel attribution reporting that actually<\/em> shows you the full journey <\/strong>a customer takes.<\/p>\n\n\n\n

Challenge: Getting Unbiased Attribution Data & Accurate Reports <\/h2>\n\n\n\n

Marketing attribution is basically determining which marketing activities (campaigns, channels, or ads) contribute to and deliver conversions<\/strong> for your business.<\/p>\n\n\n\n

Most marketers get their attribution data from individual<\/em> ad platforms; however, this creates a credibility problem<\/strong>. Because these ad platforms (think Google Ads and Meta Ads) act as both the source of traffic and<\/em> the provider of measurement data, this creates a conflict of interest. <\/p>\n\n\n\n

Since they have a financial incentive<\/strong> to prove their own platform\u2019s effectiveness and superiority, they generally over-credit their own ads and channels<\/strong> for conversions that may have realistically occurred on a competing ad platform anyway<\/em>.<\/p>\n\n\n\n

Why Accurate & Unbiased Data is Important<\/h3>\n\n\n\n

The reason why accurate and unbiased attribution is important is that it helps you identify which marketing efforts actually<\/em> drive revenue. <\/p>\n\n\n\n

When you know which ads<\/strong>, campaigns<\/strong>, and channels<\/strong> are delivering the best results, you can then:<\/p>\n\n\n\n

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  1. Optimize<\/strong> the ones that are delivering results<\/li>\n\n\n\n
  2. Cancel<\/strong> the ones that don\u2019t<\/li>\n\n\n\n
  3. Adjust <\/strong>your budget distribution accordingly<\/li>\n<\/ol>\n\n\n\n

    Why can\u2019t You Get Accurate Attribution From Ad Platforms?<\/h3>\n\n\n\n

    Each ad platform tracks attribution and clicks based on its own set of data and rules<\/strong>. <\/p>\n\n\n\n

    We\u2019ve already mentioned the conflict of interest problem when it comes to getting attribution reporting data from the same platforms where you place your ads, but let’s go a little deeper into this issue.<\/p>\n\n\n\n

    Because these platforms only have the data and interactions that took place on their<\/em> platform, you get zero<\/em><\/strong> insight<\/strong> into the entire<\/em><\/strong> customer journey<\/strong>. <\/p>\n\n\n\n

    Your ad platforms don\u2019t actually know if one user interacted with other ad platforms before<\/em> they made a purchase from an ad link on their platform. <\/p>\n\n\n\n

    But the reality is, a user may have seen and clicked on ads in Google, Reddit, or whatever other platform before<\/em> they actually converted from a  Meta ad.<\/p>\n\n\n\n

    So as soon as a user clicks on an ad platform\u2019s ad, they take the credit for that conversion, regardless of all the touchpoints that may have taken place before this click. <\/p>\n\n\n\n

    And every platform does this. <\/p>\n\n\n\n

    So you\u2019ll have one conversion being owned by multiple platforms<\/strong> (meaning you have duplicated data that needs to be cleaned).<\/p>\n\n\n\n

    Here\u2019s a scenario of a standard customer journey online.<\/p>\n\n\n\n

    Let\u2019s say a customer signed up for a RedTrack trial. Here\u2019s what their customer journey looked like:<\/p>\n\n\n\n

      \n
    1. They saw a Facebook ad,<\/strong> clicked on it, explored the product, and left the website.<\/li>\n\n\n\n
    2. The next day,  they opened Google<\/strong>, typed \u2018ad tracking\u2019 into the search, and clicked on several ads that popped up for different tools, each of which they clicked (including RedTrack), they viewed the websites, and then left again.<\/li>\n\n\n\n
    3. A couple of days later, the same user spoke to some colleagues <\/strong>about what they felt were good ad tracking tools on the market, and the colleague mentioned RedTrack.<\/li>\n\n\n\n
    4. The next day, the user intentionally goes and types \u201cRedTrack ad tracking\u201d into Google<\/strong>, enters the website, and signs up for the free trial.<\/li>\n<\/ol>\n\n\n\n

      The reality is that every one of the above channels would credit the conversion to themselves. So across your channels, this one conversion would be claimed by Meta Ads, Google Ads, and organic brand search.<\/p>\n\n\n\n

      This creates multiple problems for marketers trying to make sense of which ad campaigns or platforms are actually bringing in customers and proving to be successful.<\/p>\n\n\n\n

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      1. You have mixed messages <\/strong>and duplicated conversion data<\/strong>, where one conversion is attributed to multiple platforms.<\/li>\n\n\n\n
      2. You have no way<\/em> of applying different attribution models<\/strong>, which can provide more detailed insights into which area of the marketing funnel is working well and which needs improvement. <\/li>\n<\/ol>\n\n\n\n

        Now, if you can\u2019t apply a particular attribution model (First-touch, Last-touch, Mixed, or U-shaped), you won\u2019t be able to track and analyze your conversion data in the way that makes the most sense for your business.<\/p>\n\n\n\n

        For example:<\/p>\n\n\n\n