You launched a social media campaign, sent a newsletter, and activated search. Online sales are flat. But in-store, things are moving. Coincidence? Probably not. But without the right tools, you cannot prove anything. And what you cannot prove, you cannot defend in a budget meeting.
In most indirect distribution brands, marketing is evaluated based on clicks and visits. But the sale happens at the retailer. The result: marketing looks like it is underperforming on paper, even when it has triggered purchase intent. The problem is not campaign effectiveness. It is the blind spot between the click and the checkout.
The real problem: last click hides everything
Most brands still attribute conversion to the last measured touchpoint. It is simple. It is reassuring. It is also wrong in most cases. A consumer sees your display ad, searches for your product on Google, visits your website, clicks on a where to buy link, and ends up purchasing in a supermarket three days later. Which channel “converted”? According to traditional analytics: none.
That is where the multi-touch attribution model changes everything. It does not look for one single culprit. It distributes impact across all the touchpoints that contributed to the purchase journey, from the first exposure to the final act of purchase, even if it happens offline.
What an omnichannel attribution model really measures
A good model does not just count clicks. It reconstructs the full omnichannel customer journey: which channels exposed the consumer, in what order, at what frequency, and above all, which one triggered real purchase intent.
Here is what marketing teams are actually trying to measure:
- The impact of each channel on indirect sales, including physical sales
- The role of upper-funnel campaigns in lower-funnel conversions
- The real contribution of search, social, and display to retailer sales
- The touchpoints that create intent without generating a measurable click
- Performance gaps between retailers for the same volume of traffic sent
Without this data, you are flying blind. And you are probably cutting budgets that are working without you realizing it. If you want to better understand how availability impacts performance, you can take a look at this detailed breakdown.
Attribution models: which one should you choose?
There is no universal model. The right choice depends on your purchase cycle, the maturity of your data, and the complexity of your distribution network. Here is a quick comparison to make things clearer:
| Model | Logic | Best suited if… | Main limitation |
|---|---|---|---|
| Last click | 100% to the last touchpoint | Very short purchase cycle | Ignores all upstream work |
| First click | 100% to the first touchpoint | Measuring awareness | Ignores the decision phase |
| Linear | Equal distribution across all touchpoints | Getting started, limited data | Does not distinguish key moments |
| Time decay | More credit to recent touchpoints | Long purchase cycle | Undervalues awareness |
| Weighted multi-touch | Variable weight based on each touchpoint’s role | Indirect distribution, omnichannel | Requires reliable, structured data |
| Data-driven | Algorithm based on your actual data | Sufficient data volume | Black box, hard to explain |
For brands that sell through retailers, the weighted multi-touch model is often the most relevant. It makes it possible to connect marketing actions to indirect sales without requiring direct access to checkout data, which is difficult to obtain in most retail networks. If you want to go deeper into measurement logic, this article explains it well.
Why retailer data is the missing link
Omnichannel attribution often runs into the same obstacle: sales data sits with the retailer, not with the brand. You know you sent qualified traffic to Darty or Fnac. But you do not know what happened after the click.
This is exactly what marketing performance measurement solutions built for indirect distribution are designed to solve. By tracking every click to a retailer from any digital touchpoint and combining it with product availability and pricing data, it becomes possible to rebuild a consistent dashboard. You can then see which channels generated intent, which retailers converted, and where the traffic was lost. You can also explore how this works in practice depending on your setup.
What this changes in practice for marketing teams
Once attribution is properly set up, the nature of decisions changes. You no longer cut a channel because it generates few direct conversions. You look at whether it contributes to purchase intent on other channels. You no longer measure only the ROI of the last lever activated. You manage the entire customer journey with a broader view.
For a CMO in indirect distribution, this is also a decisive argument in budget negotiations: proving that a campaign generated qualified traffic to retailers, that this traffic converted above average, and that indirect revenue increased during the period. This is measurable impact-driven marketing, not visibility for the sake of visibility.
Cross-channel attribution does not solve every problem. It does not replace a strong strategy, a strong product, or a solid distribution network. But it finally gives you the ability to see what you were already doing without realizing it: generating sales you could not measure.
How can you prove that your marketing really influences your indirect sales?
There is no question in your message. Could you share it with me so I can write you a short and punchy answer?
Why are your in-store sales often invisible in your marketing reports?
Because most tracking tools only measure online conversions. Yet a customer may see your ad on Instagram, compare options on Google, and then buy in-store. Without an omnichannel attribution model, that journey remains invisible and your marketing appears less effective than it really is.
How do you know which marketing channel actually triggered a purchase?
By using a multi-touch attribution model. Instead of giving all the credit to the last click, this model distributes impact across every touchpoint: the ad that grabbed attention, the email that convinced, the Google search that finalized the decision. The result: you finally know which channels are truly working for you.
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Maxence Antao, Communications Officer at Click2Buy
“Our role at Click2Buy is to guide our clients throughout the buying journey and optimize their marketing ROI using real-time retailer stock data.”
