Analyze influencer placements beyond direct attribution
In general, end-to-end analytics in marketing is important. But for influencers, this is especially relevant, since influencers are the first touch, working with cold traffic and expanding brand awareness along with attraction. After a person has seen your ad, he may well go google reviews about the school, look at other products, analyze the business's social networks and, for example, subscribe to an email newsletter, and only then, a month later, buy your product.
In my experience, it often happened that the placement did not pay off according to direct attribution, but overall it brought the company more revenue than was spent . In the case of influencers, individual germany consumer email list discount promo codes also work well.
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Example
We went out with advertising from blogger X, with whom we had not previously placed. The cost of placement was 300 thousand rubles and we received 12 leads and only 2 sales with an average check of 60 thousand rubles. On the one hand, this placement can be assessed as unprofitable and not go to this author anymore. But if you analyze sales by promo code, which the author mentions in his video, then you can add 2 more sales through targeting and 1 through SEO.
Thus, the placement paid for itself and brought in revenue, albeit not through the direct funnel of “advertising through influencer = sales through influencer.”
What else should you consider when working with bloggers?
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