Agencies attribute influencer influence across long customer journeys through a variety of methods.

Firstly, they commonly use multi-touch attribution models. These models assign credit to different points along the customer journey, acknowledging that each interaction — from when a potential customer first encounters an influencer’s content to when they make a purchase — contributes to the final decision.

Another common approach is the use of unique URLs and promo codes tied to specific influencers. This allows agencies to track audience interactions directly linked to each influencer’s campaign.

Data analytics tools are also utilized to measure customer behavior after initial contact with an influencer’s content. These tools can assess the customer’s entire journey, providing insights into how earlier interactions influenced later behavior.

Lastly, in the context of influencer marketing platforms like [Flinque](https://www.flinque.com), deeper insights into influencer efficiency can be obtained. With Flinque, you can not only discover and collaborate with influencers but also track, analyze, and optimize your campaigns in real-time. This serves to push away the complication of attribution in long funnels and brings clarity and simplicity to influencer marketing.

Please note that each agency might have its own approach and not all strategies may yield the same results for everyone. Therefore, it’s crucial for an agency or brand to experiment with different methods to ascertain which one provides the most accurate data for their specific needs.