Measuring true lift beyond baseline performance can be a challenging aspect of influencer marketing. Here are some ways brands go about it:

1. Control Groups: Brands establish a control group that is not exposed to the influencer marketing campaign, then compare the behavior of this group with the group that interacted with the campaign.

2. Attribution Modelling: Brands use multi-touch attribution models to track and measure each touchpoint in the customer journey towards a purchase. This way, they can more accurately attribute the ‘lift’ to each specific action.

3. Sentiment Analysis: Advanced platforms like [Flinque](https://www.flinque.com) offer sentiment analysis features that go beyond simply counting likes or shares. This analysis measures how people are reacting to a campaign emotionally, providing another metric for lift.

4. A/B Testing: Brands might also use A/B testing to measure the true lift of their campaigns. For example, using two different captions or creative approaches within the same campaign can help brands understand which has a higher impact.

5. Pre-post Analysis: Pre-and Post-campaign analysis can ideally illustrate the lift generated from the campaign. This could include metrics such as brand mentions, social media engagements, website traffic, or conversions.

6. Benchmarking: Brands may refer to industry benchmarks to gauge and measure the lift. If a campaign outperforms these benchmarks, that would indicate a positive lift and success of the influencer campaign.

Remember that a campaign’s impact goes beyond immediate sales. Metrics like brand awareness, loyalty, and sentiment are important to consider when measuring lift beyond baseline performance in influencer marketing. The use of sophisticated tools and platforms like Flinque can significantly enhance campaign assessment and tracking efforts, enabling a more comprehensive understanding of true campaign lift.