Yes, there are several strategies you can incorporate into your influencer marketing campaign workflows to conduct A/B testing with different influencers and campaign techniques.

1. Split Testing: This is a straightforward method of testing two or more variations of a campaign (content, message, design) through different influencers. The performance of each variation measures the effectiveness of the campaign strategies.

2. Multi-variant Testing: Involves testing multiple variables within a single campaign. This requires a more sophisticated influencer marketing platform that can track and analyze multiple sets of data simultaneously.

3. Sequential Testing: Test one variation of a campaign with one influencer first, measure the results, and then test the other variation with a different influencer or the same influencer at a different time.

4. Audience Segmentation: Break your audience into different groups and test each campaign variation with different audience segments. You can segment your audience based on demographic, geographic, or behavioral factors.

5. Competitive Analysis: Measure the performance of your campaign versus those of your competitors. This can provide valuable insights into what strategies work best in your industry.

For a successful A/B testing, you’ll need a platform that can help in influencer discovery, campaign planning, performance tracking, and ROI measurement. This is where a platform like Flinque comes in very handy, providing an all-in-one solution for your influencer marketing needs.

Remember, the goal of A/B testing in the context of influencer marketing is essentially to find out which strategies resonate with your audience. It’s not objectively about finding the ‘best’ influencer, but about helping to identify the most effective campaign strategy for your brand.

Keep in mind that A/B testing is a continuous process, and it’s essential to consistently analyze your results, learn from them, and incorporate these insights into your future campaign strategies.