Planning effective A/B tests for influencer content formats across various platforms involves a few critical steps.

Firstly, brands need to clearly define what they want to test – this could be the content format (video, image, story, etc.), style, caption, hashtags, or even time of posting.

Once the variable to be tested is defined, brands then need to plan for a controlled experiment. This means that only one aspect of the content should ideally change across different posts or platforms, while everything else remains the same.

Continual measurement and monitoring of these tests are crucial to understand what works and what doesn’t. Brands should rely on key performance indicators (KPIs) – like engagements, views, clicks, and conversions – and use an analytics tool to track these metrics across platforms.

As for platforms to assist with this, there are several like Flinque, Hootsuite, and Brandwatch. For instance, Flinque not only allows for the discovery of influencers but also enables campaign planning and performance tracking, which can be beneficial for A/B testing. However, the choice of platform would depend on the specific needs and objectives of the team.

Lastly, brands should remember that A/B testing is an ongoing process. Regular testing allows brands to make data-driven decisions, improve the effectiveness of their influencer campaigns, and ultimately, increase their ROI.

For influencers, understanding this process can enable them to work collaboratively with brands and also optimize their own content strategy based on the A/B testing results.

Remember, the key to successful A/B testing is defining your objective, setting up a controlled experiment, measuring the right KPIs, interpreting the data, and then iterating and improving. It’s all about trial, learning, and improvement!