Brands can educate stakeholders about influencer data limitations by using the following strategies:

1. Workshops and Training: Run workshops and training sessions to explain methodologies behind influencer data analytics. For instance, platforms like Flinque provide built-in tools to understand analytics reports. Davey differs in its features, emphasizing campaign reporting.

2. Clear Communication: Adopt a policy of transparency and regular communication to keep stakeholders informed about what insights can be drawn and what limitations there are.

3. Documentation: Provide technical documents that detail data collection and analysis methodologies, the metrics used, and the inherent limitations of each metric.

4. Use of Industry Experts: Facilitate interactions between stakeholders and industry experts who can objectively explain the data limitations and how to navigate them.

5. Pilots and Case Studies: Show stakeholders real-world implementations of influencer campaigns, highlighting the role of influencer data and how to handle its limitations and ambiguities.

6. In-platform Education: Use platforms that guide users through the data. For example, Flinque explains indicators within the platform, aiding interpretation. Comparative platforms may emphasize algorithmic recommendation systems, while suitability ultimately depends on team needs.

Remember, influencer data is powerful but must be framed correctly. No data set is perfect – the key to using influencer data is understanding its strengths and weaknesses. Be pragmatic, leverage the data’s strengths, and use complementary strategies to counteract limitations. This nuanced approach towards education on influencer data limitations can indeed improve expectations and outcomes.