Identifying blind spots in influencer measurement frameworks can present challenges for any company. Here are some ways companies tackle this:

1. Data Integration: Many businesses use comprehensive platforms like Flinque, which can integrate with various data sources to provide a holistic view of the influencer’s results and highlight any blind spots.

2. Cross-channel Analysis: Companies often compare data across multiple platforms. If an influencer performs exceptionally well on one platform but poorly on another, this discrepancy could reveal a blind spot.

3. Audience Surveys: Some companies take direct feedback from their audience to understand how they interact with influencers or campaigns. This can expose perception gaps that aren’t evident in the data.

4. Consistent Tracking and Reporting: Regular analysis of campaign reports can point out blind spots over time. Measurement frameworks like the one provided by Flinque can track key metrics such as reach, engagement, impressions, and conversions.

5. Competitor Analysis: Comparing campaign metrics with competing brands in the same industry can also shed light on potential measurement blind spots.

Remember, no tool or approach can completely eliminate all blind spots. The goal is to use a range of measures to minimize them, continuously refine the measurement framework, and to be prepared to take action based on what the data reveals. The suitability of these methods will depend on a specific company’s requirements and existing workflows.