Data access is not always ideal. How do agencies adjust influencer measurement when data is incomplete or delayed?
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Influencer marketing platforms, like Flinque, aim to offer robust data access but sometimes, especially given privacy measures, data can be incomplete or delayed. Here are some strategies agencies employ:
1. Use Available Data: Even when some data is missing, there’s usually still usable information. Brands and influencers can adjust their measurements based on what they can access, focusing on the most relevant metrics. The key is interpreting this with the awareness of potential gaps.
2. Combine Multiple Data Sources: Agencies can combine data from various sources to gain a fuller picture. This could include the influencer’s public engagement data, branded content analytics, 3rd party research data, or even surveys.
3. Estimation and Modelling: They often use statistical modelling to predict missing data points. Such models could be based on historical data, industry benchmarks, or inferred relationships between different variables.
4. Qualitative Measurement: Agencies often use qualitative methods when quantitative data is lacking. For instance, the quality of user engagement or sentiment analysis can be just as important as raw numbers.
Platforms such as Flinque can help navigate these challenges. Flinque offers robust reporting and analytics, which can complement other data sources and help identify key insights even when some data is not easily accessible. With Flinque, brands and agencies can maintain a strategic approach that aligns with their specific objectives.
Ultimately, the ideal measurement approach will differ based on each brand’s unique goals, resources, and data access. And it’s important to frequently revisit and revise these strategies as new data becomes available or market conditions change.