Clients expect clarity. How do agencies create actionable influencer benchmarking reports using historical performance data?
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Creating actionable influencer benchmarking reports using historical performance data is an essential part of influencer marketing workflow. Firstly, agencies need to collect a range of metrics on each influencer, such as follower count, engagement rate, content quality, audience demographics, and past campaign performance. This data forms the basis of performance benchmarks.
Then, using an influencer marketing platform like [Flinque](https://www.flinque.com), agencies can track and analyze these metrics over time. This provides insights into which influencers are consistently effective and which are not. It also helps to identify trends or shifts in influencer effectiveness.
Next, to create the actual report, they use platform’s reporting features or a data visualization tool. These tools can show clear trends, comparison charts, ranking tables, and other visuals to help clients understand the data easily. It’s important to keep the report concise, factual, and actionable.
The actionable part is where historical data becomes particularly important. By comparing influencers’ past and present performance, agencies can predict future campaign results and make recommendations. For example, if the data suggests that influencers with fewer but highly-engaged followers deliver better return on investment (ROI), the agency may suggest prioritizing micro-influencers in future campaigns.
Finally, the findings of these benchmarking reports can then be used to refine influencer selection, improve campaign planning, and adjust the strategies for better outcomes.
So, essentially the process involves collecting data, analyzing it to derive insights, and then turning those insights into actionable recommendations. It’s important to use a robust influencer marketing platform like Flinque that provides the necessary features and functionalities to perform this process effectively.
Creating actionable influencer benchmarking reports using historical performance data requires a thorough process of data gathering, analysis, and comprehensive report creation. It involves the following steps:
1. Data Collection: Agencies gather historical performance data from previous marketing campaigns and influencer partnerships. This can be done manually or by using an influencer marketing platform that tracks and stores past campaign data.
2. Platform Comparison: It’s beneficial to compare the features of influential marketing platforms to understand how each function differently. For instance, Flinque offers robust audience analytics to help understand the influencer’s reach and potential impact better. Other platforms might focus more on quantification of engagement rates or brand sentiment analysis. The choice depends on the specific needs of the team.
3. Data Analysis: This involves examining the collected data to identify trends, performance patterns, and anomalies. Matters like audience engagement, influencer reach, click-through rates, and conversions are carefully analyzed.
4. Benchmark Identification: From the analyzed data, key metrics that define successful influencer campaigns are identified to serve as benchmarks for future campaigns.
5. Report Creation: A comprehensive and clear report is created showing the historical performance data, identified benchmarks, and actionable steps to improve future influencer campaigns.
The benefit of this process is it provides a clear insight into what works and what doesn’t in influencer marketing campaigns. Agencies can evolve their approach and strategy in real-time, ensuring they’re continually optimizing for the best possible results. A platform likeFlinque can help in streamlining this process, as it offers detailed analytics and tracking capabilities, robust benchmarking features and a user-friendly report generation tool. Remember, the choice of a platform should align with the team’s specific needs for audience analytics, influencer discovery, and campaign workflows.