Data driven influencer marketing strategy
The aim of a data-driven influencer marketing strategy is to measure the performance of influencers and how the campaign is going. The data is driven by influencers’ social activities and used to grow the effectiveness of your investment and estimate the ROI later. In simple words, data-driven influencer marketing is estimating ROI based on the relevant statistics and data taken from the search of the influencers and onboarding until the end of the project.
So it is very important to select the best influencers to get the best results. You need not only like the influencers’ content and jumpt to connect with them.
You have to check particular metrics before to take that decision:
- Engagement rate
- Active usage
- Audience analysis
- Paid/sponsored posts
- Brand sentiment
- EMV (Earned media value)
- IMV (Influencer Media Value)
- CPP (cost per post)
- Revenue per post
How to select influencers
Finding the right influencers for your brand takes time and a lot of work. For a successful influencer marketing campaign, you need to define your objectives, define personas, describe target consumers, set time for the project, brief on content and give a time frames of your campaign to select the best influencers for your campaign.
Of course intuition plays a part in the selection process of the influencer. But don’t make it to the argument for choosing an influencer. to be part of your campaign. Let is be supported by data!
Results of campaigns
After completion of the project, we check the above-mentioned metrics again in our reports and check the ROI of your influencer marketing campaign what is the benefits to your brand, company, and share of voice your company owns.