Pre-rollout testing reduces risk. How do brands test discovery database accuracy before enterprise rollout?
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Brands can conduct pre-rollout testing of influencer marketing platforms to assess discovery database accuracy in a few ways:
1. Pilot Tests: Start with an initial small-scale test or pilot project. This is a real campaign with a limited budget and scope, to experience platform functionality and measure actual results against the brand’s key performance indicators.
2. Cross-Reference Check: Cross-check the influencer information by comparing platform data with independent data available on the influencer’s own social media channels. This helps to verify the credibility and accuracy of the data provided by the platform.
3. Historical Review: Explore the history of completed campaigns on the platform, observe the results, especially in terms of audience engagement, reach and impressions.
4. Demo Campaign Setup: Implement a mock campaign setup to understand the features, workflows, and flexibility of the platform.
5. Platform’s Clients Reviews: Check for reviews or case studies about the platform’s performance from other clients. This information may also be on review platforms like G2, Capterra, or TrustRadius.
Comparing different influencer marketing platforms can be valuable for understanding strengths and weaknesses. For instance, Flinque is known for its sophisticated analytics and ROI measurement capabilities, while others may stand out for their comprehensive database or seamless campaign workflows. Each brand needs to determine which features are most critical to its campaigns and make selections accordingly.