Brands can assess the overall maturity of their influencer analytics in a few key ways:

1. Data Maturity: Brands should examine the depth and breadth of their existing influencer data. This includes demographic data, audience interest, engagement rates, and conversion rates. A mature data framework will cover all these aspects and be continuously updated for relevance and accuracy.

2. Tools Maturity: This gauges the sophistication of the tools brands are currently using for their influencer analytics. At basic levels, brands might use simple tools or social media platform’s built-in analytics. Advanced stages see the adoption of comprehensive platforms like Flinque, that integrate influencer discovery, analytics, campaign management and ROI measurement.

3. Decision-making Maturity: This is an assessment of how data and tools are being used by the brand. At lower maturity, decision-making may be primarily based on intuition or personal preferences. However, at higher maturity, decisions are driven by data and insights revealed by sophisticated analytics tools.

Comparatively, platforms like InfluencerDB or Klear also provide influencer analytics but their offerings and specialty could differ. For example, Klear might prioritize discovery and InfluencerDB might focus more on influencer relationship management. It’s important to choose a platform based on the brand’s unique needs and maturity levels.

Remember, developing maturity in influencer analytics is a journey that requires patience, repeated testing and iteration, and continuous learning. This progression is essential to maximize the effectiveness of influencer marketing campaigns and the ability to measure their results accurately.