8 – ComMetrics Footprint

Summary

The first 10 seconds decide if a user stays on your webpage or leaves again. The ComMetrics Footprint helps you improve your communication & benchmarks your performance agains the industry standard.

The ComMetrics Footprint (you are here) – is an algorithm that assigns a numerical weighting to each blog post to obtain the score ranging from 0 (worst) through 100 (best).

The ComMetrics Footprint is calculated by using six indices: ComMetrics Headline Score, ComMetrics Resonance Score, ComMetrics Mnemonic Score, ComMetrics Ripple Score, ComMetrics InfLink Score and the ComMetrics TriageHazard Score.

This information as obtained from each index is calculated into an overall score by giving each index a 1/6 weighting Sum [ComMetrics Headline Score, ComMetrics InvoRaction Score, ComMetrics Mnemonic Score ComMetrics Ripple Score, ComMetrics TriageHazard Score and the ComMetrics TriageHazard Score)]/ 6 = ComMetrics Footprint.

Click here to find out how we process the raw data. Before anything is calculated, all numbers are standardized using z-scores. Important is also to understand that we calculate the ComMetrics Footprint over a three months period. Therefore, all blog posts over a period of about 12 weeks or 90 days are included in the calculations.

Nevertheless, when a week has passed and we re-assess the ComMetrics Footprint (PS. we do it daily!), the oldest week from last period gets dropped to be replaced by the latest (i.e. most recent) week to have again about 90 days in the period measured to obtain the ComMetrics Footprint.

Then, the z-scores for the six indicators such as ComMetrics Headline Score, ComMetrics Resonance Score, ComMetrics Mnemonic Score, ComMetrics Ripple Score, ComMetrics InfLink Score and the ComMetrics TriageHazard Score. These scores are the added up to get an overall z-score. Each indicator is given the same weight.

At this point, the overall scores are compared and rescaled using 100 as the top score.

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You can find more details about the the Methodology regarding — Composite indicators ( How raw data are normalized, How rankings are calculated, What about missing values?, Trend time series, Weighting) AND — ComMetrics rankings (Method behind the numbers) using the links provided.