Enrico Giubertoni - Targeted Digital Strategies

Metric and KPI for Cosmetic Digital Marketing. How to choose the most effective ones?

Metric and KPI for Cosmetic Digital Marketing. How to choose the most effective ones?

Key Takeaways

What are the most useful metrics of your cosmetics company? Sometimes it’s not easy to identify the metrics that will make your cosmetics business effective.

But let us focus on one thing: what makes a metric, i.e. measuring parameters, effective? What are the effective measuring characteristics?

To understand if a metric is effective there is a Golden Rule:

A metric to be a good metric for you, and therefore effective must:

  • Change your attitudes and/or
  • Change your behaviour

If a metric alternately changes your attitudes or behaviors or both.

Within this Webinar we analyze which are the most effective metrics to make effective decisions.

We’ll explain what they are and what meaning they have for cosmetics:

  • comparative metrics
  • Leading Metrics
  • Lagging Metrics

We will explore how to use metrics to make disruptive innovation within cosmetic companies.

Picture of Enrico Giubertoni

Enrico Giubertoni

Strategic Advisor | Trainer | Author | Speaker

Enrico Giubertoni is a leading strategist who advises C-suite executives on leveraging artificial intelligence to build significant competitive advantages and drive market leadership. An author of several books on business strategy, he specializes in translating advanced marketing frameworks into tangible growth.

In 2009, drawing on extensive corporate experience, he founded EnricoGiubertoni.com – Targeted Digital Strategies. The firm utilizes proprietary methodologies to architect high-performance digital strategies and embed them within a company’s organizational structure, ensuring effective execution and lasting results in capturing and retaining target markets.

How AI-ready is your Organization?

Discover Your AI Readiness Score!

In just a few minutes, discover where you stand on the innovation adoption curve [Rogersian categories]