It has been an exciting week for Launchmetrics, seeing our data analysis of the The Ferragnez wedding in the press all around the world. And, since many of you have asked, we wanted to take this opportunity to explain in more detail exactly how our proprietary audience-driven Media Impact Value™ algorithm (MIV®) works.
In the fashion, luxury, and cosmetics industries, PR and communications professionals work tirelessly to identify the right influencers and celebrities to work with, in order to generate coverage for their brands. At Launchmetrics, we seek to measure campaigns, product launches, and other marketing actions in order to offer our clients clarity on the success of their actions.
Our team of Data Scientists work with monitoring tools and a proprietary algorithm (MIV) to place a monetary value on each type of post, whether from online media, social or print publications. This process takes various factors into account, both quantitative and qualitative, according to the quality of the post, the content, the quality of the mention (positive or negative), and many other details. The objective of this whole process is to calculate the ROI from the product launch strategies across all channels, as precisely as possible.
Thanks to our data tracking and the calculation of MIV, brands like Dior are able to know that dressing Chiara Ferragni on her wedding day was a spot on collaboration that generated over $5.2 million in MIV for the brand. So much of the coverage was focused on the dresses that Chiara wore, that Dior’s MIV represents 15% of the global impact generated by #TheFerragnez wedding.
Yet, then there’s the Royal Wedding. While Givenchy’s MIV represents 7% of the overall media impact generated by Meghan Markle and prince Harry’s nuptials, the total monetary value for Givenchy was over $22.6 million. Although Givenchy’s percentage of total MIV is lower, the monetary value was four times higher due to the overall volume of coverage on the royal wedding.
This is why it’s vital to take other factors into account when benchmarking, such as the overall volume of coverage for each event, or the fact that #TheFerragnez’s audience was more fashion-focused (which may be why Dior’s chunk of the global MIV is higher), meanwhile The Royal Wedding’s audience was clearly a wider, general audience who may have not focused so much on mentioning fashion brands when sharing posts about the momentous day.
We hope this post has offered clarity in regards to how audience-drive Media Impact Value works, but in case of any doubts, don’t hesitate to ask us in the comments below!
Emma
How do you calculate the total monetary value exactly? I am working in Social Media Analytics and would like to know more about how you calculate a monetary value generated by a post. Do you take in account the ‘assumed sales’ consequent to the post, in the calculations?
Thanks a lot in advance for your help!
Rosanna Ryan
Hello Emma,
Thanks for your question! We can put you in touch with a colleague who could give you more details about our algorithm and provide a demo. Let me know if you’re interested and we’ll put you in touch. Thank you!
Ginny
Hi. I have a similar question as Emma and would love to get in contact with one of your colleagues to learn more about it. Thanks!
Julia Cohen
Hi Ginny! Thank you for your comment, we will have a member of our team contact you shortly.