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Our platform takes on your branding, our algorithms train to your business, leaving you with your own, fine-tuned view of the world.
Our ready-made products offer some great solutions: A host of rich data, research designed, road tested, rapid response activities and dashboards.
Whalar is an influencer marketing company on a mission to 'Liberate the Creative Voice'. Whalar is focused on leveraging technology to provide a new operating model for producing high quality creative work, accessing engaged audiences and gaining diverse consumer insights. They are the Facebook, Instagram and Snapchat official partner for influencers, have advertising legend Sir John Hegarty as Chairman and work with global brands like Unilever, Diageo, Estee Lauder, Nike, Apple and Ralph Lauren.
Whalar is an influencer marketing company on a mission to 'Liberate the Creative Voice'. Whalar is focused on leveraging technology to provide a new operating model for producing high quality creative work, accessing engaged audiences and gaining diverse consumer insights. They are the Facebook, Instagram and Snapchat official partner for influencers, have advertising legend Sir John Hegarty as Chairman and work with global brands like Unilever, Diageo, Estee Lauder, Nike, Apple and Ralph Lauren.
Despite the huge growth in influencer marketing in the past few years, no one has really established a consistent approach to measurement. The traditional methodology for testing content requires setting up research, fieldwork and analysis, takes 15 days and is very costly. There is currently no quick and scalable way to measure the impact of Instagram influencer marketing.
Whalar came to us asking for help to create an organic, push-button way to measure the impact and effectiveness of Instagram influencers, including the design of a performance metric that would capture the nuances of influencer marketing and as a result, confirm them as the leading influencer marketing agency.
We built a metric for organic influencer marketing which is now a default option on all their campaigns, helping Whalar to revolutionise the influencer marketing industry.
Despite the huge growth in influencer marketing in the past few years, no one has really established a consistent approach to measurement. The traditional methodology for testing content requires setting up research, fieldwork and analysis, takes 15 days and is very costly. There is currently no quick and scalable way to measure the impact of Instagram influencer marketing.
Whalar came to us asking for help to create an organic, push-button way to measure the impact and effectiveness of Instagram influencers, including the design of a performance metric that would capture the nuances of influencer marketing and as a result, confirm them as the leading influencer marketing agency.
We built a metric for organic influencer marketing which is now a default option on all their campaigns, helping Whalar to revolutionise the influencer marketing industry.
Despite the huge growth in influencer marketing in the past few years, no one has really established a consistent approach to measurement. The traditional methodology for testing content requires setting up research, fieldwork and analysis, takes 15 days and is very costly. There is currently no quick and scalable way to measure the impact of Instagram influencer marketing.
Whalar came to us asking for help to create an organic, push-button way to measure the impact and effectiveness of Instagram influencers, including the design of a performance metric that would capture the nuances of influencer marketing and as a result, confirm them as the leading influencer marketing agency.
We built a metric for organic influencer marketing which is now a default option on all their campaigns, helping Whalar to revolutionise the influencer marketing industry.
Despite the huge growth in influencer marketing in the past few years, no one has really established a consistent approach to measurement. The traditional methodology for testing content requires setting up research, fieldwork and analysis, takes 15 days and is very costly. There is currently no quick and scalable way to measure the impact of Instagram influencer marketing.
Whalar came to us asking for help to create an organic, push-button way to measure the impact and effectiveness of Instagram influencers, including the design of a performance metric that would capture the nuances of influencer marketing and as a result, confirm them as the leading influencer marketing agency.
We built a metric for organic influencer marketing which is now a default option on all their campaigns, helping Whalar to revolutionise the influencer marketing industry.
Despite the huge growth in influencer marketing in the past few years, no one has really established a consistent approach to measurement. The traditional methodology for testing content requires setting up research, fieldwork and analysis, takes 15 days and is very costly. There is currently no quick and scalable way to measure the impact of Instagram influencer marketing.
Whalar came to us asking for help to create an organic, push-button way to measure the impact and effectiveness of Instagram influencers, including the design of a performance metric that would capture the nuances of influencer marketing and as a result, confirm them as the leading influencer marketing agency.
We built a metric for organic influencer marketing which is now a default option on all their campaigns, helping Whalar to revolutionise the influencer marketing industry.
Despite the huge growth in influencer marketing in the past few years, no one has really established a consistent approach to measurement. The traditional methodology for testing content requires setting up research, fieldwork and analysis, takes 15 days and is very costly. There is currently no quick and scalable way to measure the impact of Instagram influencer marketing.
Whalar came to us asking for help to create an organic, push-button way to measure the impact and effectiveness of Instagram influencers, including the design of a performance metric that would capture the nuances of influencer marketing and as a result, confirm them as the leading influencer marketing agency.
We built a metric for organic influencer marketing which is now a default option on all their campaigns, helping Whalar to revolutionise the influencer marketing industry.
Ever imagined about having an automated music playlist that reads your current emotional status? Well now, this future is getting real. In partnership with Spotify, Element Human deployed facial coding to develop the world’s first emotion-driven music discovery platform.
Ever imagined about having an automated music playlist that reads your current emotional status? Well now, this future is getting real. In partnership with Spotify, Element Human deployed facial coding to develop the world’s first emotion-driven music discovery platform.
Spotify currently uses a database analysis system to uncover their users’ music preferences. Hence, Element Human, exclusively for Huddle, explored the possibility of an emotion-driven music recommendation system. To do so, we focused on what people’s emotional engagement indicate about their music preferences.
Listeners first did a questionnaire about their musical preferences. They watched a mashup of indie artists to measure their emotional engagement while exploring new music. Participants received real-time report results of their emotions during the video and a full report of their overall emotional engagement.
Each participant was given a persona profile comparing their emotional engagement towards different music genres with their preferred music genres. Individual results displayed that people often engaged with music genres beyond their preferred genres. We made 97 emotional discoveries in total and 87 potential new listeners, producing a lead conversion of 48%. That is one new listener every 4:48 seconds!
All in all, through application of Element Human's underlying technology, Spotify crafted a groundbreaking emotion-based music discovery platform. This platform allowed Spotify to understand the musical preferences of users beyond what they claim to be preferred. This allowed Spotify to uncover their listeners’ implicit musical taste, working towards shaping the world's very first emotion-based music recommendation software.
Spotify currently uses a database analysis system to uncover their users’ music preferences. Hence, Element Human, exclusively for Huddle, explored the possibility of an emotion-driven music recommendation system. To do so, we focused on what people’s emotional engagement indicate about their music preferences.
Listeners first did a questionnaire about their musical preferences. They watched a mashup of indie artists to measure their emotional engagement while exploring new music. Participants received real-time report results of their emotions during the video and a full report of their overall emotional engagement.
Each participant was given a persona profile comparing their emotional engagement towards different music genres with their preferred music genres. Individual results displayed that people often engaged with music genres beyond their preferred genres. We made 97 emotional discoveries in total and 87 potential new listeners, producing a lead conversion of 48%. That is one new listener every 4:48 seconds!
All in all, through application of Element Human's underlying technology, Spotify crafted a groundbreaking emotion-based music discovery platform. This platform allowed Spotify to understand the musical preferences of users beyond what they claim to be preferred. This allowed Spotify to uncover their listeners’ implicit musical taste, working towards shaping the world's very first emotion-based music recommendation software.
Spotify currently uses a database analysis system to uncover their users’ music preferences. Hence, Element Human, exclusively for Huddle, explored the possibility of an emotion-driven music recommendation system. To do so, we focused on what people’s emotional engagement indicate about their music preferences.
Listeners first did a questionnaire about their musical preferences. They watched a mashup of indie artists to measure their emotional engagement while exploring new music. Participants received real-time report results of their emotions during the video and a full report of their overall emotional engagement.
Each participant was given a persona profile comparing their emotional engagement towards different music genres with their preferred music genres. Individual results displayed that people often engaged with music genres beyond their preferred genres. We made 97 emotional discoveries in total and 87 potential new listeners, producing a lead conversion of 48%. That is one new listener every 4:48 seconds!
All in all, through application of Element Human's underlying technology, Spotify crafted a groundbreaking emotion-based music discovery platform. This platform allowed Spotify to understand the musical preferences of users beyond what they claim to be preferred. This allowed Spotify to uncover their listeners’ implicit musical taste, working towards shaping the world's very first emotion-based music recommendation software.
Spotify currently uses a database analysis system to uncover their users’ music preferences. Hence, Element Human, exclusively for Huddle, explored the possibility of an emotion-driven music recommendation system. To do so, we focused on what people’s emotional engagement indicate about their music preferences.
Listeners first did a questionnaire about their musical preferences. They watched a mashup of indie artists to measure their emotional engagement while exploring new music. Participants received real-time report results of their emotions during the video and a full report of their overall emotional engagement.
Each participant was given a persona profile comparing their emotional engagement towards different music genres with their preferred music genres. Individual results displayed that people often engaged with music genres beyond their preferred genres. We made 97 emotional discoveries in total and 87 potential new listeners, producing a lead conversion of 48%. That is one new listener every 4:48 seconds!
All in all, through application of Element Human's underlying technology, Spotify crafted a groundbreaking emotion-based music discovery platform. This platform allowed Spotify to understand the musical preferences of users beyond what they claim to be preferred. This allowed Spotify to uncover their listeners’ implicit musical taste, working towards shaping the world's very first emotion-based music recommendation software.
Spotify currently uses a database analysis system to uncover their users’ music preferences. Hence, Element Human, exclusively for Huddle, explored the possibility of an emotion-driven music recommendation system. To do so, we focused on what people’s emotional engagement indicate about their music preferences.
Listeners first did a questionnaire about their musical preferences. They watched a mashup of indie artists to measure their emotional engagement while exploring new music. Participants received real-time report results of their emotions during the video and a full report of their overall emotional engagement.
Each participant was given a persona profile comparing their emotional engagement towards different music genres with their preferred music genres. Individual results displayed that people often engaged with music genres beyond their preferred genres. We made 97 emotional discoveries in total and 87 potential new listeners, producing a lead conversion of 48%. That is one new listener every 4:48 seconds!
All in all, through application of Element Human's underlying technology, Spotify crafted a groundbreaking emotion-based music discovery platform. This platform allowed Spotify to understand the musical preferences of users beyond what they claim to be preferred. This allowed Spotify to uncover their listeners’ implicit musical taste, working towards shaping the world's very first emotion-based music recommendation software.
Spotify currently uses a database analysis system to uncover their users’ music preferences. Hence, Element Human, exclusively for Huddle, explored the possibility of an emotion-driven music recommendation system. To do so, we focused on what people’s emotional engagement indicate about their music preferences.
Listeners first did a questionnaire about their musical preferences. They watched a mashup of indie artists to measure their emotional engagement while exploring new music. Participants received real-time report results of their emotions during the video and a full report of their overall emotional engagement.
Each participant was given a persona profile comparing their emotional engagement towards different music genres with their preferred music genres. Individual results displayed that people often engaged with music genres beyond their preferred genres. We made 97 emotional discoveries in total and 87 potential new listeners, producing a lead conversion of 48%. That is one new listener every 4:48 seconds!
All in all, through application of Element Human's underlying technology, Spotify crafted a groundbreaking emotion-based music discovery platform. This platform allowed Spotify to understand the musical preferences of users beyond what they claim to be preferred. This allowed Spotify to uncover their listeners’ implicit musical taste, working towards shaping the world's very first emotion-based music recommendation software.
Extra! Extra! Read all about it!
This is a sample of the capabilities included, yes - the customized slide deck too.
"Their cutting edge technology and innovative methodology mean that we not only measure the impact of creator content for brands, but we can also explain the "why" behind those results"
"Element Human was not just key for the BBC’s project but also was engaging and a great learning experience for me personally!"
"Element Human helps us deliver AI solutions for non-AI people. Developing plug and play solutions that help us capture real time human response to brand experiences"
