- Grasp market nuances, sub-segments, and audience dynamics.
- Target specific groups using 300+ data points.
- Deliver tailored advertising and content for each cluster.
- Acquire prospects and drive conversions.
1- Triangulation for influencers, VIP, relationship strength and communities
Firstly, by collecting online data and applying the triangulation methodology, marketers can improve the accuracy of their audience studies. They can achieve that through cross-referencing data from multiple sources and social networks. This approach identifies influencers, VIPs, and brand ambassadors. It also determines the relationship strength and proximity between consumers. Subsequently, topics discussed, hashtags, images, and other factors, with insights consolidated from social data, semantics, sentiment, and visual analysis can form thematic communities.
Quick overview of the information for any social profile user (Instagram example)
2- Augmented Research with AI
300+ data points for each consumer
Secondly, using nine AI services, marketers can gain insights into consumers’ behaviors, personalities, habits, needs, and lifestyles, with over 300 data points available per digital user. Indeed, AI facilitates the analysis of millions of online users and text inputs from various sources. As a consequence, it enables large-scale identification of consumer behaviors through psycholinguistic analysis. Therefore, this approach provides a deeper understanding of individuals. You can know their personality traits, needs, values, and consumption preferences, ultimately supporting client acquisition, retention, and marketing agility. Furthermore, AI helps deduce demographic variables such as age, sex, occupation, education, and location. This analysis is possible thanks to a combination of text analysis, visual recognition, social verification, and manual curation.
Identically, you can analyze millions of online users and text inputs from social media, websites, blogs, forums, reviews, and customer support conversations with big data. With psycholinguistic analysis anticipating 142 traits from the individual’s written language, you can identify consumer behaviors at scale.
Then, you get a deeper understanding of people’s personality characteristics, big five, needs, values, and consumption preferences. As a result, it helps engage online users on their terms. This powerful psychologic study enriches your group and segment analysis. Moreover, it will support your client acquisition by designing more efficient campaigns. Your retention will be enhanced by offering a personalized message, and your marketing agility by deciding on your Next Best Action…
Anticipate 142 personality traits from millions of online users at scale in every language
Quantitative insights from social media lack a formal methodology identifying the traditional demographic variables: age, sex, job, education, location, and more! But AI, when associated with Human Intelligence and the power of the Internet, can reliably assist you in deducing all these consumer variables. Then, you can easily determine all your segments and groups with a smart combination of different technologies. These technologies can be the following: text analysis, visual recognition, social verification, and manual curation…
Demographic data analysis on sex, age, and location from a smart combination of technologies
3- Clusters and personas
Classify similar consumers into logical groups called “clusters”
In the example above, five personas were built from the clusters, including the following:
- Full social media profile analysis (social statistics, audience, location, paid vs. organic, most relevant tags, hashtags, interests, brands).
- Personality analysis (big 5, basic, human values, fundamentals need, consumption preferences).
- Semantic, visual, and sentiment analysis reflecting the consumer’s mindset.
- Demographic data (age, sex, job, education, location) to grasp the user’s context.
Build your data-driven personas from 300+ variables from each consumer.