BRANDthrō identifies personality traits of targets and brands via the Big 5 Ocean model and data science to identify optimal pathways to lean into help emotionally optimize CX.
Our eSRV API provides unbiased, machine-assisted exploitation of your competitors’ buying, selling and planning behaviors, optimizing your bidding accordingly, in real-time, to maximize the efficiency of every media dollar.
Our Emotional Profile Report (ePR) provides an actionable analysis of your target, including optimal trigger language, likelihood-to-engage models and data-enabled storytelling, all at-scale.
Our methods don't involve statistical analysis and don't require thousands of individual data points, so we can drill into the microsegments you need to grow your business tomorrow as easily as we can the bread-and-butter customers you rely on today.
WHAT THE WORLD'S BEST BRANDS DO WITH BRANDthrō
Adding depth of understanding to customer segmentation data helps marketers better understand targets on a micro, emotional + personality level.
aaS MARKETING INTELLIGENCE
Product marketing is one thing and service marketing is another. Getting someone to switch from a transactional relationship to one that is subscription based is rooted in making customers feel valued and emotionally engaged.
Our tools provide a powerful new lens for interpreting and evaluating your existing first- and zero-party datasets and our APIs allow you to turn those insights into programmatic decisions across your marketing organization.
Developing a data-led narrative about Purpose that is authentic + tied to day-to-day business, creates distinctive, emotionally optimized brand positioning, in the marketplace.
Employees want to be a part of a brand that celebrates diversity + inclusion authentically—connecting with them emotionally defrays costs associated with acquisition + retention.
IGNITE SPEND & TRUST
It is a proven fact that when brand affect, or positive emotional intensity, is increased with customers throughout the brand experience, trust + spend rise commensurately.