Opsis emotion AI helps brands build a deeper emotional connection with the consumer by better understanding user behaviour, reactions toward advertising copies, products and brands.

Emotions drive our decisions, and are highly correlated with memory and purchase intent. 90% of buying decisions are made subconsciously, but 89% of consumers don’t feel a personal connection to the brands they are buying. This means a huge opportunity for brands to differentiate from competition by working to establish an emotional connection.

Opsis emotion AI helps consumer goods companies with creating a deeper emotional connection with the consumer, contributing to long-term brand building efforts for the brand. Our consumer insights solution leverages eye tracking and facial expression detection to understand user behaviour, reactions toward advertising copies, products and brands.

 

In advertising, emotion AI can be used as a tool to assess the emotional responses of the consumers to the advertisement and campaign. We measure the consumer’s unconscious emotional responses such as attention, engagement, valence, and joy to determine if the advertising copy or certain messaging causes high levels of liking. 

 

Retailers are moving towards creating flagship shop outlets with focus on customer experiences inside the shop, to create an emotional connection the customer. Opsis emotion AI tracks eye movements and facial expressions to measure emotional responses to know how customers perceive media and shopper experiences.

Advertising Research/Media Analytics

  • Determine the most effective advertising copy: Our emotion analytics link directly to outcome norms such as brand recall, sales lift, purchase intent and virality, which can be compared across different ads. These norms can be compared to those of competitors, by product category, geography, media length and repeat view.
  • Improve content messaging and story flow by detecting and refining those parts of the company’s ads that caused viewer confusion and low engagement
  • Identify the moments in the ad or messaging that were the most emotionally engaging
  • Increase creative efficacy 
  • Analytics can be used to direct marketing spend and increase the impact of media spend

Digital Marketing/E-Commerce

  • Integrating emotion detection into the company’s mobile app or webpage to obtain real-time customer analytics including emotional data points to provide deeper customer insights on brand perception
  • A/B testing on the company’s website uses emotion data to determine which variant is most effective at driving conversions and attracts the most traffic to the website. The information is used in making more effective designs for packaging.

DOOH (Digital Out of Home) Advertising

  • Emotion analytics generated from facial expressions, eye tracking of passers-by are found to link directly to brand recall, purchase intent and sales lift, measuring the effectiveness of the ad copy
  • Identify audience segments based on passers-by behaviours and predict buying patterns, helping to optimize DOOH plan
  • Contextualize ad campaigns to ‘here and now’, enabling advertisers to align messages with the consumer’s mindset in the moment, thus becoming relevant and useful to the consumer

In-Store Retail

  • Improved insights on consumer emotions and subconscious behaviour
  • Identify which products, advertisements cause the highest consumer liking and intent to purchase to direct marketing spend
  • Direct store layout for optimal ROI
  • Identify and target customers with higher chance of buying
  • Reduce customer acquisition costs