Hippoc
Les 3 principes de base
01.
L'attention instantanée
L'attention instantanée
Voyez les parties de vos créatifs qui attirent les yeux de vos clients dans les premières 3 secondes.
02.
La mémorabilité
La mémorabilité
Voyez les parties de vos créatifs que vos clients mémorisent
03.
Le Score d'impact
Le Score d'impact
En combinant l'attention instantanée et la mémorabilité, découvrez les parties de vos créatifs qui se démarquent dans l'esprit de vos clients.
We tested 31,171 consumers
16M+ images and videos analyzed
Our predictive model is 94% accurate
Précision
We withdrew about 20% of our data set before training and validating our AI models to astonishing results: Hippoc scores are the highest achieved in our field
Précision des prédictions
pour la mémorabilité
Précision des prédictions
pour l'attention instantanée
Ensemble de données
- Notre ensemble de données a été collecté selon les normes utilisées dans la recherche en neurosciences cognitives
- 31 171 consommateurs ont été exposés à des milliers d'images et des mesures d'attention et de mémoire ont été prises à l'aide de «eye tracking» et de tests de mémoire standardisés
Demographics
- 31K consumers across North America and Europe were tested.
- Users were aged between 10 and 60 years old, with an average of 33.5 years.
- 46% were women and 54% were men.
- The 16M+ visual content pieces were shown to 80 consumers each.
Sociodemographic consistency
- Using visuals we tested: We analyzed the cognitive responses of participants who saw the visual and compared it to the reactions of other participants, studying 70% for recall and 80% for attention.
- This ensured consistency in our findings in both categories, despite the sociodemographic differences in our participants.
- What we found was that, over the course of a lifetime, the human brain is shaped by evolution rather than individual experience.
- In other words, some visual cues are more appealing and easier to remember than others—regardless of the consumer and target demographic.
Algorithme
We trained our algorithm using state-of-the-art machine learning and cognitive neuroscience methods.
This automated tool predicts what garners attention and can test what will really stand out in an ad. After all, how an ad performs isn’t just about relying on our attention, and its effectiveness can’t always be studied.
The biggest takeaway is what a consumer remembers. And that’s where our proprietary Neuro-AI software comes in, an intelligent tool that accurately predicts attention span and memory.
We’ve trained our machines to provide the outmost reliable predictions, without even having to collect additional data from your audience. What this means is that you can perform user testing even if no other human has laid eyes on your visuals.
Our predictive analytics tool can be applied to all of your visual content, from digital and web ads, social media, print ads or out-of-home.
Précision
Our predictive model has an accuracy rate of 94% for instant attention.
- Before training our Neuro-AI models, we randomly sampled 20% of our total data set and evaluated its accuracy (not used for learning).
- Conclusions come from using the area under the curve (AUC Judd) metric, currently the main metric in MIT saliency benchmark.
We achieved 96% accuracy for lasting memory recall.
- We validated the solution’s accuracy by comparing our prediction to the results, basing it on attention and memory recall. This method resulted in the best score attainable in our scientific domain: 94% for instant attention and 96% for lasting memory recall.
Vie privée
All data is anonymized and randomized to ensure the protection of respondents’ private data and to respect GDRP laws and regulations.
