Agentic intelligence on the buy side.
You set the objectives; Impulsion AI adjusts the buy without waiting for the weekly review.
Reaching the right user through profiling, not volume.
4 narrowing layers.
Socio-demographic
Age, gender and socio-economic status.
Interests and behaviour
Declared interests and purchase signals.
Contextual
Verticals and keywords.
Brand and conquesting
Existing brand customers, for loyalty.
Plus each campaign’s custom audiences and GEO proximity.
CTV: clusters built on actual viewing.
We group audiences by what they watch, not by catalogue genre.
Content analysis
Genre, GEO, seasonality, emotions, cast and viewing figures.
Cluster building
Grouping by real viewing interest.
Optimisation
More weight on the clusters that perform best during the campaign.
Example clusters
- Most-watched films
- Most-watched series
- Most-watched at the weekend
- Most-watched comedy
- Most-watched Christmas films
- Most-watched thrillers
- Superhero fans
- Live sport
One strategy, many audiences, many messages.
Creative stops being just aesthetics and becomes an optimisation variable.
- Audience
- Context
- Device
- Time
- GEO
- Creative
- Message
- Product
- Call to action
- By audience
- Same product, a message for frequent travellers.
- By city
- Same product, a message for London.
- By moment
- Same product, a message for the weekend.
Custom algorithms per advertiser and product.
Impulsion AI detects performance patterns and moves bids and budget to where the campaign KPI is strongest: viewability, VTR, CTR or reach.
- Place
- London
- Day
- Sunday
- Time
- 15:00
Granular pixel tagging. Campaign tracking.
- Interest
- GEO
- Format
- Device
- Time slot
- Placement