Build rich audiences that scale
Unlock and combine any dataset all unified by location
Traditional filtering approach
Filtering geo-structured data sets (using and/or rules) to build audiences mean you cannot achieve scale AND richly defined audiences.
If you prioritise scale you sacrifice audience targeting. If you prioritise targeting you sacrifice scale.
Georeferenced data
At Taptap our georeferenced data is individually then collectively indexed. Indexing thresholds are set based on the importance of each dataset, then multiple datasets are combined for an overall index.
Map these overall indexes by areas of concentration from low to high for customisable activation that delivers rich audiences and scale.
Build rich audiences that scale
Unlock and combine any dataset all unified by location
Traditional filtering approach
Filtering geo-structured data sets (using and/or rules) to build audiences mean you cannot achieve scale AND richly defined audiences.
If you prioritise scale you sacrifice audience targeting. If you prioritise targeting you sacrifice scale.
Georeferenced data
At Taptap our georeferenced data is individually then collectively indexed. Indexing thresholds are set based on the importance of each dataset, then multiple datasets are combined for an overall index.
Map these overall indexes by areas of concentration from low to high for customisable activation that delivers rich audiences and scale.
More effective and efficient activation
Build contextual triggers with dynamic datasets
Static datasets
Only using static datasets that don’t change regularly (like sociodemographics and purchase behaviour) or applying basic dynamic data sets (like weather and traffic) limits activation opportunities.
Dynamic datasets
Taptap onboards and analyses a wide variety of dynamic datasets that change hour to hour like mobility behaviour, social media engagement and online content interest. Historical and real time modelling increases the efficiency of media spend by activating only moments that matter and pausing during less favourable moments
Traditional filtering approach
Filtering geo-structured data sets (using and/or rules) to build audiences mean you cannot achieve scale AND richly defined audiences.
If you prioritise scale you sacrifice audience targeting. If you prioritise targeting you sacrifice scale.
Georeferenced data
At Taptap our georeferenced data is individually then collectively indexed. Indexing thresholds are set based on the importance of each dataset, then multiple datasets are combined for an overall index.
Map these overall indexes by areas of concentration from low to high for customisable activation that delivers rich audiences and scale.
Build rich audiences that scale
Unlock and combine any dataset all unified by location
Static datasets
Only using static datasets that don’t change regularly (like sociodemographics and purchase behaviour) or applying basic dynamic data sets (like weather and traffic) limits activation opportunities.
Dynamic datasets
Taptap onboards and analyses a wide variety of dynamic datasets that change hour to hour like mobility behaviour, social media engagement and online content interest. Historical and real time modelling increases the efficiency of media spend by activating only moments that matter and pausing during less favourable moments
More effective and efficient activation
Unlock and combine dataset by indexing
Postal code sector
The industry norm is to use postal code sectors as the most granular geographic area for the planning, activation and reporting of campaigns.
11,232 in UK
Geohashes
At Taptap we use geohashes, a 600m x 900m square that offers greater granularity vs postal code sectors. Aggregate data by geohash and group those with similar characteristics for smarter and fully customisable campaigns.
More precise than postcode sectors
Get more granular with geohashes
More precise than postcode sectors
Get more granular with geohashes
Postal code sector
The industry norm is to use postal code sectors as the most granular geographic area for the planning, activation and reporting of campaigns.
11,232 in UK
Geohashes
At Taptap we use geohashes, a 600m x 900m square that offers greater granularity vs postal code sectors. Aggregate data by geohash and group those with similar characteristics for smarter and fully customisable campaigns.
