Google analytics for physical retail sites only better, more accurate & greater detail1-10 Employees
- Website
- Location
- Newry
- Company size
- 1-10 people
- Total raised
- $195K
- Company type
- Limited Company
- Markets
Péarlaí careers
Shopping centres with a website use Google analytics or something similar to monitor who is visiting their site, when, for how long and where they visit on the site etc. While this is great they have no-idea or evidence if their website actually drives footfall or sales in their actual physical sites for their tenants.
Péarlaí enables shopping centres to know their shoppers personally, when they arrive, where they come from, how long they spend with them, how often they visit, where they go in their centre, house hold income, how many children they have and more. Péarlaí enables centres to engage with their customers in real time while on site, provide indisputable evidence on how effect the marketing is for individual tenants, detailed demographics on who their shoppers are and which routes they take for landlords to attract the perfect tenants and give centre management the ability to do all of this at the click of a button, saving them time and keeping their stakeholders happy.
Péarlaí enables shopping centres to know their shoppers personally, when they arrive, where they come from, how long they spend with them, how often they visit, where they go in their centre, house hold income, how many children they have and more. Péarlaí enables centres to engage with their customers in real time while on site, provide indisputable evidence on how effect the marketing is for individual tenants, detailed demographics on who their shoppers are and which routes they take for landlords to attract the perfect tenants and give centre management the ability to do all of this at the click of a button, saving them time and keeping their stakeholders happy.
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Jim Finnegan
Peter McCaul
C.E.O & Founder at Péarlaí. Péarlaí provide Google analytics features for physical shopping centre sites but with more detailed data and more accurately.
Valuation
$2.3M
Funded over
2 rounds
Latest round
Seed (Dec 2017)
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