Plaace

Plaace

A data-driven platform matching retail properties and tenants. Learn more

Launch date
Employees
Market cap
-
Enterprise valuation
AUD15m (Public information from Jan 2024)
Company register number 924898127
Oslo Norway (HQ)
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DateInvestorsAmountRound

$110k

Seed

NOK1.5m

Grant
*

NOK4.0m

Seed

NOK3.6m

Grant
*

NOK16.3m

Seed
*

NOK2.0m

Grant
*

NOK10.0m

Valuation: NOK81.5m

Seed
Total FundingAUD7.2m

Recent News about Plaace

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Plaace.co is a data-driven platform that provides insights into commercial activity in various trading areas. It serves a range of clients, including retail and hospitality businesses, property developers, and shopping centers, primarily within the Norwegian market. The platform offers daily updated data on consumer spending patterns, visitor demographics, and business performance in specific areas.

The business model of Plaace.co is based on data analytics. It collects and analyzes data from various sources, such as BankAxept for card transactions and Telia for footfall data, to provide a comprehensive overview of trading and hospitality businesses. This includes revenue per branch, potential locations for establishment, and available retail and hospitality premises.

Plaace.co also provides demographic data to help clients optimize their stores, properties, or shopping centers. The platform uses machine learning to predict revenue, helping businesses make informed decisions about where to establish or expand their operations.

In terms of revenue generation, Plaace.co likely operates on a subscription-based model, charging clients for access to its data and insights. This is a common model for data analytics platforms, providing a steady stream of recurring revenue.

In summary, Plaace.co is a data analytics platform that provides valuable insights into commercial activity, helping businesses make informed decisions about where to establish or expand their operations.

Keywords: Data Analytics, Commercial Activity, Consumer Spending, Visitor Demographics, Business Performance, Retail and Hospitality, Property Development, Shopping Centers, Machine Learning, Subscription-Based Model.

Tech stack

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Tech stackLearn more about the technologies and tools that this company uses.