Customore

Customore

Unify your eCommerce, Marketing, and Product data enabling your teams to.

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Financials

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-177 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

More about Customore
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Customore is a technology startup that operates in the eCommerce and online marketing sector. The company provides a data automation solution that unifies eCommerce, marketing, and product data. This solution is designed to help businesses streamline their data management processes and make more informed decisions.

Customore's primary clients are businesses that operate in the eCommerce and online marketing space. These businesses often have to deal with large volumes of data from various sources, which can be time-consuming and challenging to manage. Customore's technology automates the data pipeline, eliminating the need for manual data processing and allowing teams to focus on more strategic tasks.

The company's business model is based on providing a software solution that connects to various platforms to collect both private and publicly available data. If a business's primary platform is not yet integrated, Customore can ingest any raw data file until the platform is added to their roadmap. This flexibility makes the company's solution adaptable to a wide range of business needs.

Customore's revenue is likely generated through a subscription-based model, where clients pay a recurring fee to access the company's data automation solution. This model provides a steady stream of revenue and allows the company to scale its operations.

In summary, Customore is a promising startup that offers a valuable solution for businesses in the eCommerce and online marketing sector. By automating the data pipeline, the company helps businesses save time, improve efficiency, and make more informed decisions.

Keywords: eCommerce, Online Marketing, Data Automation, Data Management, Business Efficiency, Software Solution, Subscription Model, Data Pipeline, Data Collection, Data Processing.

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