The Power of Grow
FinSnap is Grow’s proprietary bank account aggregator, enabling users to link all their financial products from various banking relationships through one platform. The data collected and analyzed through FinSnap powers other features of the Grow Platform.
Raw Cash Flow Data Collection
FinSnap’s base feature. With your customers’ permission, extract up to 3 years of cash flow data from their verified bank accounts. All retail banking products data present in a customers’ online banking are available and passed along through our API.
Transaction Tagging & Categorization
FinSnap tags user transactions in order to categorize your customer’s cashflow. Understand individual spend, identify brand loyalty, segment spend by broad group, and identify liabilities not reported to credit bureaus.
Account Number Identification
Automatically identify the user’s name and bank account number to prove ownership of a Canadian account to pass FINTRAC dual process method. FinSnap removes the need to manually request void cheques and direct deposit forms.
FinSnap identifies and verifies data such as income, housing costs, obligations, and NSF fees charged. Additionally, it can identify bill payees and recurring transactions to enable Grow’s Payment Switching add-on.
FinSnap continuously improves it’s algorithms to identify the user’s other bank products within their verified account and automates sensible cross-sale opportunities that make sense both for your customers and your business.
Product-level information and metadata
Identify renewal dates on mortgage products, interest rates on credit products, like credit cards and lines of credit, and repayment history on all products attached to the customer’s online banking.
How do we use customer data?
We are transparent about how we use data from our software to improve future iterations of our products
Grow is more than happy to expunge any and all Personally Identifiable Information according to your needs, so your customer’s data is never at risk
Grow uses derivative data – anonymized and aggregate data – to improve our software’s conversion rates, usability, fraud and compliance algorithms. We create a network effect with this data so that the services are optimized using the largest and most reliable data set available.
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