Hey everyone 👋 Quick question — does anyone know of tools or reliable methods to find and estimate a company’s transaction volume (monthly/yearly), I want to being able to identify companies with high digital/customer transaction activity. Any tips, APIs, or data sources you’ve used would be much appreciated 🙏
built this via Chat...sure you already did....tough one but doable: 1. Start with a company universe
Pull a broad list from LinkedIn Sales Navigator, Apollo, or Crunchbase for industries where high transaction activity is likely (ecommerce, ticketing, marketplaces, subscription services, travel, etc.).
2. Use web and app traffic as the core input
Similarweb / Semrush
Gather monthly unique visitors and session counts.
Apply an assumed conversion rate for the industry (e.g., ecommerce 2–3%, marketplaces 5–7%, SaaS free-to-paid 1–2%).
Multiply by assumed average order value (AOV) for the industry.
Example: 1M monthly visits × 2% conversion × $60 AOV = $1.2M monthly in transactions (before seasonality adjustment).
Apptopia / Sensor Tower (for app-driven businesses)
Pull monthly active users (MAU) and assumed in-app purchase or transaction frequency per user.
3. Add public proxy signals to refine the estimate
Review site velocity: Track monthly review counts on Trustpilot, Yelp, Google Reviews.
If a business gets 2,000 reviews/month and the industry benchmark is 1 review per 200 orders → ~400,000 monthly orders.
Job postings: More openings in payments, fraud prevention, and customer service often track with high transaction volume.
Social engagement: Follower growth and engagement rates can correlate with customer transaction spikes (esp. in B2C).
4. Create an assumption-based scoring model
Inputs: traffic volume, app usage, review velocity, and job posting growth.
Weight these according to their correlation with transactions in that industry (e.g., 50% web traffic × conversion × AOV, 30% review velocity, 20% other signals).
Output: Estimated monthly and yearly transaction volume entirely from public sources.
5. Example flow in practice
Get traffic → Similarweb says 750k monthly visits.
Apply industry conversion (2.5%) → ~18,750 orders/month.
Apply AOV ($50) → $937,500 monthly volume.
Cross-check with reviews: 500 reviews/month, 1 review per 40 orders → ~20,000 orders/month (close enough to support the estimate).
Are these small, medium size, or public companies? We are gathering the data per account using LLMs for our FinTech Payment customers and it works quite well. But they use a set of different proxies and measures to correlate it with. How precise and accurate does the data need to be?
Francheska T. there’s no single tool, but you can estimate a company’s transaction volume by combining a few sources: - For public companies, check annual/quarterly reports. - For private or D2C brands, use tools like Similarweb, BuiltWith, Apollo, Clearbit, PipeCandy, or Store Leads to get web traffic, tech stack, and e-commerce activity. - Combine data for a ballpark estimate there’s no perfect answer, but this gets you close.
Dr. D. They’re companies of all sizes. The information needs to be accurate enough to be reliable and actionable, so it can provide real value for prioritization. Could you share more about how you’re feeding the LLMs to get these transaction volume estimates? I’d love to understand your data sources and approach.
Happy to share with you some examples. Do you have a set of 30-50 target companies? Happy to send over a loom. I can also come up with some companies of course.
It fetches the resources and links where the data is from, so easier to show then describe here:)
