PAYMENTS

Analyze your PayPal data in plain English.

Bring PayPal transactions into the same workspace as your Stripe and order data.

PayPal data analysis questions

→ "What share of revenue came through PayPal vs Stripe this month?"
→ "Which products see the highest PayPal dispute rate?"
→ "Show me PayPal fee burden as a percentage of gross revenue by month."
→ "Find customers who paid by PayPal once and never returned."
→ "Compare conversion rates for PayPal vs card checkout sessions."

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick PayPal and follow the OAuth flow (or paste an API key, depending on the connector).
Run your first sync. Tablize pulls historical data and sets up an incremental cursor so future syncs stay fresh.
Open a new chat and ask your first question. Tablize already knows the schema.

What lands in your workspace

transactions All PayPal transactions with amount, currency, status, counterparty.

disputes PayPal disputes and resolutions.

Common workflows

Multi-processor margin view

Combine PayPal, Stripe, and Adyen into a single net-margin dashboard accounting for each processor's fees.

Revenue questions never stop at one number. With PayPal connected, you can trace a dip in net revenue down to the failed-payment reason, the refunded order, or the cohort that churned — and get the answer in plain English instead of exporting another CSV.

Once PayPal is authorized, tables like transactions and disputes sync into a dedicated schema in your workspace’s PostgreSQL — incrementally, so only new and changed rows move after the first backfill. Ask something like “What share of revenue came through PayPal vs Stripe this month?” and Tablize writes the SQL, runs it, draws the chart, and offers to keep the answer as a report, a scheduled script, or a live dashboard.

A setup teams reach for first — Multi-processor margin view: Combine PayPal, Stripe, and Adyen into a single net-margin dashboard accounting for each processor’s fees.

Try PayPal with Tablize.

Free to try on your own data. Your first answer in under 60 seconds.

Try free with your data