Deals
One row per benefit: discounts, cashback, interest-free installments, points, gifts, two-for-ones and special prices, each with its amounts, caps, minimum purchase, validity, schedule and the bank’s own conditions and terms.
- DEALS
Every card promotion in Paraguay’s retail banking market, in one structured, query-ready dataset.
Paraguay Bank & Card Promotions tracks the card promotions published by Paraguay’s banks, digital banks, cooperatives, finance companies and credit unions at supermarkets, restaurants, fuel stations, pharmacies, retailers and more. Each deal is linked to its bank, the cards it accepts, the merchant and its category, the days it applies and its fine print, so you can compare offers like-for-like instead of piecing them together from bank websites and social media.
A relational model of 11 views, documented column by column, that links every deal to everything needed to explain it.
One row per benefit: discounts, cashback, interest-free installments, points, gifts, two-for-ones and special prices, each with its amounts, caps, minimum purchase, validity, schedule and the bank’s own conditions and terms.
Every date each deal applies on, worked out from its validity and weekly or monthly schedule up to about four months ahead, so the deals of any day are a single filter.
Every institution tracked, the card products its deals name by type, network and tier, what a customer must meet to be issued each card, and the exact cards each deal accepts.
Every merchant a deal names, under one name however the banks spell it, and what it sells: supermarkets, dining, fuel, fashion and more.
The conditions that narrow a deal, written once and shared by every deal they limit: how the customer must pay, where, and who they must be, including what a deal shuts out.
A log of every update and how fresh it is. Deals the banks stop publishing are kept with the moment they were retired, so the history holds every deal ever seen.
Teams across finance, retail and technology ask very different questions of the same tables.
See the whole of Paraguay’s card promotion landscape: which banks are most active, which merchant categories and days of the week they compete for, and how offers change over time, without monitoring dozens of bank websites and social channels.
Benchmark the value of promotions across banks. Compare discount levels, caps, minimum purchases and eligible card tiers for the same merchant or category on any day, to calibrate promotion budgets or choose the bank partnerships that serve your customers best.
Match each user with the promotions their cards actually qualify for, filtered by merchant, category and day, with the fine print up front. Built for fintechs, comparison sites, super-apps, loyalty programs and banks.
Give chatbots, agents and RAG pipelines accurate answers to questions like “Which card gets me a discount at this supermarket today?” The normalized model maps directly to text-to-SQL and tool calls, so assistants query facts instead of guessing.
Built for anyone who needs to know where, when and with which card a deal applies.
The documentation ships with sample SQL for the questions buyers ask first. Each query runs as written: copy one and change its filters.
A compact market with strong fundamentals and a banking sector still competing for customers.
Available today on the Snowflake Marketplace, with more platforms on the way.
More data platforms are coming. If your team works in another warehouse, cloud or marketplace, tell us where, and we will put it first in line.
On Snowflake, through a Secure Share: the views appear as a read-only database in your own account, and updates land in place with nothing to load or refresh. More platforms are on the way.
The data is refreshed monthly. Every deal is checked again against its bank’s own page on each update, and the UPDATES view says when the latest one was recorded.
Tracking began in September 2026. Deals the banks stop publishing are kept with the moment they were retired, so the history holds every deal ever seen, not only current ones.
Yes. The Snowflake listing includes a free 7-day trial with the full schema, limited to Paraguay’s smallest banks, so you can test queries, dashboards and AI integrations first.
It is sold as a monthly subscription. Email us for current pricing, or to discuss delivery on another platform.
Names, descriptions, conditions and terms are in Spanish, exactly as the banks publish them. Codes, categories and every column description are in English.
Every amount carries its currency as an ISO 4217 code: Paraguayan guaraníes (PYG) or US dollars (USD).
No. Each schema version is a contract: a published column is never removed, renamed or redefined. A change that would break it ships as a new version alongside, and the old one keeps working.
Yes. The normalized model of banks, cards, deals, merchants, days and conditions maps directly to text-to-SQL, tool calls and retrieval pipelines, and every column carries a description an assistant can read.
Tell us what you are building. We will help with pricing, the trial and getting the data onto your platform.
Or write to [email protected]