What Is Google Places ID and How It Improves Transaction Data

Every card payment generates a transaction record. But if you look at the raw data behind that record, you'll quickly notice a problem: the location information it contains is almost never specific enough to tell you where the customer actually was.

Google Places ID solves exactly this problem - and when it's integrated into a transaction data enrichment layer like Tapix, it becomes a powerful anchor for merchant recognition, location-based insights, and features that users care about.

What is Google Places ID?

A Google Places ID is a unique textual identifier that pinpoints a specific real-world place in the Google Places database and across Google Maps. Every business, landmark, park, and even street address that exists in Google's ecosystem can have its own Place ID - a string that looks something like ChIJgUbEo8cfqokR5lP9_Wh_DaM.

The identifier works consistently across multiple Google Maps Platform APIs - the Places API, the Geocoding API, the Maps JavaScript API, the Maps Embed API, and others. That cross-API consistency is one of its core strengths: once you have a Place ID, you can use it to retrieve a full set of place details including the exact name, address, business type, opening hours, ratings, and geographic coordinates.

Place IDs are available for most types of locations globally, from a single shop branch to an airport terminal, making them one of the most reliable location standards available for any system that needs to work at scale across multiple countries.

In short: a Google Places ID doesn't just tell you a city or region. It tells you the exact door.

Why transaction data lacks precise location

A standard payment transaction record contains a limited set of fields. The core identifiers, like POS ID, Merchant ID, transaction descriptor, and Merchant Category Code (MCC), are designed to route and process payments, not to describe the physical world.

The location data embedded in transactions typically includes only a city and a country. On the surface, that sounds useful. In practice, it creates a serious gap.

City is not a location. A transaction showing "London, UK" could refer to any one of thousands of merchants operating across the city. A description like "TESCO" with a city tag tells you almost nothing about which specific branch was visited.

There are additional complications that make the raw location data even less reliable:

• The city or country field often reflects the acquirer or payment processor's registered location, not where the transaction physically took place.
• Data can be missing entirely, particularly for online transactions or certain merchant categories.
• Formatting and completeness vary significantly between payment networks, acquirers, and geographies.

How Google Places ID improves transaction data

When a transaction is linked to a Google Places ID, everything changes. Instead of a vague location signal, you have a stable, globally consistent reference to a specific physical place - one that can be queried for a full set of structured details through the Google Maps Platform.

Assigning a Google Places ID to transaction data enables:

Accurate merchant recognition: Rather than relying on inconsistent description or MCC codes alone, the enrichment layer can match the transaction to a verified business record.  

Standardised location identity: Multiple transactions at the same physical location, even if they carry slightly different descriptor formats or come from different payment networks, can be resolved to the same Place ID.  

Better categorisation: MCC codes cover broad industry categories, and research suggests only around half of transactions can be accurately categorised from MCC alone. Place-level data makes it possible to categorise at the merchant level, distinguishing, for example, between a premium grocery store and a discount supermarket that share the same MCC.

Location-based insights: With a verified Place ID, banks and fintechs can build features that go well beyond a list of transactions - interactive maps, spending breakdowns by neighbourhood, travel tracking, and proximity-based services.

While transaction data describes a financial event, Google Places ID connects that event to the real world.

Real example: bunq + Tapix

One of the clearest illustrations of what becomes possible when transactions are linked to Google Places IDs comes from bunq - the Dutch neobank and the second-largest digital bank in Europe, operating across all EU countries with over 14 million users.

bunq wanted to give its users a genuinely spatial view of their spending - not just a list, but an interactive map showing exactly where every transaction happened. To build it, they needed two things: a reliable way to extract location identity from raw transaction data, and a platform that could render the results at scale.

Here's how the flow works:

1. Raw transaction data enters the Tapix enrichment layer. Tapix processes the merchant names, transaction descriptors, and available location fields - extracting and analysing the signals needed to identify the likely merchant and location.
2. Tapix resolves the merchant identity and assigns a Google Places ID. Each transaction is matched to a specific entry in the Google Places database, providing a stable, verified location reference.
3. bunq uses the Google Maps Platform to retrieve place details. With the Place ID in hand, bunq queries the Places API for full business details (name, address, business type, coordinates) and displays these to the user.
4. The transaction appears on an interactive map in the bunq app. Users see exactly where they spent their money, with the ability to explore spending geographically, view place recommendations from other bunq users, and gain a deeper understanding of their habits.

The results have been significant. Since early 2024, the number of active map users in the bunq app has doubled, with the average user opening the map once per week. Tapix's enrichment delivers over 90% transaction categorisation and 99.9% data accuracy - providing the kind of reliability that makes consumer-facing location features viable.

What this enables for banks

The bunq example demonstrates what's possible at the consumer UX level. But the implications of connecting transaction data to Google Places IDs extend across multiple areas of bank product development:

Clear transaction history: Replacing ambiguous merchant descriptors with verified place names and details is one of the most direct improvements a bank can make to the customer experience - reducing confusion, support contacts, and disputed transactions.

Location-based Personal Financial Management: With place-level data, spending breakdowns become genuinely useful. Customers can see not just that they spent in a certain category, but where - enabling more meaningful budgeting tools and financial coaching features.

Fraud detection: Location anomalies become detectable when transactions carry verified geographic coordinates. A transaction from a Place ID that is geographically inconsistent with the customer's recent activity is a meaningful signal that city-level data simply cannot provide.

ATM and nearby merchant features: Place-level data enables proximity-based features - surfacing relevant merchants, services, or ATMs based on a user's location history or current context.

Travel insights: For banks serving internationally mobile customers, Google Places IDs make it straightforward to identify and label transactions that occurred abroad - enabling travel summaries, currency breakdowns, and international spending insights without relying on inconsistent country codes.

All of these use cases share a common dependency: the transaction must be linked to a verified, specific location. Raw transaction data doesn't provide that. Tapix enrichment - with Google Places ID as the output anchor - does.

Interested in how Tapix enriches transaction data with Google Places ID? Explore the Tapix product page or read the full bunq case study.