What is MARASA Consumer Intelligence?

Consumer Intelligence is on-demand consumer spending insight built on Canadian credit card transaction data. You load a credit budget, ask a question in plain language about local spend, growth, or trade areas, and get the insight with the underlying data that backs it up. It is built for retailers, marketers, product teams, e-commerce operators, and site selectors who need real consumer spending intelligence without a six-figure data contract.

How does pay-per-query pricing work compared to a data license?

Instead of a $30,000 to $100,000 per year data license, you pay only for the queries you run. You load a credit budget, ask what you want, get the insight, and pay only for that. Example queries range from about $5 for a local spend-and-growth question to roughly $50 for ranking the most underserved markets in Canada for your category.

What data does Consumer Intelligence cover?

Consumer Intelligence is built on Canadian credit card transaction data with continuous coverage from 2019 to 2026. It tracks every FSA and neighbourhood across Canada, 350,000 merchant locations, and roughly 3.5 billion transactions a year across 350+ categories of data.

What consumer questions can I ask?

Operators use Consumer Intelligence to answer what people in a specific area actually spend money on and whether it is growing, where customers come from and how far they travel to spend, whether a real-world event actually changed spending and whether it stuck, whether a category is shifting online or in-store in a given market, and how to rank candidate locations for a concept before signing a lease.

Can I use Consumer Intelligence from Excel or an AI assistant?

Yes. Beyond the web interface, Consumer Intelligence is available through MCP and Excel, so you can query Canadian consumer spending data directly from Claude, other MCP-compatible clients, or your spreadsheets.

Which areas of Canada does Consumer Intelligence cover?

Consumer Intelligence covers every neighbourhood and region across Canada at the FSA level, including major markets such as Toronto, Montreal, Vancouver, Calgary, Edmonton, Ottawa, and Winnipeg, so you can analyze spend down to a specific corridor or intersection.

Consumer Spend Data, À La Carte.

Real consumer spending intelligence from Canadian credit card data. Pay per query, no six-figure data contract.

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Built For

Where your next store wins

Backed By

MARASAConsumer Intelligence

How it works

Load a credit budget — queries start at $5

Ask what you want

Get the insight you need — with the data that backs it up

Pay only for that insight — nothing else

Also available via MCP and Excel.

Data behind it

2019–2026

Continuous transaction coverage

FSA-level

Neighbourhood granularity by postal code

300,000+

Merchant locations tracked across Canada

3.5 billion

Transactions processed annually

~800/sec

Transactions processed per second

350+

Spending categories

Built on transaction data from one of Canada's largest payment processors.

Start with your credit budget. Add more when you need it. No contract, license or procurement cycle.

Spot Check “What do people within a 10-minute walk of Saint-Laurent and Mont-Royal actually spend money on, and is it growing?” — $5

Inflow “Where do my future customers come from, how far do people travel to spend in this area?” — $12

Agentic Market Hunt “Find the 10 most underserved markets in Canada for my category: where residents spend heavily and increasingly, but travel far to do it because nothing local captures the demand.” — $50

Real Insight Examples

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What is your email?

Who are you?

Name

Role / Title

Company

What question (query) would you want answered first?

How often do you currently buy or access third-party data?

Select all that apply

How much do you currently pay for data annually?

Which regions are you interested in?

Select all that apply

What other data would you want pay-as-you-go?

Optional

Have any questions?

Book a meeting

How to join the beta

The beta package gives you 5,000 query credits ($500 value). The $75 deposit holds your seat, and the remaining $425 is charged 48 hours before launch (you can always opt-out). If you’re not satisfied at the end of the pilot, 50% of your unused credits are refunded. We’re targeting the start of the beta for late July, the 15th of August at the latest.

No expensive yearly lock-up. Pay as you go. If you go over your credits during the beta, you can always add more.

Consumer Intelligence Beta

What you get

$500 worth of queries (5,000 credits)
Access to billions of transactions across the country
Query consumer insights per week, per FSA (neighborhood by postal codes), across available geographies
On every query you get the source data
Export data as CSV, graphs, and diagrams
Map navigation
Excel integration for easy data import into your models
Connection through MCP server Claude Gemini ChatGPT Perplexity

Examples of Insights Available ›

Who spends in this area, in real dollars, by category (net amount, transactions, cards)
Where those customers live (origin FSA)
Demographic and income profile of the catchment (population, age mix, income)
Which categories are rising or falling, week over week and YoY
Real-dollar spend captured in the area vs. leakage to other regions
Distance customers travel for a category, a signal of unmet local demand

Data coverage ›

Spending Trends Fields	Week, Year, Category (industry & group), Region, Indexed volume, Year-over-year growth, Average transaction size and its growth
Location Data Fields	Month, Origin FSA, Destination, Category, Transaction count, Unique card count, Net dollar amount, Distance travelled, Population, Age bands, Average and total annual income
Categories	350+ categories of transactions. Examples: • Groceries & Food: Dairy stores, Bakeries, Candy stores • Restaurant: Fast food, Sit-down, Bars, Specialty food stores • Clothing: Family clothing, Women, Sports • Entertainment: Movie theatres, Live entertainment, Bowling alleys
Geographies	GTA and Greater Montreal for the beta, expanding to the rest of Canada after. Specific regions on request.
Period	Mid 2023 to mid 2026
Granularity	Per week, per FSA

Conditions & process

Limited seats available
We’ll send you an email 48 hours before with your access instructions
Beta should run for 4 to 6 weeks

Pricing

Minimum Entry Price	5,000 credits for $500 CAD
Query Pricing	Starting at 50 credits ($5) up to 500 credits ($50) per query. Query pricing increases with the volume of data requested and its complexity.
Enterprise	Custom credit volume and pricing. Contact us at for details.

Download offer details

Starting with consumer spend.

The vision is to be a data brokerage and make it accessible for everyone to get answers to really impactful questions requiring expensive datasets. If this pilot works, we will add more datasets.

If you have any questions, want to share ideas, or want to collaborate:

david.latortue@marasa.ai

— David Latortue