CARTO · Industry benchmark
How CARTO moved beyond selling GIS software into commercial motions around specific business problems, verticals, data ecosystems, and cloud infrastructure. Reference case only — not Locatix client work.
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Situation
CARTO grew from CartoDB — a developer- and visualization-oriented product — through two positioning shifts:
The commercial opportunity was larger than helping technical users make maps.
After
The current GTM model is vertical and use-case specific — same underlying technology, different entry points:
Three pillars
Map the Market
Break a horizontal geospatial platform into specific industries, use cases, pains, and buyer contexts.
Build the Authority
Produce customer proof, education, data, webinars, and technical credibility so buyers understand the application before a sales conversation.
Activate the Accounts
Convert demand through direct enterprise sales while expanding distribution through cloud providers, integrators, resellers, and data partners.
Map the Market
Retail
Site selection, customer analytics, trade areas, competitor locations, store performance, and supply chain — including external streams such as foot traffic, transactions, and weather.
Financial services
Market analysis, expansion, branch consolidation, risk, and spatial analysis across fragmented data infrastructure.
Telecom & utilities
Network demand, coverage, planning, and data monetization for telcos; grid intelligence, renewables, planning, and demand analysis for utilities.
Industries vs. use cases
“Insurance” is a market; “catastrophe modeling” is a use case. “Retail” is a market; “site selection” is a use case. Narrow campaigns without rebuilding the product — and proof that travels horizontally across buyer contexts.
Build the Authority
Problem-led education
Webinar library categorized by financial services and insurance, real estate, utilities and telecom, CPG and retail, transport and logistics, advertising, BI, analytics, data science, and development — catching buyers asking where to open next, how to model flood risk, or how to monetize mobility data.
Outcome-organized proof
Customer library with enterprise examples such as T-Mobile, ASDA, and JLL. Retail proof for retail sellers; telco proof for telcos; JLL-style proof for real-estate teams — reusable by partners.
Product as authority
Data Observatory / Data Catalog exposes an ecosystem of external datasets — site-selection materials cite more than 12,000 geospatial datasets — keeping CARTO in the buyer’s orbit before platform seats are purchased.
Activate the Accounts
Direct enterprise conversion
Industry and solution content leads toward product demonstration and enterprise sales conversation.
Partner routes
Resellers with local penetration, SI/GSI partners on cloud and AI transformation, and data partners using CARTO as a channel for their own products.
Cloud ecosystem
Integrates and markets alongside Google BigQuery, Snowflake, Databricks, Redshift, and Oracle — sitting on infrastructure the enterprise already owns, lowering friction and creating partner-led routes.
Data marketplace
Data Observatory as a channel for external providers to commercialize datasets — e.g. Vodafone turning anonymized mobile-event data into spatial products for government, tourism, retail, real estate, and mobility.
How it fits
The commercial sequence — and the key flywheel:
CARTO does not need a different product for every vertical. It needs a different commercial context around the platform.
Map industries and problems, build authority around them, then reach the organizations that have them — directly and through partners.
This is an industry reference case. Locatix did not deliver this engagement.
For a geospatial SaaS, data, or platform company, the first question should rarely be “How do we sell our technology?” Ask instead: which use case, for which market, triggered by what problem, supported by which proof, distributed through which route?
If those answers are unclear, that is a GTM Accelerator problem. If they are known and the constraint is account coverage and execution, that is an Enterprise Pipeline problem.
Unclear motion → GTM Accelerator. Proven motion, need coverage → Enterprise Pipeline.
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