Standard Excel sources
There is no need to rebuild the workflow from scratch: GeoMatcher works with the spreadsheets your team already uses.
Built for tasks where address quality and precision matter
The interface is built around a short working cycle: upload, validate, match, and hand the result over to marketing or operations.
There is no need to rebuild the workflow from scratch: GeoMatcher works with the spreadsheets your team already uses.
The system shows what is ready to run and what still needs attention — without a black box.
The result looks like a working deliverable: nearest locations, a summary and a log, not just raw intermediate data.
Configure a profile once and then reproduce the same logic across new campaigns and datasets.
Address datasets are almost never clean: different formats, inconsistent headers, extra words and duplicates.
Combining two tables, checking addresses and looking for matches within a radius takes time and is easy to get wrong.
The same address may appear in different forms. On top of that, there are inconsistent column headers and extra spaces.
If you need to repeat the task regularly, you need profiles, validation and reproducible settings.
A clear workflow from source files to the final result.
Select Excel files, sheets and working names so the reports and logs remain easy to read.
Specify which columns contain the address, city/region if needed, identifiers and other fields required for analysis.
GeoMatcher validates the setup, highlights mismatches and shows readiness to run.
Radius-based matching, the best 1-to-1 candidate and a master report for the next steps.
Where GeoMatcher saves time and improves decision quality.
Find distribution partners around the client’s stores and offices without manual address review.
Result: a list of the nearest partners for every location.
Identify where audience overlap and physical presence create the strongest case for an offline campaign.
Result: priority zones and addresses for coverage.
Check addresses, find duplicates and uncover mismatches between sources before the campaign starts.
Result: diagnostics and data normalization.
The essentials, briefly.
Excel files (.xlsx). Any worksheet can be used. Column headers can be normalized, for example by removing extra spaces.
In the workflow settings. You can use a fixed value and rerun the process with a saved profile.
Yes. Profiles and templates let you reproduce the same workflow without manual setup every time.
Yes — a master report, plus logs and summaries, depending on the reporting mode you choose.
Send us an email — we will reply about a demo, commercial terms and the best option for your use case.
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