> Source: https://www.k-stra.com/docs/import-your-data/
> Updated: 2026-11-03

User guides · Import your data

# How do I import my own data into K-Stra?

Your stores, customers and areas become layers you can map, colour and use in analyses. The import is a four-step window, and the cost is shown before anything is written.

In short

Open “My Data” and click “Import data”. Drop a CSV or Excel file, paste a table, copy administrative areas or load KML or GeoJSON shapes, then match the columns, choose the options and confirm the cost. Import costs 1 credit per 10,000 rows; files are up to 100 MB and an account is needed.

[Open the app](https://www.k-stra.com/a/?src=docs-import-your-data)

-   [Getting started](https://www.k-stra.com/docs/getting-started/)
-   [Run an analysis](https://www.k-stra.com/docs/run-an-analysis/)
-   [Traffic & Footfall](https://www.k-stra.com/docs/traffic-and-footfall/)
-   Import your data
-   [Geocode and fix addresses](https://www.k-stra.com/docs/geocode-and-fix-addresses/)
-   [Build a report](https://www.k-stra.com/docs/build-a-report/)
-   [Share and invite](https://www.k-stra.com/docs/share-and-invite/)
-   [Credits and billing](https://www.k-stra.com/docs/credits-and-billing/)
-   [Limits and quotas](https://www.k-stra.com/docs/limits-and-quotas/)
-   [Account and privacy](https://www.k-stra.com/docs/account-and-privacy/)

Step by step

## What are the steps of an import?

*[Image: The K-Stra “Import data into My drive” window at the Source step, with the File, Paste, Administrative areas and KML / GeoJSON tabs, the drop zone for CSV or Excel files and the line on import cost.]*

In the app

Import data · SourceFour steps: Source, Columns, Options, Cost. Nothing is written until you confirm at step 4.

The window is “Import data into My drive”. For files and pasted tables the steps are “Source”, “Columns”, “Options” and “Cost”.

1.  ### Choose the source

    In “Source”, drop a CSV, TXT or Excel .xlsx file, paste a table, copy “Administrative areas” or load a KML, KMZ or GeoJSON file.

2.  ### Match the columns

    In “Columns”, tell K-Stra which column is Address, City, Postcode, Latitude or Longitude. Blue marks a match found from the column name; green, a match you confirmed.

3.  ### Pick the options

    In “Options”, choose whether to geocode the addresses, place the points on the road network, keep the dataset private and keep it only for this session.

4.  ### Confirm the cost

    In “Cost”, check the “Estimated cost” and click “Confirm & import”. You can “Run in background” or “Stop import” while it runs.


Files

## Which files can I import, and how large?

Tables: CSV or TXT with any separator, Excel .xlsx or .xlsm, or text pasted from a spreadsheet; old .xls files must be saved as .xlsx or CSV first. Shapes: KML, KMZ or GeoJSON in WGS84, up to 100,000 shapes per file.

Each file can be up to 100 MB and 500 columns. Each user can import 20 files or 500 MB a day, whichever comes first, and My Data shows the count for today.

Options

## What do the import options do?

“Geocode addresses after import” is on by default and turns addresses into points, at 1.5 credits per 1,000 addresses. “Place on the road network” is free and is needed before a dataset can be used in catchments and coverage.

“Keep it private (only you)” hides the dataset from your team. “Temporary data — delete when my session ends” deletes it at the end of the session or 24 hours after the import, whichever comes first.

Costs

## How much does importing and storing data cost?

The import costs 1 credit per 10,000 rows, at least 1 credit; a file that cannot be read costs nothing, and a stopped or failed import pays only for the rows already written. Retry does not charge again.

Storage is free up to 50 MB per organisation, then 2 credits per 100 MB a month, charged on the 1st of each month. If storage goes unpaid, datasets are suspended, and deleted after 90 days with a warning a week before.

Kinds of dataset

## What kinds of dataset can I keep in My Data?

Each dataset holds one kind of shape: points, lines or areas, and the list has a tab for each. Points can be geocoded, extended with “Add data…” and placed on the road network.

Loyalty sales go through their own import, with store code, month, amount, operations and postcode. Amounts add up month by month, so importing the same file twice doubles the figures.

FAQ

## What else do people ask about importing your data?

### Should I upload customer names or addresses of private people?

No. Datasets must not contain personal or sensitive data and must be anonymised before upload, as the terms  require. Most analyses need nothing finer: Customer Loyalty works from store codes, months, amounts and postcodes, and market analyses from the areas you choose. Analyses that place your own points on the map, such as network coverage or sales territories, need an address or coordinates for each store, client or prospect; for private customers use postcodes.

### Is there a row limit?

The limits are on the file: 100 MB and 500 columns, and 100,000 shapes for KML and GeoJSON. Larger tables can be split into several files.

### Can I import without an account?

No. Importing needs a free account, which starts with welcome credits.

### Who sees the datasets I import?

Your team, by default. You can make a dataset private or share it with specific people from its “Sharing…” menu, for free.

Related pages

-   [All user guides](https://www.k-stra.com/docs/)
-   [Geocode and fix addresses](https://www.k-stra.com/docs/geocode-and-fix-addresses/)
-   [My Data in K-Stra](https://www.k-stra.com/product/my-data/)
-   [Customer mapping](https://www.k-stra.com/solutions/customer-mapping/)
-   [Limits and quotas](https://www.k-stra.com/docs/limits-and-quotas/)

Try it

## Open K-Stra and try it yourself.

The map, address search and area dashboards work without an account; a free account adds credits for your first analyses.

[Open the app — free to explore](https://www.k-stra.com/a/?src=docs-import-your-data)

Browsing areas and their dashboards is free; you pay only for the analyses you run
