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Sellforte Supported Data Delivery Methods

This article describes different ways to deliver data for Sellforte.

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Written by Oskari Raunio
Updated over a week ago

The main data types that Sellforte models ingest are:

  • Marketing activity data (e.g. campaign data from your Google Ads account or reports of your TV campaigns)

  • Business outcome data (e.g. sales data from your Shopify store, revenue report from your data warehouse)

  • Web analytics data (e.g. conversion data from your GA4 or Adobe Analytics account)

  • Promotion data (e.g. discount data from your Shopify order report)

  • Experiments data (e.g. geo experiments or holdout test reports)

Each data type has its own Sellforte data specification, which defines the required fields, structure, and granularity. Please find specifications here:

Data Sources Specifications for Sellforte Marketing Mix Modeling (MMM)

You can deliver this data via Sellforte connectors, by granting partner access, or via custom delivery methods. Let's walk these through next.


1. Connecting data through Sellforte built-in connectors

Best and easiest method for you is to deliver data through Sellforte connectors. You can deliver your data automatically by connecting data sources through Sellforte built-in connectors. Sellforte connectors operate via Fivetran, automated data movement platform.

Data is fetched automatically through connectors with pre-defined MMM schema without any setup work.

Find a list of the supported connectors and connection instructions here:

Sellforte's Data Connector view


2. Granting partner access to Ad platforms

Sellforte is a measurement partner of Meta and TikTok. In addition to connecting Meta and TikTok Ads through built-in connectors, it's important that you grant us partner access to the platforms.

This enables us to measure the effectiveness of your Meta and TikTok activity in the best possible way. You can grant us Read-Only partner access by following these instructions:


3. Delivering data via custom delivery methods

Sellforte offers wide selection of custom data delivery methods. All delivered data must follow the Sellforte data specification.


3.1 Sellforte fetches data from a data warehouse or cloud storage

Sellforte can programmatically fetch data directly from a customer-managed data warehouse.

The customer creates a view or project matching the Sellforte data specification, grants Sellforte read-only access, and Sellforte schedules automated data fetching and validation.

Supported Data Warehouses:

  • Microsoft Azure SQL

  • Google BigQuery

  • Snowflake

Supported Cloud Storage Services:

  • Microsoft Azure Blob Storage

  • Google Cloud Bucket

  • AWS S3

All delivered data must follow the Sellforte data specification.


3.2 Customer pushes data to Sellforte S3 destination

Customer can export data automatically and deliver it to Sellforte S3 destination, by using data connection platforms such as Supermetrics, Funnel or Fivetran, data warehousing tools or other data automation tools. Sellforte will create a S3 bucket where customer can deliver the data, and deliver required information.

All delivered data must follow the Sellforte data specification.

For using Supermetrics to deliver the data to Sellforte S3, follow these instructions:

Connecting your data with Supermetrics for S3


3.3 Automated Google Sheets integration

Customers can use tools such as Supermetrics, Funnel, Zapier, Make, or similar automation platforms to populate a Google Sheet automatically in the required format. Sellforte reads the Google Sheet on a scheduled basis and ingests the data as part of the modeling workflow.

All delivered data must follow the Sellforte data specification.

For using Supermetrics to deliver the data via Google Sheets, follow these instructions:

Connecting your data with Supermetrics for Google Sheets


3.4 Manual Google Sheet delivery

You can deliver data by filling Google Sheet data template provided by Sellforte. Sellforte reads the Google Sheet on a scheduled basis and ingests the data as part of the modeling workflow.

All delivered data must follow the Sellforte data specification.

You can find more detailed instructions here:

Note: This method requires manual data input and is supported only for monthly or quarterly update cycles.


3.5 Manual data delivery in Data Platform

You can upload data files manually to Sellforte Data Platform. Sellforte Data Platform reads the files and transforms them in order to use them with Marketing Mix Modelling.

All delivered data must follow the Sellforte data specification.

You can find more detailed instructions here:

Note: This method requires manual data input and is supported only for monthly or quarterly update cycles.

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