Coupler.io new features roadmap

Basis (DSP) data source

Ability to Pause Updates in Data Sources

Sometimes I need to move back and forth between different configuration tabs when I am setting up a data source. Every time I come back into the Data Sets tab it seems like the result cache has expired and new results need to be pulled in (even if I have not changed the configuration of the Data Source). I would love the ability to pause updates here so I don’t have to wait for results to cache. Especially during a Data Flow’s initial setup I waste a lot of time waiting for these results to come back when I don’t need them, maybe I am changing how I have stitched together various data sources into a larger joined data source, I don’t need to see most recent data while doing this.

Sprout Social Data Source

Add support to fetch data from Sprout Social

Attentive Data Source

Option for private dataflows

Similar to Private vs Shared connections, it would be nice to have Private vs Shared Dataflows. While ‘Guest’ vs ‘User’ permissions somewhat gets us there, the 'Guest’ permission is too restrictive for internal users within a department.

Implement Chunking when writing to Google Sheets

Consider implementing chunking when writing to google sheets so that large datasets don’t cause errors. Currently large datasets result in an ‘internal error’ that could be mitigated if chunking is used.

Regional data residency

Choose the region where your Coupler.io data is stored and processed. Meet internal security requirements and support compliance with local data regulations.

Multi-factor authentication (MFA)

Add an extra layer of security to your Coupler.io account with multi-factor authentication. Protect access to sensitive data and reduce the risk of unauthorized logins.

Shopware data source

Global Shop Solutions Cloud

Support Global Shop Solutions, more specifically: Customers, Sales, Orders, Inventory, AR, Financials, Vendors, Purchases.

AI Dashboards

Create or update Coupler.io dashboards using natural language

Data storage location (US vs EU)

Allow customers to select storage for their organization data.

Skills Library

A library of pre-built and custom AI skills across different AI platforms — search, create, and use the same skills no matter where you work without tedious installation for every platform. Create your custom skills to compliment our library

Azure SQL database destination

Add Azure SQL as a Coupler.io data destination.

Multi-Destination Workflows

One of the heavily requested features. Send data from one data flow to multiple destinations. You can send the same data or different data sets to different destinations. We're finalizing the execution pipeline and UI so everything runs reliably end to end

ChatGPT Ads Data Source

Add support to ChatGPT Ads Data Source (OpenAI Ads)

Historical data collection

Automatically collect and store historical source data over time, even for platforms that do not provide deep historical access. Build long-term datasets for reporting, trend analysis, and performance comparisons.

Amazon Selling Partner

Connect your Amazon Seller Central data to pull orders, inventory, financial, and advertising reports

Shopify Refund Line Items Details

Would be great to get items from the `refundLineItems` field in the `Refund` object of the GraphQL Admin API. I’m particularly interested in the `quantity` field.

Chat-Based Data Flow Setup: Destinations

Set up your data flows through a conversational AI interface — describe what you need, and the AI agent configures destinations for you

Campaign Monitor - Campaign Summary Endpoint

Support the capability to pull campaign performance from Campaign Monitor

TikTok Shops

Pull sales, orders, and product data from TikTok Shops — complete your TikTok analytics alongside organic and ads data

Add YouTube Engaged Views Metric

Please add YouTube’s Engaged views metric to the YouTube connector, including Custom reports and video-level reporting. YouTube changed its public view-count methodology in August 2026, while the previous view methodology is now available in YouTube Analytics as Engaged views. This makes Engaged views particularly important for comparing historical video performance, sponsorship pricing, and creator analytics. Ideally, the metric should be available with dimensions such as: Date Video ID Video title Video publish date My use case is calculating 7-day, 30-day and 90-day Engaged views by video for sponsorship forecasting and performance analysis. Thank you!

Show who created the dataflow

So I can ask the right team member about it