Supermetrics' June 2026 product updates add a ChatGPT Ads connector, three dashboard widget types, HubSpot Content Analytics, the Adthena search-intelligence connector, and Custom Fields and Data Blending in the Public API. Read on to see what’s new.

Key takeaways

  • Supermetrics' new ChatGPT Ads connector (Early Access) reports across 34 dimensions and 6 metrics at hourly granularity, structured for direct comparison with Google Ads and Meta.
  • You can create and manage ChatGPT Ads campaigns inside Claude, ChatGPT, Gemini, or Copilot through Supermetrics MCP and AI Chat destinations.
  • Supermetrics Dashboards adds three widget types: a Markdown text widget, a pie chart, and a stacked area chart.
  • HubSpot Content Analytics (Early Access) adds website and content report types to the HubSpot connector family.
  • Adthena, Supermetrics' first connector in the AEO and GEO category, tracks AI Overview appearances and ChatGPT and Perplexity citations.
  • Custom Fields and Data Blending are now available through the Supermetrics Public API, covering Union and Join blends.
  • From 1 June 2026, Google Ads and GA4 historical data is capped at 37 months for granular date breakdowns.

ChatGPT Ads connector and campaign management

ChatGPT has over 900 million weekly active users, and now ads appear inside ChatGPT's conversational responses rather than on a search results page or feed, so the sessions are query-led and high-intent - which makes ChatGPT Ads a placement in front of high-intent, conversational sessions. That’s why we’ve launched the ChatGPT Ads connector, available in Early Access (Beta). Supermetrics is a marketing data platform that pulls data from your marketing data and sources it into reporting, analytics and AI tools. With Supermetrics, you can now measure it with the same consistency you apply to every other channel, and go beyond the reporting currently possible in the OpenAI platform itself.

Reporting

Connect ChatGPT Ads to Google Sheets, Looker Studio (formerly Google Data Studio), Power BI, BigQuery, or any other destination and pull data across Ad Account, Campaigns, Ad Groups, and Ads at hourly granularity. Supermetrics reports ChatGPT Ads across 34 dimensions and 6 metrics at hourly granularity, structured for side-by-side comparison with Google Ads and Meta. , structured for direct comparison against Google Ads, Meta, and more from day one — no reformatting required.

Spend, CTR, CPC, CPM, and budget pacing are all available, so you can benchmark a new channel against established ones without building bespoke pipelines.

Campaign management via AI chat

In addition to reporting and analysis, Supermetrics MCP (Model Context Protocol) destinations allow you to create and manage ChatGPT Ads campaigns directly inside Claude, ChatGPT, Gemini, or Copilot. Ask your assistant what's performing on your existing channels, then launch a new campaign in the same conversation. All AI Chat destinations are supported today.

ChatGPT Ads is available for free in early access for all Supermetrics users. Connect via Supermetrics Hub or directly through your preferred destination.

What new dashboard widget types did Supermetrics add? Text widget, pie chart, and stacked area chart

Three new widget types now live in Supermetrics Dashboards:

  • Text widget - lets you add free-form content anywhere on your dashboard - useful for summaries, methodology notes, or any context that doesn't fit neatly into a chart. It supports Markdown, with an inline styling toolbar if you'd rather not write it by hand.
  • Pie chart - handles share-of-total breakdowns: channel mix, budget allocation, audience splits. It works with any metric and dimension combination already in use across your other widgets.
  • Stacked area chart - takes a time dimension, a metric, and a breakdown dimension and shows how each segment (campaign, channel, region) contributes to the overall trend over time. Good for spotting which segments are driving growth and which are being carried.

To add any of these, open a dashboard in Supermetrics Hub, click + Add Widget, and pick from the widget picker.

What are HubSpot Content Analytics? Now in Early Access (Beta)

HubSpot Content Analytics (HSCA) is now available in Early Access. It adds website and content performance data to the existing HubSpot connector family, so you can combine web traffic data with the CRM, email, and form data you're already pulling.

Twelve report types are supported, including: Sources, Landing Pages, Standard Pages, Blog Posts, Listing Pages, Countries, Device Types, and full UTM attribution breakdowns: campaign, source, medium, content and term.

Practically: you can track which blog posts are driving organic sessions, see how UTM campaigns convert to contact submissions, monitor traffic source mix over time, or compare landing page conversion rates across A/B variants at daily granularity.

HSCA is available across Google Sheets, Excel, Looker Studio (formerly Google Data Studio) ), Power BI, Data Explorer, and all AI Chat and Data Warehouse/API destinations. Connect in Supermetrics Hub.

Custom Fields and Data Blending API endpoints

Custom Fields and Data Blending are now available via the Supermetrics Public API.

You can now create, fetch, update, and sync custom fields programmatically, and save, validate, and manage data blends via API — covering both Union and Join blend types.

If you manage Supermetrics at any scale, this means custom field configuration and data blending logic can live in your own pipelines rather than requiring manual work in the Hub UI. Full reference is in the API docs.

Introducing our first AEO/GEO Connector from Adthena - Early Access (Beta)

Adthena is now available in Early Access, and it's our first connector in the AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) category. Built through our partnership with Adthena, it brings search intelligence data into your reporting stack as AI Overviews and assistant answers start to replace the classic results page for some queries.

Adthena covers three main areas.

  • AI Overviews: track how often they appear by search term, split by Desktop and Mobile, and rank terms by estimated impressions.
  • LLM citations: monitor ChatGPT and Perplexity citation frequency, average position, and performance score against competitors.
  • Competitive search intelligence: track competitor share of clicks, spend, and impressions across Text Ads, Organic, and Shopping over time.

Available across Google Sheets, Excel, Power BI, Data Explorer, all AI Chat destinations, and Data Warehouse andAPI. Connect in Supermetrics Hub.

What’s new in Supermetrics Shopify Connector?: 19 new fields

The Shopify connector now includes 19 additional fields across orders, refunds, and customer journeys.

Orders: Line item name, line item title, payment gateway names, order processed date, order processed datetime, discount type

Refunds: Refund note, refund ID, refund processed date, refund processed datetime

Customer journeys: Order index, first visit landing page, first visit referrer URL, first visit source, first visit UTM campaign, first visit UTM content, first visit UTM medium, first visit UTM source, first visit UTM term

These are available now in Google Sheets, Data Studio (formerly Looker Studio), Excel, and AI Chat destinations, with Data Warehouse (DWH) and API support coming later this quarter.

What are the new 37-month limits for Google Ads and GA4?

Google is rolling out data retention changes that cap historical data access to 37 months for certain query types in both Google Ads and Google Analytics 4 (GA4).

For Google Ads, this affects requests using granular date breakdowns: Date, Hour, Day of week, Week, and Year & Week. If a query exceeds 37 months with one of these breakdowns, the connector will return a clear error message. The maximum historical date setting for DWH has also been updated to 37 months to keep backfills within range.automatically.

Fo GA4, the limit applies to Google Ads-sourced advertiser metrics when used with certain date dimensions. Other GA4 metrics are not affected.

Full details, including the complete list of affected fields and workarounds, are in the Good to know about Google Ads and Good to know about Google Analytics 4 documentation.


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