Marketers using ActiveCampaign can now build and launch Google Ads Performance Max campaigns without opening a separate Google Ads account interface, following a connector the company added to its Active Intelligence engine today. The feature lets a user describe a goal in conversational language and have the system propose a plan, generate creative assets, and set the campaign live inside ActiveCampaign's own workspace.

The Chicago-based company, which describes itself as an autonomous marketing platform, framed the release around a gap between AI adoption and AI usage. According to ActiveCampaign, 82% of marketers report using artificial intelligence somewhere in their marketing work, yet only 23% apply it across the full lifecycle that runs from planning through execution to optimization. That distinction, drawn from the company's own published research, sits at the center of how ActiveCampaign is positioning the new connector: not as another AI feature bolted onto a dashboard, but as an attempt to close the space between AI adoption and AI usage that spans a full campaign.

What the connector does

The mechanism itself follows a pattern that has become familiar across marketing technology over the past year, even if the packaging is new. A marketer opens the Active Intelligence workspace, selects Google Ads from the Tools menu, and describes what they want the campaign to achieve. If someone has never run a Google Ads account before, Active Intelligence walks through the setup process step by step, from account creation to goal selection to proposed ad copy. If a marketer already has a defined goal and budget, they can supply those directly and let the system draft a plan from there.

Chai Atreya, Chief Product and Technology Officer at ActiveCampaign, described the underlying rationale for the release. "For a lot of marketers and business owners, managing digital ad campaigns has meant juggling multiple platforms and spending more time on execution than on strategy," Atreya said. "With Active Intelligence, we're changing that. We're getting customers to the last mile of execution faster, so they can focus their energy on the strategy and the message, the parts that require their creativity and expertise."

That phrase, the "last mile" of marketing, recurs throughout ActiveCampaign's own description of the release, and it is worth unpacking because it frames a specific division of labor. Under this model, the marketer supplies the strategic inputs, meaning the goal, the budget, the brand voice, and the creative direction, while the AI system handles the mechanical work of building the campaign structure, selecting targeting parameters, and assembling the assets that Google's ad systems require. ActiveCampaign says the marketer retains control throughout, reviewing proposals before anything goes live rather than handing off approval authority to the system entirely.

Campaign creation mechanics

Performance Max itself is not new. Google made the campaign type generally available in November 2021, and it functions as a single campaign structure that draws on machine learning to place ads across Google's full advertising inventory, including Search, YouTube, Gmail, Maps, Display, and Discover. Rather than requiring advertisers to build and manage separate campaigns for each channel, Performance Max dynamically allocates budget toward whichever channels the system determines will perform best against a given goal.

What ActiveCampaign's connector adds is a different point of entry into that same campaign type. Instead of building a Performance Max campaign inside Google's own interface, a customer can now do so entirely within ActiveCampaign, using assets already stored in the platform's Content Manager or drawing on Google's generative asset builder, which remains in beta, to produce new images for the campaign. The connector reaches the same inventory Performance Max has always reached; what changes is the workspace a marketer uses to reach it.

For ActiveCampaign customers whose contact data, automation workflows, and customer records already live inside the platform, this removes a data transfer step that has historically required manual export and import work, or a separate integration layer, before a Google Ads campaign could draw on that information for audience targeting.

The stated adoption gap

The 82 percent and 23 percent figures central to ActiveCampaign's framing come from the company's own published research on AI marketing statistics, which breaks marketing AI use into three categories it calls imagination, meaning ideation and strategy, activation, meaning execution and creation, and validation, meaning measurement and optimization. According to that research, while a large majority of marketers report using AI somewhere in their workflow, fewer than a quarter apply it consistently across all three of those stages.

This kind of adoption-versus-integration gap has appeared repeatedly across independent industry surveys over the past year, even where the specific numbers differ. A November 2025 survey of 3,169 marketers across 16 countries, conducted by programmatic media partner MiQ, found that while 72% of marketers plan to expand their AI use over the next year, only 45% feel confident in their ability to apply it successfully. A separate Brandwatch report published in March 2026, surveying 1,028 marketing professionals, found that 79% of respondents say they now spend more time managing AI and automation than they did in previous years, even as most still describe fundamental gaps in how well they understand their own audiences. Whatever the precise figures, the pattern across these studies points toward the same underlying tension: marketers are adopting AI tools quickly, but the tools themselves remain fragmented across separate platforms, requiring manual handoffs between planning, execution, and analysis rather than operating as a single connected workflow.

ActiveCampaign's pitch is that bringing campaign creation directly into the platform where customer data, automation, and reporting already live removes one of those handoff points. Whether that claim holds up in practice depends on factors the announcement itself does not address, including how accurately the conversational interface translates a marketer's stated goal into an effective campaign structure, and how much oversight a marketer actually exercises before a Performance Max campaign goes live.

Part of a wider connector strategy

Today's release is not ActiveCampaign's first connector for Active Intelligence, and the company frames it explicitly as one addition to a growing ecosystem. According to ActiveCampaign, customers can already connect Wix, Calendly, and Stripe to the platform, with additional connectors described as coming soon. The company says more integrations are planned, positioning Active Intelligence as a central hub through which a marketer's various tools, rather than requiring separate logins and separate interfaces, can be reached from a single conversational workspace.

That strategy places ActiveCampaign within a broader industry movement that has accelerated sharply since late 2024. HubSpot launched the first CRM connector for Anthropic's Claude in July 2025, allowing customers to query customer relationship management data directly inside Claude using natural language. Since then, the pace of similar announcements across marketing technology has not slowed. Google released an open-source connector for its own Ads API in October 2025. Amazon Ads moved from a closed beta to a wider rollout of its own AI agent in the months that followed. Meta opened its advertising infrastructure to Claude and ChatGPT through a dedicated set of connectors in April 2026, giving external AI systems write access to live campaign creation for the first time. Microsoft expanded its own advertising connector to a wider pilot in June 2026.

Each of these releases follows a broadly similar architecture, even where the underlying protocol or implementation differs. A platform that previously required a dedicated login and a dedicated interface publishes a way for an AI assistant, whether that assistant lives inside the platform itself, as with ActiveCampaign's Active Intelligence, or inside an external tool like Claude or ChatGPT, to query that platform's data and, increasingly, to take action on it directly. ActiveCampaign's Google Ads connector sits closer to the first category: the AI assistant is native to ActiveCampaign's own platform, and the action it takes, namely creating and managing a Performance Max campaign, reaches outward into Google's advertising system rather than the reverse.

Where this fits against competing approaches

The distinction matters for anyone comparing ActiveCampaign's release against the other conversational campaign tools that have emerged over the past two years. Amazon's Ads Agent, introduced in November 2025 at the company's unBoxed conference, processes natural language instructions to build campaign structures and recommend audience segments across Amazon's own DSP and Marketing Cloud products, but it operates as a feature inside Amazon's advertising console rather than inside a third-party marketing platform. Google itself has offered a conversational campaign creation experience for Search campaigns since introducing Gemini-powered tools for US and UK advertisers, later expanding language support to German, French, and Spanish. According to Google's own reporting on that feature, small business advertisers using the conversational experience were 63% more likely to publish Search campaigns rated Good or Excellent for Ad Strength, though that figure describes Google's native tool rather than any third-party connector into it.

Google's own recent product update at Marketing Live 2026 listed ActiveCampaign among a set of platforms, alongside Mailchimp, Klaviyo, and Google Drive, that connect directly to Google's Data Manager tool, which allows advertisers to bring first-party conversion and audience data into Google's advertising systems. That prior integration operated in the other direction from today's announcement: it let Google pull data out of ActiveCampaign for use in Google Ads targeting and measurement, rather than letting ActiveCampaign build Google Ads campaigns from within its own interface. Today's connector effectively closes that loop, giving ActiveCampaign customers a path to both send data toward Google's advertising systems and receive a functioning campaign back, without needing to leave the platform for either step.

Performance Max itself has scaled substantially since its 2021 launch. Google reported more than one million active advertisers using the campaign type by the end of 2025, following a year in which the company introduced more than 90 quality improvements to the format. That scale is part of why third-party access points into Performance Max, such as the one ActiveCampaign introduced today, carry commercial weight beyond the individual integration itself: any platform that can offer a functioning path into a campaign type used by over a million advertisers gains a meaningful reason for its own customers to build campaigns without leaving its ecosystem.

Availability and access

ActiveCampaign says the Google Ads connector for Active Intelligence is available now to customers on Plus plans and above. Access requires navigating to the Active Intelligence Workspace inside ActiveCampaign and selecting Google Ads from the Tools menu. The company did not specify a rollout timeline for additional plan tiers or geographic restrictions in the materials it published alongside the launch.

The release also references Google's generative AI asset builder, described as being in beta, as one option for producing new campaign images, alongside the choice to draw on assets a customer has already stored in ActiveCampaign's Content Manager. Neither the release nor the accompanying materials specify usage limits, cost structures tied to generative asset creation, or how the beta status of Google's asset builder might affect availability for ActiveCampaign customers relying on that specific feature.

What remains unaddressed

Several operational questions sit outside the scope of what ActiveCampaign published alongside today's launch. The announcement does not detail how disputes over ad performance, billing, or policy compliance would be handled when a campaign is created through a third-party interface but ultimately runs on Google's own advertising infrastructure and billing system. It also does not specify what level of review a marketer is expected to complete before a Performance Max campaign generated through conversational prompts goes live, beyond the general statement that customers remain in control throughout the process.

These are not unusual gaps for a product announcement of this kind; comparable launches from other platforms, including Meta's and Amazon's respective AI campaign tools, have similarly left implementation and governance details to follow-up documentation rather than the initial release. What distinguishes ActiveCampaign's position is the scale of the platform it is now writing directly into. A connector error or a misconfigured campaign proposal inside a tool used primarily by small and mid-sized businesses carries different stakes than the same error occurring inside an enterprise advertiser's dedicated Google Ads management team, precisely because smaller businesses are less likely to have a dedicated specialist reviewing every campaign before launch.

Timeline

  • November 2021: Google makes Performance Max generally available to all advertisers.
  • July 29, 2025: HubSpot launches the first CRM connector for Anthropic's Claude, part of the same wider industry pattern of AI-assistant connectors that ActiveCampaign's release now joins.
  • November 11, 2025: Amazon introduces its own Ads Agent at the unBoxed conference, offering conversational campaign creation inside Amazon's advertising console.
  • April 29, 2026: Meta opens its advertising infrastructure to Claude and ChatGPT through dedicated connectors, giving external AI systems write access to live campaign creation.
  • May 21, 2026: Google details, among 42 lead-generation launches tied to Marketing Live 2026, that ActiveCampaign is one of the platforms connecting directly to Google's Data Manager tool.
  • July 8, 2026: ActiveCampaign launches its Google Ads connector for Active Intelligence, enabling conversational Performance Max campaign creation from within its own workspace.

Summary

Who: ActiveCampaign, a Chicago-based marketing automation platform, through Chai Atreya, its Chief Product and Technology Officer.

What: A new Google Ads connector for Active Intelligence, ActiveCampaign's AI engine, that lets marketers build, launch, and manage Google Ads Performance Max campaigns using conversational prompts without leaving the ActiveCampaign platform.

When: ActiveCampaign announced the launch today, July 8, 2026.

Where: The connector operates within the Active Intelligence Workspace inside ActiveCampaign, reaching Google's advertising inventory across Search, YouTube, Gmail, Maps, Display, and Discover.

Why: ActiveCampaign frames the release around a gap in its own research showing that while 82% of marketers use AI somewhere in their work, only 23% apply it across the full marketing lifecycle from planning through optimization. The connector is positioned as an attempt to close that gap by bringing campaign creation directly into a workspace that already holds a customer's contact data and automation history, joining Wix, Calendly, and Stripe as part of a wider connector ecosystem the company plans to keep expanding.