Google and Meta already know a great deal about what people search for, watch, click, and engage with. Their advertising systems can process those signals at a speed and scale no marketing team could reproduce.
The issue is what happens outside each platform.
Google’s audience intelligence helps Google decide when to serve a Search Ad, YouTube video, or Performance Max placement. Meta uses its signals to deliver campaigns across Facebook and Instagram. Advertisers can guide those systems and review aggregate results, but a Google in-market audience cannot simply be transferred into Meta, HubSpot, or a direct mail program.
Accessible third-party intent data gives the marketing team a separate audience file or feed it can review, filter, and use in several approved systems. That creates options the platform’s built-in audience does not provide.
Advertising Platforms Follow the Goal They Receive
Google and Meta become more efficient at producing the action selected by the advertiser. The quality of that action matters as much as the targeting.
A Google Search campaign using Maximize Clicks will pursue traffic. Change the goal to submitted lead forms, and the system begins looking for people likely to complete that form. Once qualified leads and signed contracts flow back from your CRM, the bidding model has information tied more closely to revenue.
Many companies never send that final information back.
Imagine a campaign that generates 100 clicks and 10 quote requests. Six contacts never answer the phone. Two need a service the company does not offer, and another cannot afford the project. The tenth request turns into a $25,000 contract.
The advertising dashboard can still report 10 conversions unless the CRM sends the later outcomes back. Google recommends importing qualified and converted lead information for exactly this reason.
Before changing the audience, I would first confirm that the campaign is learning from a sales-qualified lead, completed estimate, signed agreement, or another event that reflects how the company makes money. Optimizing around a basic contact form may simply produce more basic contact forms.
Platform Audiences Offer Scale With Limited Visibility
Google builds in-market audiences from people it estimates are researching or actively considering certain products and services. Meta combines engagement, behavioral, and conversion signals to predict who is likely to respond.
These audiences can perform extremely well when an account has dependable conversion history. A regional retailer with hundreds of online purchases each month may benefit from broad Meta Advantage+ delivery because the system has enough recent sales data to recognize useful patterns.
A specialized manufacturer trying to reach plant managers researching a narrow piece of equipment faces a different situation. The sales cycle may last several months, annual conversions may be limited, and a generic “industrial products” audience provides little insight into who is actually evaluating that equipment.
Automation also gives the platforms room to move beyond an advertiser’s original selections. Google explains that Performance Max audience signals are guidance rather than fixed targeting restrictions. Delivery can expand when its system predicts that another person may complete the campaign goal.
Use platform-led targeting when the offer has broad appeal, conversion volume is strong, and the CRM is already returning reliable sales outcomes. A narrow market with weak lead quality or limited conversion history gives the team a stronger reason to test an external audience source.
Accessible Intent Data Gives the Team Something It Can Inspect
Third-party intent data attempts to identify people or companies researching selected topics across a wider collection of sources. The available records may then be filtered by recency, geography, job role, company size, or other criteria connected to the sales process.
Consider a cybersecurity firm preparing a campaign around compliance assessments. Its audience could include companies researching cyber insurance renewal requirements, SOC 2 preparation, ransomware response planning, Microsoft 365 security, or penetration testing.
Those topics need to be reviewed carefully though. A person reading about Microsoft 365 may have no interest in hiring a security company, while repeated research around a cyber insurance renewal checklist may connect more closely to an active business requirement.
The marketing and sales teams can review the proposed topics before the campaign launches. Sales may recognize that “penetration testing” consistently produces good conversations, while “general IT support” attracts companies looking for lower-cost help desk services. That feedback can remove a weak category before budget is spent.
I would require a short explanation beside every topic in the audience plan: what business problem does this research suggest, and which service addresses it? Any topic without a clear answer comes out of the initial test.
Portable Audiences Make Multi-Touch Campaigns Easier to Coordinate
An accessible audience can support several systems, provided the records and intended uses meet privacy and platform requirements.
The cybersecurity campaign could begin with a 30-second Meta video explaining three common problems found during cyber insurance renewals. Someone who later searches for “cyber insurance security assessment” may see a Google Search Ad leading to a dedicated service page. The company could also publish a three-page PDF checklist covering the documentation insurers commonly request.
Inside your customer database, matched contacts who engage with the checklist might enter a short educational workflow. An existing account showing relevant activity could receive a review task in Salesforce rather than an automatic sales pitch. For a carefully qualified local audience, the company might also test a 6-by-9-inch postcard promoting an assessment before the renewal period.
Not every person will match across every platform, and each channel has its own eligibility rules. The planning benefit comes from using one audience definition and assigning a specific purpose to each touch. Before launch, the campaign plan should show the audience, message, destination, and next action for every channel involved.
What We Have Seen in Client Campaigns
We have seen client campaigns improve after introducing more focused audience signals.
In a recent case one of our clients in the home service industry had their conversion volume increased by 30%, after we built out intent-focused audiences based on our research with the client. We had another client in distribution and manufacturing implement a plan we developed, which ended up maintaining similar conversion rates to what they had been generating, but they saw a big decrease in Google Ad spending due to the focused nature of our campaign.
I am not providing these examples and outcomes as a benchmark for you, but more as a helpful understanding of how proper use of intent data can shift campaign performance.
Overall, I believe focused intent data is worth testing when poor lead quality is consuming sales time or the market is too specialized for a broad category. A high-volume ecommerce campaign with clean purchase data can often relay on the information that Google or Meta provide to operate campaigns without another audience layer, but we see that the introduction this data works best when your outcomes with the platform audiences become more unstable or you are seeing significant increases in a true conversion.
Test Intent Data Against the Sales Outcome
Be sure to only start with one service and a small collection of topics that closely reflect your audience in that space. You can then build the audience and maybe even apply customer-fit filters, like company size and other personal demographics, and compare it with the company’s current platform-led approach.
Your test should have a consistent workflow. For example, both audiences could receive the same Google Ads, visit the same compliance-assessment landing page, and use the same scheduling process. Changing the audience, offer, creative, and landing page at once makes the outcome difficult to interpret.
Review the qualified-lead rate, opportunity rate, customer acquisition cost, and revenue after enough sales activity has occurred. The sales team should also rate whether the conversations matched the service being advertised.
An intent audience that improves qualified opportunities can move into another approved channel, such as a Meta video campaign or even a CRM nurture workflow. More clicks without stronger sales results point to weak topic selection and should pause further expansion. When the platform-led audience produces better customers, keep it in place and use the test findings to improve the conversion data returned from the CRM.
I typically recommend choosing an active campaign where lead quality or cost is creating a measurable sales problem. Run the comparison there, using qualified opportunities as the deciding metric.
Hopefully all of this provides a good understanding of how third-party intent data can work, as well as, how you can get started. But feel free to reach out if you want a deeper look into this topic and how it could better be implemented in your business.
