Journey Aware Bidding: What to Expect From Google Ads’ Latest Upgrade

It appears that lead gen ad managers are having their toolkits expanded in 2026 as Google continues to refine automation and bidding strategies for lead generation campaigns.

Google Ads’ latest innovation in Smart Bidding comes in the form of Journey Aware Bidding (JAB), which is designed to better reflect how users engage across longer and more complex conversion paths. 

The Lead Generation Challenges JAB Is Designed to Solve

Those who are experienced with running lead gen ad accounts are all too familiar with challenges such as lengthy sales cycles, inconsistent lead quality, and spam form submissions. These issues create a system in which no single “conversion” can stand alone as the sole signifier of an account’s success (even if conversion tracking is airtight), especially in industries where lead qualification happens well after the initial interaction.

Enter Journey Aware Bidding.

What Is Journey Aware Bidding?

As its name suggests, JAB is a strategy that gives advertisers an option to leverage data from multiple steps of a user’s journey from click to sale. Rather than optimizing bids based on one isolated action, Google Ads evaluates engagement patterns across the full journey. As a user completes certain steps post-ad click, the data from these actions is saved and utilized by Google for continuous campaign optimization. This allows bidding decisions to be informed by both early engagement and later stage qualification signals.

Key Engagement Signals Used in Journey Aware Bidding

Some of these key actions might include:

• Viewing a specific URL
• Phone calls
• Signing up for a newsletter
• Downloading a brochure
• Submitting a contact form
• Being qualified post-conversion within a CRM

Why Journey Aware Bidding May Feel Familiar

To any lead gen managers who may be thinking, “This concept sounds familiar” or, “Haven’t I already tried this?”, there is likely some truth to those thoughts. With its consideration of multiple conversion events as well as the nuances of every customer’s journey, it can be argued that JAB is a spiritual successor to value-based bidding.

Shared Foundations with Value-Based Bidding

After all, both strategies hinge upon several common conditions in order to be successful, including:

• Accurate conversion tracking of multiple actions within the customer journey, allowing Google Ads to analyze engagement patterns across stages;
• Advertiser knowledge of the value of each action within the context of the conversion cycle, even when those actions do not have direct revenue attached;
• Use of a specific campaign bid strategy in order to actually leverage those values, so bidding decisions can align with business goals;

Key Differences Between Journey Aware Bidding and Value-Based Bidding

There are, however, key differences to note:

• With value-based bidding, numerical values are assigned to conversion actions based on their importance (e.g. $50 for a phone call versus $200 for a contact form). These actions likely won’t have an inherent value and are arbitrarily defined by the advertiser, often based on internal assumptions rather than long-term performance trends. Compare this to JAB, which doesn’t rely on advertiser-defined values and instead analyzes how a number of smaller actions can be used to predict the likelihood of meeting a campaign- or account-level goal.
• Due to its quantitative nature, value-based bidding only really works when Google’s algorithm is primed to optimize results based on those values; that is, the campaign must be set to Max Conversion Value bidding (with or without a target ROAS). JAB, on the other hand, is intended for Search campaigns using tCPA, making it a more practical option for lead generation campaigns focused on cost per lead.

Current Availability of Journey Aware Bidding

At this point in time, Journey Aware Bidding is being piloted among a limited group of advertisers as they gather their initial data and share feedback. While not every advertiser can immediately utilize this new feature, it is still valuable to begin applying foundational best practices in one’s lead gen accounts to prepare for broader availability across Google Ads.

How to Prepare Lead Gen Accounts for Journey Aware Bidding

• Organize: Regardless of one’s overall bid strategy, it’s always a good idea to be accurately tracking several user touchpoints within Google Ads. Most of these actions are not worth using as account-level goals (such as page views or brochure downloads) yet they will act as the foundation upon which JAB will optimize performance over time.

To get a complete purview of the customer journey, importing offline conversions into the account can provide additional insight (if this is not being done already).

• Strategize: Decide which action is most crucial to the business advertised; set it as an account-level goal. This is the conversion that will be used to optimize bids and to prime the algorithm to predict meaningful conversions.

• (Re)configure: Set every conversion action that relates to the user’s journey as Primary; however, only the most important stage of conversion should be used for bidding optimization (see above). Exclude the rest from campaign- and account-level goals (though keeping them as Primary conversions will allow JAB to learn from them).

What Journey Aware Bidding Signals for the Future of Smart Bidding

Now more than ever, advertisers need to consider a holistic approach to their account optimizations if they are to make the most of Google’s Smart Bidding technologies. This is especially true in an industry where a one-size-fits-all approach to managing Google Ads seldom works universally. It is already clear that Journey Aware Bidding is likely to reshape how advertisers think about best practices in ads management, much like other new offerings from Google. One concept will always remain, though, and that is the importance of pairing high-quality data with Google’s robust learning capabilities. With this in mind, lead gen managers have several positive changes to anticipate as this feature evolves.