An advertiser kicks off a programmatic campaign using various channels. Impressions are delivered by the campaign, but the reporting reveals that the same buyer is seen as several users from different devices. The problem here is lack of recognition of the same prospect through fragmented touchpoints.
With third-party cookies going away and the changing landscape of data collecting due to new privacy regulations, there has been a move towards identity resolution utilizing first-party data and authenticated audiences.
This article talks about identity resolution trends impacting programmatic advertising.
The Post-Cookie Identity Reckoning
Rather than sticking with just one form of tracking, marketers are merging the two types of data deterministic and probabilistic to come up with a privacy-friendly customer profile. This will assist them in retaining their audience reach while complying with data privacy regulations.
The impact extends beyond targeting. Identity Resolution impacts bidding, frequency capping, cross-device matching, and audience activation. With a common ground, it allows DSPs and marketers to optimize their bids.
Identity Resolution Is Moving Towards Precision and Privacy
1. Deterministic Identity is Better than Anonymous Tracking
Identifiers such as email addresses and user IDs provide accuracy than cookie-based matching. It enhances targeting and metrics in the campaigns.
A video streaming site utilizes user login details in CTV and mobile to deliver ads without being too repetitive.
2. Improved Efficiency in Campaigns Through Cross-device Identity
Identity Resolution trends correlate activities that happen via smartphone, laptop, CTV, and tablet into one customer profile.
In the case of a travel company, it was found that a specific customer was looking for a flight ticket via smartphone and made a booking using a desktop.
3. Identity Graphs are Becoming AI-driven
AI update’s identity relationships as customer behavior changes, improving audience segmentation and reducing outdated profiles.
An e-commerce marketplace updates customer identities when users switch devices or create new accounts, helping platforms target active shoppers.
4. Measurement is Shifting to Identity-based Attribution
Advertisers are linking up impressions, clicks, and conversions using unified identities rather than web-based cookie tracking.
An IT firm matches webinar sign-ups, website visits, and demo requests with a specific consumer identity, making it easier for marketers to understand the impact.
Identity Resolution Trends Are Forcing Organizations to Rebuild Their Data Strategy
1. Consent Management is Part of the Strategy
Identity frameworks now depend on transparent collection and governance. Data that lacks proper permissions cannot support targeting or measurement.
A financial services company activates customer audiences only after verifying consent preferences, ensuring campaigns comply with privacy regulations.
2. CDPs are Central to Identity Resolution
CDPs are designed to unify the data on customers collected from different places into identities that can be used for advertising.
An online shopping retailer is using a CDP to merge consumers’ browsing, purchasing, and email activity into audience segments.
3. Data strategy is Shifting from Collection to Activation
It’s not about collecting data from customers but organizing and activating trusted identities across all channels. Good Identity Resolution helps in targeting, measuring, and optimizing throughout the customer journey.
A technology company uses unified customer profiles to deliver messaging across display advertising, CTV, and LinkedIn.
AI and Machine Learning as Identity Resolution Infrastructure
1. AI Strengthens Probabilistic Identity Matching
When deterministic identifiers are unavailable, AI analyzes behavioral and contextual signals to estimate identity connections.
A publisher uses ML to identify returning visitors across different browsers based on browsing patterns and engagement signals.
2. Real-time Identity Decisions Improve Media Efficiency
AI processes customer signals, allowing advertisers to update audience segments and optimize bidding while campaigns are running.
An e-commerce marketplace removes customers who have already completed a purchase from active programmatic campaigns.
3. Identity Resolution is Evolving into an Intelligent Decision Layer
AI is not used for identity resolution purposes alone but also for assisting in choosing audience, managing frequency, attributing, and optimizing campaigns. It assists Programmatic Advertising in making data-driven decisions.
The software company uses AI-based Identity Resolution for excluding its existing customers from the acquisition campaign and targeting only the prospects.
Programmatic Identity Ecosystem of 2030
In 2030, Identity Resolution will form the core of Programmatic Advertising, as opposed to being one of its capabilities. It all depends on how well an organization can integrate identity data from various touchpoints and use them for actionable insights.
Paramita Patra is a content writer and strategist with over five years of experience in crafting articles, social media, and thought leadership content. Before content, she spent five years across BFSI and marketing agencies, giving her a blend of industry knowledge and audience-centric storytelling.
When she’s not researching market trends , you’ll find her travelling or reading a good book with strong coffee. She believes the best insights often come from stepping out, whether that’s 10,000 kilometers away or between the pages of a novel.
