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How AI Marketing Agencies Personalize Customer Experiences

Single Grain

While traditional segmentation once divided audiences into broad categories, today’s AI marketing agencies are creating unique, individual experiences for millions of customers simultaneously. The agencies leading this revolution have moved far beyond inserting names into email subject lines.

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How AI Marketing Agencies Measure Campaign Success: A 2025 Guide to Performance Metrics That Drive Growth

Single Grain

While traditional agencies still wrestle with last-click attribution and delayed reporting, AI-focused agencies are 57% more advanced in campaign-measurement practices than their advertiser counterparts. Marketing measurement has reached an inflection point. This sophistication gap isn’t just about having better tools.

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Intro to Incrementality Series: Part II

Digital Remedy

In Part 1 of our Intro to Incrementality series , we covered the basics of how incrementality analysis helps marketers uncover the true impact of their advertising by comparing two groups: Exposed Group those who saw ads. Control Group those whodid notsee ads. External Noise : Uncontrollable variables (e.g.,

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How to Build Cookieless Retargeting Strategies That Work

Single Grain

After comparing exposed and control groups, marketers can isolate the true impact of retargeting campaigns without relying on individual user tracking. Advanced measurement frameworks also incorporate: Cohort analysis: Tracking user groups over time to understand long-term value. Testing in increments is another tactic.

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How Programmatic DOOH B2B Reaches Decision-Makers Anywhere

Single Grain

Intent Lift Measurement Framework The most robust measurement approach compares exposed audiences (people who pass near activated screens) against unexposed control groups and then tracks subsequent online behavior and changes in intent signals. This mid-funnel metric proves creative resonance before leads enter your CRM.

ROI
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Intro to Incrementality Series: Part 3

Digital Remedy

In Part 1 of our Intro to Incrementality series , we covered the fundamentals-measuring incremental lift by comparing test (exposed) and control (holdout) groups. In Part 2 , we explored how to create accurate control groups using ghost bidding to eliminate bias and avoid skewing incrementality analysis.

CPA
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Intro to Incrementality Analysis Series: Part I

Digital Remedy

Welcome to the first part of our Intro to Incrementality series, which uses real-world examples to explain how incrementality analysis and incremental lift can help brands and agencies isolate the effect of a particular media type or campaign variable in order to accurately measure its impact. Warning: this post involves (basic) math.