Brand Lift Studies: A Guide for Experiential Marketers

Written by: Bryan Grobstein, Vice President, Global Revenue, AnyRoad | Last updated: July 30, 2026

Brand Lift Study Essentials for Experiential Marketers

• A brand lift study measures incremental changes in perception, recall, and purchase intent by comparing exposed and control groups, giving concrete proof of marketing impact.
• Core metrics include unaided awareness, ad recall, brand favorability, consideration, purchase intent, and NPS, with live events usually delivering higher lifts than digital campaigns.
• Costs range from free platform-native studies to more than $150K for enterprise research, while first-party platforms like AnyRoad remove separate panel costs by baking measurement into activations.
• Experiential marketers often see 60–85 percentage points of purchase intent lift by capturing first-party data, running pre/post surveys, and tracking post-event retail conversions.
• See how to measure these metrics in your activations

What Is a Brand Lift Study?

A brand lift study is a controlled experiment that measures the incremental change in brand perception metrics attributable to ad or experience exposure by comparing outcomes between an exposed group and a matched control group. The lift is the percentage-point difference between the two groups on a given metric, such as awareness, favorability, or purchase intent.

For CPG and alcohol brands running live events, tastings, or field activations, brand lift studies show whether an activation changed how consumers think and behave. Without a structured study, the answer stays anecdotal. With one, the impact becomes quantified and defensible.

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How Brand Lift Studies Work

Understanding what brand lift measures is only half the equation. The methodology behind these studies determines whether results stand up to CFO scrutiny.

The core methodology mirrors a randomized control trial: audiences are split into an exposed test group and a holdout control group, both are surveyed after sufficient exposure, and the difference in positive responses is calculated as the lift score. In digital advertising, platforms like Meta and Google automate this split at the account level. In experiential marketing, teams construct the split manually, with attendees forming the exposed group and a matched sample of non-attendees or pre-event respondents forming the control.

A PSA holdout methodology is one rigorous variant. The control group receives a neutral message instead of brand content, and downstream behavioral differences isolate true brand lift from organic movement. For live events, the equivalent is a pre/post survey design that captures baseline attitudes before the activation and measures shifts immediately after.

The lift calculation itself stays simple. If 62% of event attendees report purchase intent after the activation versus 38% of a matched non-attendee control group, the brand lift equals 24 percentage points.

Key Brand Lift Metrics and Benchmarks

Brand lift studies track metrics across the full purchase funnel. The table below summarizes standard metrics, their funnel position, and typical benchmark ranges drawn from digital and live-event research.

Purchase intent is the metric finance teams scrutinize most because it correlates most directly with downstream revenue. Meta-analyses of brand lift data show that a 5 to 10 point lift in purchase intent often precedes a real sales increase weeks later, which makes this metric the bridge between brand measurement and CFO-level justification.

Brand Lift Study Costs by Approach

Brand lift costs vary significantly by methodology, platform, and study scope. The table below provides current benchmarks across the most common approaches.

A practical budget rule is simple. Allocate 1–2% of total media budget to brand measurement. Experiential programs can reserve that budget for brand intelligence while platforms like AnyRoad embed measurement directly into the activation workflow, removing the need for a separate panel study budget.

Brand Lift Study Examples Across Channels

Digital: An FMCG brand running a $40,000 YouTube reach campaign achieved a 22 percentage-point absolute lift in unaided ad recall and a 5 percentage-point lift in purchase intent among 6,200 surveyed users. A beverage startup's $200,000 YouTube and Reels campaign produced a 14-point lift in aided ad recall and a 6-point lift in purchase intent, followed by 31% higher branded search volume over six weeks.

Live Events and Experiential:

• Diageo measured a 16-point NPS increase from pre-visit to post-visit at Johnnie Walker Princes Street using AnyRoad analytics, and found that a historically under-targeted demographic was 40% more likely to drink whisky after visiting.
• An artisanal mezcal brand running festival activations at III Points and Portola achieved 85% post-event purchase intent, with detailed reports generated in about 20 minutes using AnyRoad's automated reporting.
• A CPG beauty brand's field marketing events, run by Conversate Collective using AnyRoad, showed 74% of guests were more likely to purchase the brand's products after attending.
• Just Egg collected 30,000 customer data points across 300 events and found that 90% of consumers who tasted the product intended to buy it, creating a direct purchase intent signal captured through first-party data.
• Sierra Nevada achieved an 85% brand conversion rate post-event, consistently creating new brand champions through structured feedback and experience improvements.

What Counts as a Good Brand Lift Percentage?

Lifts of 5–15% in awareness or consideration from social media advertising are considered healthy, with results varying by category, budget, and creative quality. A 5 to 10 point absolute lift in ad recall is generally considered strong, while a few points of lift in purchase intent is meaningful because intent moves slowly.

For live events and experiential activations, benchmarks are materially higher and often show strong gains in awareness and sponsorship metrics. Attendees who recalled a brand partner at live events achieved 46% brand consideration, a 60% uplift versus those who did not recall the partner. Digital campaigns typically achieve 2–6 percentage points of purchase intent lift, while experiential activations routinely produce 60–85 percentage points among attendees.

The most useful benchmark is a brand's own historical data. Comparing lift against past campaigns is more actionable than chasing a universal number, because baseline awareness, category competition, and audience quality all affect what is achievable.

Brand Lift Studies Tailored to Experiential Marketing

Experiential marketing creates a measurement challenge that digital-native brand lift tools do not solve well. Meta and Google brand lift studies only measure lift within their own inventory, leaving live events, tastings, brand homes, and field activations unmeasured. A first-party data infrastructure built into the activation itself closes that gap.

AnyRoad's experiential marketing platform enables CPG and alcohol brands to run brand lift studies at scale across every live touchpoint. The approach has three components.

• First-party data capture at every touchpoint. AnyRoad's FullView feature captures data from every attendee in a group, not just the person who booked. Proximo Spirits used this capability to immediately collect 69% more guest data and 34% more NPS responses after discovering they were missing contact information for more than 66% of their guests.
• Pre/post perception tracking. Custom surveys deployed before and after an experience measure shifts in brand awareness, NPS, favorability, and purchase intent. Diageo's team noted: "With AnyRoad, we are able to measure NPS, Brand Conversion, and more, providing us with solid data that shows the positive impact the JWPS experience is having on our guests."
• AI-powered feedback analysis. AnyRoad's PinPoint feature automatically analyzes thousands of open-text survey responses to surface key themes, sentiment drivers, and actionable recommendations in real time. This automation removes the manual analysis that typically delays post-event reporting by weeks.

Post-experience purchase conversion tracking closes the final gap. AnyRoad's Purchase Conversion Tools, including cashback rebates, punch cards, and sweepstakes entries delivered via SMS, connect offline activation attendance to retail purchase behavior. This connection creates a traceable link between a tasting room visit or festival activation and a verified retail sale, producing the revenue attribution data that justifies experiential budgets at the board level.

Research shows that consumers often feel more inclined to purchase after an event, but that signal only becomes actionable when teams capture, attribute, and report it. AnyRoad provides that infrastructure without a separate panel study budget.

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Common Brand Lift Pitfalls and How to Avoid Them

Several structural errors undermine brand lift studies before data collection begins. These issues fall into three categories: design flaws that compromise validity, measurement gaps that limit actionability, and timing or scale mistakes that block optimization.

The most fundamental design flaw is defining the control group after the campaign. Credible brand lift studies require defining the control group before campaign launch and matching exposed and control cohorts on demographics, geography, and category behavior. Post-hoc control selection introduces selection bias. A related validity issue is insufficient sample size. Brand lift studies require a minimum sample size of 1,000+ respondents for statistical significance. Smaller samples produce directional data only and cannot support budget justification decisions.

Even well-designed studies can fail when they measure only attitudinal lift. Studies that stop at attitudinal lift without linking to behavioral outcomes or revenue often fail CFO scrutiny. Purchase conversion tracking must accompany perception measurement so teams can connect shifts in favorability or intent to actual sales behavior.

Timing and tooling decisions also affect study value. Running the study in-flight rather than post-campaign enables real-time optimization. In-flight brand lift insights allow advertisers to optimize creative, shift spend allocation, or refine targeting while the campaign is still live. At the same time, publisher-provided brand lift studies carry an inherent conflict of interest and rely on lightweight standardized surveys within a single publisher's ecosystem. Independent or first-party measurement provides more defensible results for cross-channel campaigns.

Frequently Asked Questions

What is the difference between brand lift and ad recall?

Ad recall measures whether a consumer remembers seeing a specific advertisement or activation. Brand lift is a broader term that covers any measurable change in brand perception metrics, including ad recall, awareness, favorability, consideration, NPS, and purchase intent, that is attributable to a campaign or experience. Ad recall is one component of brand lift, usually the easiest metric to move and the first to show results. Purchase intent lift is harder to achieve but more directly connected to revenue, so finance and leadership teams focus on it most.

Can brand lift studies be run for small activations or limited budgets?

Brand lift studies can work for small activations when the methodology fits the budget. Formal third-party panel studies from providers like Nielsen or Kantar require significant spend to achieve statistical significance. For smaller activations, a pre/post survey design using a first-party data platform like AnyRoad captures attendee perception shifts without a separate panel cost. Custom survey questions deployed at registration and post-experience can measure NPS, purchase intent, and brand favorability across every attendee. For campaigns under $30,000 in media spend, proxy metrics such as branded search volume and direct traffic provide directional evidence of brand impact when a full randomized control study is not feasible.

How does AnyRoad enable brand lift measurement for experiential programs?

AnyRoad embeds brand lift measurement directly into the experiential activation workflow through pre-experience baseline surveys, post-experience perception tracking, and purchase conversion tools that link activations to retail sales. This approach is detailed in the Brand Lift Studies Tailored to Experiential Marketing section above, which explains how features like FullView and PinPoint enable this measurement without separate panel study costs.

What is a statistically significant brand lift result?

A statistically significant result means the observed lift is unlikely to have occurred by chance, typically defined as a p-value below 0.05, or a 95% confidence level. In practice, this standard requires sufficient sample size in both the exposed and control groups. Google's Brand Lift studies, for example, require between 1,200 and 180,000 total survey responses depending on the size of lift being detected, because smaller lifts require larger samples. For experiential programs, achieving statistical significance depends on activation scale and the quality of data capture infrastructure. Platforms that collect data from every attendee, rather than only those who opt in, produce larger and more representative samples, which improves the reliability of lift estimates.

How do brand lift results from live events compare to digital advertising?

As noted in the benchmarks section, experiential activations consistently outperform digital advertising on purchase intent and favorability metrics. The mechanism differs by channel. Digital advertising builds awareness through repeated exposure, while live experiences create direct product trial and emotional brand association in a single interaction. Historically, experiential marketing struggled to prove this advantage because it lacked structured data capture. First-party platforms now address that gap by turning each activation into a measurable study.

Conclusion: Turning Every Activation into a Measurable Study

Brand lift studies provide the standard framework for connecting marketing investment to changes in consumer perception. For CPG and alcohol brands running live events and activations, the core logic mirrors digital programs, with exposed versus control groups, pre versus post measurement, and attitudinal versus behavioral metrics. The difference lies in infrastructure, which must be built into the activation itself.

First-party data capture, AI-powered feedback analysis, and post-experience purchase conversion tracking turn every activation into a measurable brand lift study. This structure produces the evidence needed to justify and scale experiential budgets.

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