Bruster’s Media Case Study

Efficiencies Driven Through Unified Media & Data Intelligence 

Consolidating their corporate and franchise-level marketing to one primary agency, with one data view, gave Bruster’s better insights and saved them money on agency fees. 

  • 60%

    Lower annual social retainer

At a Glance

Client
Bruster’s Real Ice Cream
Engagement
Media, Data Intelligence
Focus
Unifying fragmented vendor support & siloed data

Overview

The result was a more efficient, transparent, and performance-driven operating model for both corporate and franchise-level marketing. 

Multiple agencies, disconnected data streams, and limited visibility into performance across its BOSS system was impacting Bruster’s bottom line. 

Rather than recommending a costly third-party CDP, we unified the brand’s data internally, consolidated marketing responsibilities under one agency, and created a scalable structure for localized franchisee investment.  

The result was a more efficient, transparent, and performance-driven operating model for both corporate and franchise-level marketing. 

The Proof

Unifying key data into the BOSS ecosystem improved corporate visibility and franchisee transparency.

Consolidating services under a single retainer reduced Bruster’s media management fees by 8% and lowered the annual social retainer by 60%. Additional cost savings were driven by avoiding the planned CDP investment, removing redundant data providers.

  • 8%

    Lower media management fees

  • 60%

    Lower annual social retainer

  • 2

    Redundant data vendors removed

The Goal

Unify fragmented marketing operations, unlock first-party data without buying a CDP, and create a scalable way for franchisees to invest locally. 

The Challenge

Split agency ownership was driving up retainer costs and resulting in inconsistent brand execution, siloed customer data, limited POS and revenue visibility, redundant vendors, and a manual process for coordinating local franchisee media buys. 

The Solution

We supported Bruster’s Real Ice Cream with a consolidated marketing and data strategy designed to simplify a fragmented franchise environment.

Front of a Bruster's Ice Cream store with the Bruster's sign and there is two cherries between the U and the S

Brunner built a centralized data warehouse that combined POS transactions, credit card sales, performance data, and audience data, standardized tracking, and enriched customer profiles. With better insight into performance, we could see where they needed help. When we unified paid media, social, community management, PR, SEO, and web development under one plan and one agency, Bruster’s was able to eliminate higher vendor costs and reallocate marketing budget. 

A person holding a three scoop ice cream cone outside of a Bruster's Ice Cream store

We also migrated franchisees to Sprout Social for better transparency and easier daily management, and introduced a ‘White Glove Service’ model for those seeking additional local support and spend.

Home Improvement Retailer Case Study

GEO Test Proved Paid Search ROI 

A statistically clean test turned a hunch about nonbranded search into a defendable growth case. 

  • 100+

    Stores tested in a statistically valid geo experiment

At a Glance

Client
Large home improvement retailer
Engagement
Paid Search, Marketing Mix Modeling
Project
Geo Testing
Focus
Prove incremental ROI of nonbranded paid search before reallocating spend 

Overview

Platform metrics looked promising, but promising isn’t proof.  

A large home improvement retailer needed a defendable way to measure the return on nonbranded search investment before changing channel allocation.  

We treated data and creative as one system of proof, not separate workstreams, and built a geo test designed to hold up under scrutiny. 

The Proof

The test measured a consistent, statistically significant sales lift from nonbranded search. Results stayed aligned with industry norms and validated the channel across markets. The region saw over 2 percentage points of growth in total revenue. 

  • Over 2 Percentage Points

    Revenue growth across region

  • Statistically Significant

    Result validity

The Goal

Measure the true incremental impact of nonbranded paid search before the retailer committed to a bigger channel shift. 

The Challenge

Platform metrics and informal pre- and post-reads suggested the channel was working, but the client needed a comprehensive ROI measurement they could trust. The test design also had to account for shoppers who visit multiple stores and for real market differences across a large region. 

A person shopping in a home improvement store

The Solution

We designed a geo test across a region with more than 100 stores. We segmented stores using historical sales patterns and trade area signals like local demographics, weather, and macroeconomic factors, then matched each store with a statistical twin to create a clean control set. That architecture gave the client an apples-to-apples read on performance and made the result explainable. 

A person shopping for a weedwacker

Infosys AdSkate Case Study

Three Key Objects Behind INFOSYS’ CTR lift

Our AdSkate AI pinpointed the image elements and CTAs driving results and recommended optimizations to enhance performance. 

  • 17%

    Savings in campaign spend

At a Glance

Client
Infosys
Engagement
Display Campaign Creative Analysis
Intelligence
AdSkate — AI creative intelligence platform
Duration
1 Month
Creative Analyzed
10 creatives, 41 unique attributes identified

Overview

Infosys wanted data-driven truth about what made its display campaign work ― which signals moved results and which ones didn’t. 

We put AdSkate to work reading the creative and the campaign together, then mapped performance back to the objects, messages, and calls to action inside the ads.  

The payoff was a more defendable way to understand creative performance and make the next round smarter.

The Proof

When campaign creative contained certain objects, it performed better overall. By reflecting these objects alongside top performing CTAs, Infosys achieved 17% savings in ad spend with AdSkate optimizations.

  • +47%

    Click lift from ‘Learn More’ CTA

  • +48%

    CPC improvement from ‘drone,’ ‘package,’ ‘sky’ objects

  • +17%

    CTR lift from targeting key objects ‘data center,’ ‘computer,’ ‘keyboard’

The Goal

Infosys wanted data-driven insights from AdSkate, our AI creative intelligence platform, to assess how its display campaign assets were performing. 

  • Actionable Signals

    Map performance back to specific objects and message elements to give the next round of creative a clearer foundation.

The Challenge

The campaign needed a clearer read on which creative attributes were actually influencing performance across the ads. 

A person running on a track

The Solution

We used AdSkate to analyze 10 Infosys’ ad creatives and campaign data, evaluating creative attributes and parameters, then tying performance back to specific objects and message elements. It identified 41 creative attributes over a 1-month campaign and determined top performers:

  • Incorporating the AI-detected objects ‘data center’, ‘computer’, and ‘keyboard’ boosted CTR by 17%.
  • The ‘Learn More’ call to action increased clicks by 47%.  
  • Featuring the AI-detected objects ‘drone’, ‘package’, and ‘sky’ improved CPC by 48%.  

  

an Image of a soccer goal with a text field saying, your shot

Brother AdSkate Case Study

Brother’s Creative, Decoded by AI

Our AdSkate AI found the signals behind performance.

  • +49%

    CTR improvements

  • -67%

    CPC reduction

At a Glance

Client
Brother
Engagement
Campaign Creative Analysis
Intelligence
AdSkate
Duration
1 Year
Creative Analyzed
15 Ads, 118 unique identified attributes

Overview

Brother wanted more than a creative audit. It wanted truth it could act on.

We put AdSkate to work on the campaign’s ads and pulled apart the visual and messaging choices shaping performance, from image tone and background context to product focus and calls to action.

The result was a clearer read on which creative signals helped Brother earn attention and which ones diluted it. That kind of clarity turns creative from opinion into proof. 

The Goal

Brother wanted data-driven insight into which creative attributes moved campaign performance, so it could understand what drove stronger engagement and purchase outcomes.

The Challenge

The campaign needed a clean read on performance across multiple creative variables. Brother had 15 ads in static and video formats, 118 identified attributes, and a year’s worth of activity to make sense of. The question was simple. Which visual and messaging choices actually mattered? 

The Solution

We used AdSkate to examine Brother’s ads and campaign data as one connected system. It identified patterns across objects and products, visual tone, messaging themes, environments, and imagery style.

That let us see which combinations built momentum and which ones fell flat. Home and office settings, vibrant tones, and specific printer use-case messaging all emerged as stronger signals. 

A person using a copier

The Proof

Brother’s ads showed stronger performance when they featured workspace environments, vibrant color tones, and clear product use-case messaging. Product-only visuals and broad messaging underperformed. The pattern was consistent enough to explain, not just celebrate. 

A person using a copier

Prime Video AdSkate Case Study

The Proof Behind Prime Video's Rings Of Power's Reach

Our AdSkate AI connected visual and audio cues to optimize the campaign and drive up engagement.  

  • +83%

    Engagement lift from leading audio line

  • 4.91M

    Total player views

  • +68%

    Engagement lift from select visual elements

At a Glance

Client
Prime Video
Engagement
Display Campaign Creative Analysis
Intelligence
AdSkate
Duration
2 Months
Creative Analyzed
41 creative assets, 61 identified attributes

Overview

AI analysis of the creative lead to explainable performance, not guesswork. 

For Prime Video’s Lord of The Rings: Rings of Power campaign, we put AdSkate to work getting a cleaner read on which elements enhanced Display creative performance.  

Analyzing the creative from the 41 assets over two months, AdSkate connected those findings back to campaign data, clarifying how specific visual and audio choices shaped user response.

The Goal

Learn from the live campaign which combinations of attributes boosted performance for the Display creative for Lord of The Rings: Rings of Power and leverage these signals to increase viewer engagement with future ads. 

upward flames

The Challenge

With so much going on in the video creative, from visuals to audio variations, the team needed to understand which creative attributes were actually fueling interest across a large set of display assets. Without that read, performance would be tied to assumption instead of signal. 

The Solution

AdSkate analyzed the campaign 41 creatives, identifying 61 unique attributes, and considered performance data for the first two months. We then mapped creative attributes to engagement outcomes. The analysis connected visual cues and leading audio to measurable response, giving the team a clearer view of what to keep building around.

forest in the fog

The Proof

The campaign generated 4.91M total player views ― a success ― but what made it the most interesting? 

  • Visual elements like fire, ring, ocean, and trees led to a 68% increase in engagement. 
  • The leading audio line, “Sauron needs not armies, but rings. Fight with me.”, led to an 83% boost in engagement. 
circular flame

Chevy AdSkate Case Study

Chevy Turns Creative Into CTR 

What resonates most with potential Chevy drivers? AdSkate AI mapped the signals behind display performance to identify the elements that would drive up CTR and improve cost savings.  

  • +25%

    CTR lift from incorporating “shopping,” “flowers,” and “house”

  • +2%

    Result lift from primary ad message

  • 7%

    Savings with AdSkate

At a Glance

Client
Chevy
Engagement
Display Campaign Creative Analysis
Intelligence
AdSkate
Duration
1 Month
Creative Analyzed
4 Ads, 13 attributes

Overview

AdSkate provided a sharper read on what to keep, what to push, and where the creative itself was doing the heavy lifting.

Chevy wanted clearer, data-backed truth from its display campaign creative. AdSkate read the 4 ads as a system — not just as isolated assets — to assess which of the 13 creative attributes were actually moving performance over the first month. Then, we connected those signals to updates Chevy could defend and repeat.

The Goal

Optimize Chevy’s 4 Display ads to get the most value from the work, and identify attributes that resonate most for future campaigns. 

Side view of a Chevy car

The Challenge

Chevy needed to separate creative signal from noise. With multiple attributes visible inside a short campaign window, the question wasn’t just if the ads were appealing — it was which objects and message lines were actually tied to better performance.

The Solution

We used AdSkate to analyze Chevy’s ad creatives and campaign data together, then mapped creative attributes and parameters to performance outcomes. The process identified the specific elements that correlated with stronger CTR and result lift. 

overview of a highway with cars.

The Proof

The campaign analysis found that:

  • Incorporating “shopping,” “flowers,” and “house” elements boosted CTR by 25%.  
  • The primary ad message, “Your Crew Can Have a Roomy, No-Compromise Interior,” led to a 2% increase in Results.

   

the front of a Chevy car pulling in front of a garage door

Overall, when these were combined, AdSkate also showed 7% savings across the campaign, giving Chevy a clearer case for what was working and why. The optimizations leveraged true creative signals, not guesswork, for explainable results. 

Large Hospital Network Case Study

Modeling Drives Efficiency & More New Patients

Bayesian marketing mix model identified opportunities for smarter use of marketing dollars and incremental hospital growth within a set budget. 

  • 30%

    Improvement in cost per acquisition efficiency

At a Glance

Client
Large Hospital Network
Engagement
Marketing Mix Modeling
Project
Dual Patient Decision Path Map
Focus
Increase Marketing Efficiency
Duration
Two Years

Overview

The work turned spend decisions into a repeatable model for growth.

A large hospital network needed a clearer way to grow marketing-driven new patient acquisition inside a fixed budget.  

We built a connected marketing mix modeling system that surfaced the truth in the system: two different patient decision paths, each with different timing and response patterns.  

This gave a defendable view of channel ROI, diminishing returns, and a mix that could drive more new patient volume with less waste.  

The Proof

The hospital network shifted spend with more confidence and better visibility into marginal gain. Those gains came from a model the team could explain, defend, and use again as the budget moved. They improved cost per acquisition efficiency over two years all while reducing overall working media spend. 

  • 8%

    Reduction in working media spend

  • 2

    Patient decision paths modeled

The Goal

Increase the number of marketing-driven new patients using the existing budget, while also quantifying how a sister brand’s marketing influenced hospital new patient volume.

The Challenge

The hospital network needed to grow acquisitions without adding spend. They also needed a clearer read on which channels actually drove new patients, how returns changed as spend increased, and how outside factors like COVID-19 affected demand.

A nurse pushing a patient in a wheelchair. Both are wearing face masks.

The absence of that clarity made incremental budget decisions harder to defend. 

The Solution

We collected historical marketing and operations data, then added relevant contextual inputs, including regional COVID-19 case counts. Using a Bayesian marketing mix model, the team analyzed new patient volume patterns and identified two underlying patient types: one with a longer decision process and one that moved faster.

A doctor and a nurse in face masks examining a patient on a monitor.

The model quantified channel-level ROI, diminishing returns, and the optimal mix for maximizing new patient volume. With that architecture in place, the hospital network shifted channel mix and made incremental spend decisions based on predicted marginal gains across channels.

Brunner and AdSkate: Connecting Creative, Media and Intelligence

Brunner and AdSkate: Connecting Creative, Media and Intelligence

Marketing leaders today face a difficult challenge.

There has never been more data available, yet making confident marketing decisions has never felt more complex. Consumers engage with brands across countless channels. Creative assets are produced at unprecedented scale. Expectations for measurable performance continue to rise. And artificial intelligence is rapidly reshaping how marketers work, optimize, and grow. 

By Brunner Marketing Team

5 Min Read

AdSkate Website Landing Page Graphic

The question is no longer whether marketers have enough data. The question is whether they can predict outcomes before investing budget, launching campaigns, or producing the next round of creative assets.

Every day, marketing teams, creative directors, media buyers, brand managers, ecommerce leaders, and agency partners make decisions that determine campaign success or failure. Yet most organizations still rely on insights that arrive after money has already been spent.
That is why Brunner is excited to announce the acquisition of AdSkate, an AI-powered creative intelligence, synthetic audience, and predictive analytics platform designed to help organizations understand not only what works, but what is likely to work before a campaign launches.

A Pittsburgh Story of Innovation

This partnership reflects what Pittsburgh does best: transforming breakthrough ideas into real-world impact.

Brunner Leadership on Sofa

For decades, Brunner has helped brands grow through integrated marketing that connects strategy, creative, media, and analytics. AdSkate was built within a technology ecosystem fueled by institutions such as Carnegie Mellon University, widely regarded as a global leader in artificial intelligence, and Penn State University, whose research and engineering programs have helped shape generations of innovators.

By combining Brunner’s marketing leadership with advanced predictive intelligence developed within this innovation ecosystem, we’re building a new model for marketing performance, one that unites human expertise with data science and AI to help brands move faster, make smarter decisions, and create sustainable growth.

From Analytics to Predictive Marketing Intelligence

For decades, marketers have relied on dashboards, reports, surveys, and post-campaign analysis to understand performance. While valuable, these approaches are inherently retrospective. They explain the past.

AdSkate helps brands move into the future.

Using proprietary AI models and synthetic audience technology, marketers can test creative assets against custom-built audiences before campaigns launch. Digital ads, video assets, social content, landing pages, ecommerce experiences, email creative, and messaging frameworks can be evaluated early in the planning process.

Instead of waiting for performance data to arrive after launch, organizations can gain predictive insights about audience response, message resonance, engagement drivers, and creative effectiveness before significant media investments are made.

This allows marketers to move beyond asking “What worked?” and begin asking “What is most likely to work?”

AdSkate helps brands move into the future.

Powered by Synthetic Audiences

One of the most transformative capabilities within the AdSkate platform is synthetic audience modeling. Built using advanced AI techniques, synthetic audiences allow marketers to evaluate creative concepts, messages, visual executions, and campaign strategies against highly customized audience populations.

These audiences create a new layer of decision intelligence that complements traditional research methods. Brands can explore likely audience reactions, identify potential points of friction, uncover opportunities for optimization, and gain directional insight before launching campaigns into market.
The result is faster learning, reduced risk, more informed creative decisions, and greater confidence in marketing investments.

Building Better Creative Through AI

Traditional creative testing often identifies a winning ad. AdSkate takes optimization significantly further.

Through continuous performance analysis, AI can identify the specific visual, emotional, messaging, structural, and audience-related attributes contributing to success across multiple creative assets.
Rather than selecting a single winning creative execution, marketers can isolate the highest-performing components from numerous ads and use those insights to inform the next generation of creative development.

This creates the opportunity to build champion creative informed by the strongest-performing attributes discovered across campaigns, audiences, channels, and formats.

As campaigns continue to generate performance data, the system continuously learns, identifies emerging patterns, and provides recommendations that help improve future creative effectiveness.

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Brunner Marketing Team

Brunner team members from across the agency contribute to blog content through their storytelling expertise, from writing and editing to visual design, illustration, and video.

 Visit Brunner Marketing Team on LinkedIn 

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Cookies Aren’t Going Anywhere—But Cookieless Strategies Still Matter

Cookies Aren’t Going Anywhere—But Cookieless Strategies Still Matter

For years, marketers prepared for a world without third-party cookies.

Google’s 2020 announcement that Chrome would entirely phase out cookies sparked a wave of wondering what cookieless targeting and measurement would look like. 

By Brunner Marketing Team

5 Min Read

Finger choosing between Manage Cookies and Accept Cookies
More opportunities to opt out can mean less data for marketers, so how do we adapt?

Fast-forward to 2025: While Apple’s Safari browser continues to implement stricter tracking policies, Google confirmed it would not be deprecating third-party cookies in Chrome after all. Months later, Google also announced it was retiring most of the Privacy Sandbox APIs (application programming interfaces) due to low adoption. The cookieless replacement promised for years was suddenly off the table.

Since 2025, Safari has taken a tougher stance on cross-site tracking, fully blocking third-party cookies by default across devices, autodeleting stored data after periods of inactivity, and leveraging on-device machine learning to detect cross-site trackers. With the release of Safari 26, Apple strengthened these protections with enhanced anti-fingerprinting measures and removed tracking parameters from URLs, making it much harder for advertisers and data partners to follow users across the web.

These decisions change the conversation but do not erase the need for privacy-first strategies. Here’s what’s happening and how marketers can move forward with confidence.

What the privacy landscape is like now

  1. Third party cookies are still supported in Chrome
    • Google has walked back its deprecation plan. Cookies work today just as they did before, unless a user or browser blocks them.
  2. Privacy Sandbox is effectively dead
    • Most of the high-profile Sandbox APIs—including Topics, Protected Audience, Attribution Reporting, and Shared Storage—are retired or in wind-down. The ecosystem did not adopt them at the scale Google expected.
  3. Cookieless innovation hasn’t disappeared, but it’s fragmented
    • Browsers like Safari and Firefox still block third-party cookies and continue to get stricter. Walled gardens such as Meta and Amazon continue building their own ID, measurement, and attribution systems. The landscape is still cookieless in many pockets.
  4. Privacy expectations and regulations continue tightening
    • Even without Sandbox, consumer privacy expectations and regulations (General Data Protection Regulation, state privacy laws, and global data rules) continue to shape how data is collected and used.
Glowing Keyhole Portal With Blue Steps Graphic
Make it easy for users to understand how their data is used and why it benefits them to unlock it.
Abstract Colorful Wavy Data Waves Graphic
Your data landscape is going to change as users have more control over privacy choices. We help you understand the new normal.

A privacy-first approach for marketers

Adopting a privacy-first mindset isn’t about abandoning measurement or giving up on personalization; it’s about being intentional with every piece of data you collect and use.

By focusing on transparency, consent, and ethical practices, marketers can still achieve meaningful insights and campaign performance while building trust with their audiences. The strategies below highlight practical ways to make privacy a core part of your marketing approach, without compromising effectiveness.

  1. Prioritize transparency
    • Make your privacy policy clear and easy to understand.
    • Explain why you collect data, how you use it, and what control users have.
    • Show people that giving data is a choice, not a trap.
  2. Build on first-party data
    • Encourage login-based relationships, CRM systems, and direct subscriptions.
    • First-party data isn’t just more accurate—it’s owned by you and ethically collected with consent.
  3. Minimize unnecessary tracking
    • Audit your website and campaigns. Remove any tracking that doesn’t directly contribute to a user benefit or marketing goal.
    • Ensure cookies and other tools are set only with clear consent.
  4. Rethink measurement and attribution
    • Move toward privacy-friendly analytics, like server-side tracking, aggregated reporting, media mix modeling, and brand lift studies.
    • Focus on insights, not identifiers. Measure campaign impact without over-collecting personal data.
  5. Embrace ethical innovation
    • Use cookieless alternatives only where they respect user consent and data rights.
    • Contextual advertising, first-party insights, and audience modeling are effective without invading privacy.

 

Looking ahead

The industry spent years preparing for a future that didn’t arrive, but that preparation wasn’t wasted. It strengthened the capabilities marketers need now: flexibility, data safety, and diversified marketing.

Flexibility, data safety, & diversified marketing.

Cookies may be here for the foreseeable future, but privacy-first practices are already essential. The brands that succeed will be those that balance both.

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Brunner Marketing Team

Brunner team members from across the agency contribute to blog content through their storytelling expertise, from writing and editing to visual design, illustration, and video.

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Transform Your Brand Strategy with Voice of the Customer

Transform Your Brand Strategy with Voice of the Customer

Turn customer feedback into clearer strategy, stronger connections, and measurable growth

Our customers are already telling you what they want — the question is whether you're listening. Voice of the Customer (VoC) turns feedback, reviews, surveys, and social conversation into a strategic asset, uncovering the 'why' behind behavior so your brand can act with clarity instead of guesswork.

By Kimberly Watterson

5 Min Read

Person looking on mobile phone at a review summary
Know what your customers are saying about you and why so you can transform your marketing message and image to meet them where they are.

In today’s hyper-connected world, knowing your audience isn’t just a nice-to-have factor. It’s essential. The brands that really succeed are the ones that pay attention to the conversations happening about them online, learn from what their customers are saying, and adjust quickly. That’s where the Voice of the Customer approach makes a difference. It helps you stay in tune and ahead of the game. 

What is voice of the customer?

Voice of the Customer is a strategic approach that involves gathering and understanding information across various touchpoints to help you get a better sense of how your audience thinks, feels, and acts. With these valuable insights, brands can confidently make smarter, data-informed choices.

How voice of the customer works

Knowing this approach is important is one thing. Actually applying it in your daily efforts is another. Here are a few tools and techniques that can help you tap into real-time audience insights:

  • Social Listening Tools: Platforms like Sprout Social let you track and analyze conversations across Instagram, Facebook, X, TikTok, YouTube, Reddit, Tumblr, and more. You can even export the data to dig deeper into sentiment and trends. 
  • PR Monitoring Tools: Tools like Muck Rack help you analyze media coverage by setting specific search filters. It pulls in articles from a wide range of sources, from major outlets like Yahoo and Reuters and entertainment sites like Page Six and OK! Magazine to trade publications that cover industry-specific news and trends. 
  • SEO and Search Tools: Platforms like Ahrefs Keyword Explorer help you find out what topics people are searching for in connection with your brand or industry. It works across search engines like Google, Bing, and DuckDuckGo.

 

A person holding a mobile phone looking at charts
Illustration of charts, monitor and the title Muck Rack

Why it really matters

When you use Voice of the Customer the right way, it can uncover insights that will take your brand strategy to the next level. Here’s how it can make a real impact: 

  • Keep Tabs on Brand Health: Track how people feel about your brand, how often it’s mentioned, and how it stacks up in conversations. This will help you spot areas of risk or opportunities to build stronger connections.
  • Stand Out from the Competition: See how your brand compares to others in your space, what’s resonating with your audience, and where you can carve out a unique position.
  • Shape Smarter Strategies: Use real-time insights to guide your marketing, content, and PR efforts based on what your audience actually cares about.
  • Make Engagement Personal: When you understand your audience’s values, challenges, and favorite platforms, you can tailor your messaging and content to really connect. That usually means better engagement and more conversions.
  • Spot Trends Early: Pick up on emerging conversations and behavior patterns so you can catch shifts in demand, cultural moments, or new opportunities before they go mainstream.

Bringing the voice of the customer to life

Recently, the Brunner team leveraged the Voice of the Customer approach to help a client gain a deeper understanding of an individual’s public image and influence as their brand spokesperson. Through a combination of social listening, media monitoring, SEO analysis, and AI-powered insights, the team delivered a comprehensive view of public perception. These findings helped the client to align their brand strategy with audience sentiment and proactively manage potential risks tied to the partnership. 

Voice of the Customer is more than a tactic—it’s a strategic approach to understanding and connecting with your audience. When you truly listen to your audience and act on what you learn, you can build a brand strategy that not only aligns with your goals but also deeply connects with the people you want to reach. 

CTA Headline

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Contact Us
Headshot - Kimberly Watterson

Kimberly Watterson

Lead, Communications

Kimberly Watterson is a communications lead at Brunner, specializing in social media, influencer marketing, and event marketing. She has more than eight years of experience leading and executing social media and influencer marketing projects and campaigns. She’s worked across a variety of industries, including hospitality, construction, manufacturing, banking, and retail. Kimberly has a B.A. in Integrated Marketing Communications from Duquesne University.

 Visit Kimberly Watterson on LinkedIn 

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