The hard part isn’t finding data.It’s knowing what to do with it.

I turn research, performance data, and customer behavior into a clear point of view on what is happening, why it matters, and what the business should do next.

A useful strategy has to travel. I make complex thinking clear, persuasive, and actionable so leaders and cross-functional teams can see the opportunity, understand the tradeoffs, and move in the same direction.

Data brings rigor. Strategy brings context, judgment, and imagination. I use both to make decisions that are grounded in evidence while still building brands and experiences people actually care about.

I leave behind more than a deck or a campaign: clearer messaging, stronger measurement, useful frameworks, and a better way for teams to make customer-centered decisions over time.

Paige is a marketing strategist, entrepreneur, and photographer with 11+ years across agency marketing, communications, brand strategy, client leadership, and business ownership.

She began her career at Weber Shandwick, Edelman, and Real Chemistry, then built Paige Vaughn Photo into a nationally recognized, multi-six-figure business. She is now adding formal depth in analytics, consumer behavior, and AI-enabled workflows through UT McCombs’ M.S. in Marketing Analytics and Strategy.

Her through-line is simple: understand people well enough to make better business decisions. Paige turns customer insight into clearer positioning, stronger experiences, smarter priorities, and measurable growth.

Yes. Paige’s experience includes leading clients, creative collaborators, vendors, partners, and cross-functional agency workstreams. As a founder, she has also built systems and coordinated a team around high-stakes client delivery.

Her leadership style is practical and people-first: make the goal clear, reduce ambiguity, give people ownership, and keep the work moving.

Paige is strongest when a team has data, opinions, and a Slack channel full of “quick thoughts,” but no shared answer to what to do next.

She helps teams understand customers more clearly, sharpen a product or brand story, prioritize what matters, and turn research into a decision someone can actually act on. Her work sits between customer insight and execution: what people want, what the business needs, and what should happen next.

Paige’s work spans consumer, health and wellness, beauty, technology, professional services, weddings and events, and mission-driven communications.

She built her agency foundation at Weber Shandwick, Edelman, and Real Chemistry, where the work often involved making complex stories clearer, more relevant, and more actionable. As founder of Paige Vaughn Photo, she has led brand, marketing, client experience, partnerships, and growth for her own business.

Her current portfolio work includes wellness membership pricing, an Oura member-value study, and WedWallet’s go-to-market strategy. Where client work is confidential, she shares the business problem and outcome rather than treating every logo as a trophy case.

Paige has been on both sides of the brief.

She combines agency rigor, founder-level ownership, visual and brand judgment, client leadership, and growing depth in analytics and AI. She can move from a customer interview or performance signal to a strategic recommendation, then pressure-test whether it will actually work in the real world.

She is not interested in insight as a beautifully formatted PDF. She is interested in insight that changes positioning, priorities, product decisions, or growth.

Paige starts by defining the real decision underneath the request. Then she uses the right mix of qualitative and quantitative evidence to find the pattern that matters, not just the pattern that is easiest to chart.

The final step is translation: a recommendation tied to an owner, a priority, a trade-off, and a next action. Research is only useful when it changes what the team does.

I use AI as a strategic work accelerator, not a substitute for judgment. My approach is to pair strong customer and business context with AI-supported research, analysis, synthesis, and execution, then validate the output against source material, data, brand standards, and the actual decision at hand.

In practice, I use tools such as ChatGPT, Claude, Gemini, and purpose-built AI features in research, analytics, and creative platforms to move more quickly from ambiguity to a well-reasoned recommendation. I build structured prompts, give the model relevant context and constraints, pressure-test outputs from multiple angles, and refine the work until it is genuinely useful to the stakeholder, not merely polished-sounding.

My use cases include:

• Research and insight synthesis: Organizing large volumes of customer feedback, interviews, reviews, social conversation, survey responses, competitor information, industry reporting, and internal materials into themes, tensions, hypotheses, and decision-ready takeaways. I use AI to accelerate first-pass coding and pattern detection, while retaining responsibility for interpretation, source validation, and the final point of view.
• Customer strategy and segmentation: Developing personas, jobs-to-be-done hypotheses, journey maps, messaging territories, audience questions, and segmentation frameworks. AI helps me identify potential patterns and edge cases quickly, but I anchor recommendations in actual customer evidence and business realities.
• Data analysis and technical work: Using AI to support SQL, R, Python, Excel, and statistical workflows, including debugging, documentation, data-cleaning logic, exploratory analysis, model interpretation, and visualization concepts. I treat AI-generated code as a draft that must be reviewed, tested, and understood before use.
• Decision support: Turning scattered inputs into clear briefs, executive summaries, strategic options, implementation roadmaps, measurement plans, and risk assessments. I use AI to surface alternatives and challenge assumptions, then make the tradeoffs explicit so leaders can make informed decisions.
• Marketing and go-to-market execution: Creating stronger starting points for positioning, messaging frameworks, audience-specific copy, launch plans, campaign concepts, content systems, SEO outlines, and sales enablement. I use it to produce more iterations faster, while maintaining brand voice, factual accuracy, originality, and audience relevance.
• Workflow design and automation: Identifying repetitive or low-value tasks and building practical AI-enabled systems to reduce them, such as research templates, content and reporting workflows, intake forms, knowledge bases, prompt libraries, meeting and feedback synthesis, and quality-control checklists. The goal is not simply “using AI,” but making work more repeatable, scalable, and useful.
• Creative collaboration: Using generative tools to explore concepts, visual directions, storyboards, information architecture, and presentation structures. I see AI as an excellent collaborator for divergent thinking and rapid prototyping, while human taste, ethics, strategic clarity, and craft determine what moves forward.

I am also thoughtful about responsible use. I do not treat AI output as fact, disclose its use when appropriate, protect confidential or personally identifiable information, verify sources and calculations, watch for bias, and retain human accountability for recommendations and final work. The value I bring is not just knowing how to prompt a model. It is knowing what question to ask, what evidence matters, where AI can help, where it can mislead, and how to turn the output into better customer experiences and measurable business results.

Paige is earning an M.S. in Marketing Analytics and Strategy from UT Austin McCombs, with a focus on analytics, consumer behavior, strategy, and applied AI. It is an accelerated, in-person, full-time program that covers two years of coursework in ten months, and she is expected to graduate in May 2027. It is McCombs’ specialized M.S. in marketing, separate from the MBA.

The program is a deliberate complement to her professional experience: deeper analytical tools for the customer, product, growth, and brand decisions she already enjoys working on.

Paige is pursuing in-house roles where customer insight, strategy, data, and execution meet. Her strongest-fit titles include Product Marketing Manager, Product Strategy, Growth Strategy, Consumer Insights, Customer Strategy, Brand Strategy, Customer Experience, and marketing analytics roles with a clear path to influencing product or business decisions.

She is especially interested in consumer health, digital health, wellness, wearables, beauty, fitness, CPG, retail, consumer technology, SaaS, and B2B2C. She is also open to adjacent categories where the customer problem is compelling and the role has real ownership.

Geographically, Paige is focused on Austin, Seattle, San Diego, or a genuinely remote U.S. role. She is open to hybrid or in-office roles within commuting distance of those markets.

Building a business taught Paige how much she likes ownership: listening closely to customers, making decisions with imperfect information, building a distinct brand, and being accountable for the outcome.

She is moving in-house because she wants to bring that ownership to larger, more complex product and brand problems, alongside teams building products and experiences people use repeatedly. She is not leaving entrepreneurship behind so much as bringing its best parts with her: initiative, commercial judgment, resilience, and a healthy allergy to strategy that never leaves the slide deck.

The easiest way to reach Paige is by email at paigevaughn15@gmail.com or by phone at 225-301-5794. You can also connect with her on LinkedIn.

If you are reaching out about a role, project, or conversation, include a little context. Paige appreciates a specific note more than a mysterious “quick chat?”