Brittany Kuhic

Why this persona fits the audience

Manages social listening for a 40-person e-commerce brand in Austin, Texas. Uses a mix of Google Sheets and manual copy-pasting to extract metadata from competitor Instagram Reels and TikTok videos for monthly reports.

• Age: 29
• Location: Austin, TX, US
• Occupation: Marketing Ops Manager
• Income: $65,000 - $80,000
• Education: BA Marketing
• Company size: 40 employees
• Years in role: 3

“If I have to click more than three times to get the data I need, I'm probably doing it wrong.”

Brittany Kuhic, 29, has carved out a niche as the operational backbone of a rapidly growing 40-person e-commerce brand in Austin. With a BA in Marketing from the University of Texas, she transitioned from pure creative roles to operations three years ago, realizing that her strength lay not just in generating ideas, but in structuring the chaos of digital noise into coherent strategy. Currently, she finds herself in a unique position where she is the only one tasked with deep-dive social listening. While larger corporations might have dedicated teams, Brittany's reality is defined by the 'spreadsheet grind.' Every month, she manually extracts metadata from hundreds of Instagram Reels and TikTok videos, a labor-intensive process of pausing, copying, and pasting to ensure her competitors' strategies are accurately reflected in her reports. Her recent decision to overhaul her internal reporting template was driven by frustration with inconsistent data formats that made trend analysis nearly impossible. She has invested significant personal time learning advanced Google Apps Script functions, attempting to build her own lightweight scrapers, but hits frequent walls with platform restrictions and the complexity of parsing video-specific metadata like AI-generated transcripts or specific image tags. Despite these hurdles, she remains optimistic about the potential of automation, often spending her lunch breaks reading documentation on emerging API solutions. Financially, she is stable but conscious; earning between $65k and $80k, she balances the desire for better tools against the reality of a startup budget that can't easily accommodate high-tier enterprise licenses. Brittany represents the modern operator: technically savvy enough to code a bit, business-minded enough to demand results, and exhausted enough to wish there was a simpler way to turn the endless scroll of social media into structured, typed JSON data.

Background & daily life

A day in their life

Brittany wakes up at 6:30 AM, brewing a strong cup of coffee while checking emails on her phone before getting out of bed. By 8:15 AM, she's commuting to the office, listening to a marketing podcast. Once settled, she starts her day with a stand-up meeting where the team aligns on daily priorities. Around 10:00 AM, she dives into her most dreaded task: the 'Reel Scraping.' This involves opening five browser tabs, watching competitor videos, pausing to copy timestamps and captions, and pasting them into a master sheet, a process that eats up two solid hours. After a quick lunch break, she attends a strategy sync with the product team to discuss upcoming campaigns based on her data findings. The afternoon is spent building pivot tables and drafting the narrative for the monthly report, ensuring every number aligns with the source material. She leaves the office at 5:30 PM sharp, avoiding overtime whenever possible, to meet friends or hit the gym.

Lifestyle

Brittany lives in a vibrant, slightly noisy East Austin apartment with her college roommate, sharing rent to keep costs down while saving for a future home purchase. Her weekends are a mix of active socializing at local coffee shops and breweries with friends, and quiet evenings dedicated to experimenting with sourdough starters or hiking the nearby Barton Creek Greenbelt. She is health-conscious, jogging three times a week and meal-prepping on Sundays to avoid expensive takeout. Financially, she is prudent; she tracks every expense in a dedicated spreadsheet, prioritizing paying off student loans over luxury purchases, though she isn't afraid to invest in software that genuinely saves time.

Work life

Her role as Marketing Operations Manager is a balancing act between creative oversight and rigid data management. For a small e-commerce team, she wears many hats, but her primary daily burden is extracting insights from competitor content. She spends hours manually copying video captions, hashtags, and view counts from Instagram Reels and TikTok into sprawling Google Sheets, constantly fighting against format inconsistencies. The pressure comes from the need to deliver flawless monthly reports to leadership; a single error in data entry can skew the entire month's strategy discussion. She collaborates closely with the creative director and sales leads, acting as the bridge between raw social data and actionable business intelligence.

Relationships

Brittany maintains a tight-knit circle of three close friends from university who now work in various tech sectors in Austin, often meeting for Friday night drinks to decompress. She has a supportive relationship with her parents in Ohio, who call weekly and encourage her career moves. At work, she is highly regarded by her manager for her reliability, though she sometimes feels isolated as the sole person responsible for operations, lacking a direct peer group within the company to bounce ideas off of regarding technical challenges.

How they decide

Brittany is a cautious researcher who relies heavily on peer reviews and free trials before committing resources. She avoids impulsive purchases, preferring to validate any new tool through a 'proof of concept' phase using real-world data she already possesses. Her decisions are driven by a clear ROI calculation: if a tool doesn't save her at least five hours a week or reduce errors significantly, she will reject it regardless of how feature-rich it is. She values transparency in pricing and dislikes hidden costs.

How they sound

Brittany speaks in a clear, professional cadence typical of the Austin tech scene—friendly but efficient. She uses industry jargon like 'metadata,' 'KPIs,' and 'schema' naturally but avoids overly academic language. In casual conversation, she slips into local slang and is warm and engaging. She rarely complains directly about specific software vendors, preferring to describe the friction of the process itself (e.g., 'the data just doesn't want to line up'). She avoids saying 'I don't know' and instead pivots to 'Let me verify that source.'