Why this persona fits the audience
She is the only growth marketer at a 40-person B2B SaaS in Chicago, publishes about two blog posts a week, reviews Google Search Console and GA4, and keeps a spreadsheet of brand mentions in ChatGPT and Perplexity answers for monthly reporting to the founders.
- Age: 31
- Location: Chicago, Illinois, US
- Occupation: Growth marketing manager
- Income: $115k
- Education: Master's degree
- Company size: 40 employees
- Years in role: 3 years
“My job is to connect the dots between what we're building and the people who need it, using data as my guide.”
Kim Rohan, 31, is a highly analytical and driven Growth Marketing Manager at a burgeoning B2B SaaS company in Chicago. Holding a Master's degree in Marketing, she's carved out a critical niche for herself as the sole growth marketer within her 40-person organization. Her professional journey has been characterized by a relentless pursuit of data-backed strategies and a commitment to continuous learning. Kim's approach is hands-on and deeply analytical; she spends a significant portion of her workweek meticulously scrutinizing Google Search Console and GA4 data, identifying patterns and opportunities for organic growth. Her unique responsibility includes monitoring AI content generation tools like ChatGPT and Perplexity for brand mentions, a task she manages via a detailed spreadsheet that forms the backbone of her monthly founder reports. This meticulous attention to detail and her proactive stance in tracking emerging marketing channels underscore her dedication to demonstrating tangible impact. Kim prioritizes clarity and accountability, believing that well-defined metrics are essential for driving business outcomes. She lives by a principle of efficiency, meticulously planning her personal life to maximize her professional output, whether it's through rigorous meal prepping to save time or dedicating early mornings to her running regimen. Her financial philosophy is one of disciplined saving, aiming for long-term stability while investing in her career development. She views time as a valuable, finite resource, constantly seeking ways to optimize her workflows and personal routines to stay ahead in the fast-paced SaaS landscape. Recently, she's been experimenting with new AI prompting techniques to improve the efficiency of her content ideation and keyword research, aiming to scale her content output without compromising quality.
Background & daily life
A day in their life
Kim's typical weekday begins around 6:00 AM with a run or a quick workout, followed by coffee and reviewing overnight marketing performance dashboards. She's usually at her desk by 8:30 AM, tackling her most demanding tasks first—often deep dives into GA4 or drafting a blog post. Mid-morning involves a team stand-up and responding to urgent requests from sales. Afternoons are a mix of content editing, analyzing AI tool outputs, updating her brand mention spreadsheet, and planning future content. She aims to wrap up by 6:00 PM, often spending the evening meal prepping or catching up on industry articles before winding down.
Lifestyle
Kim lives in a rented two-bedroom apartment in Chicago's Lakeview neighborhood, sharing it with her cat, Milo. Her weekdays are structured around her demanding role. Evenings often involve prepping healthy meals for the week to save time and ensure she eats well amidst her busy schedule. She dedicates early mornings or weekends to her running routine, often training for local 10Ks. Financially, she's responsible, focusing on saving for a down payment on a condo and contributing consistently to her retirement fund. Socially, she enjoys occasional dinners with close friends or colleagues but prioritizes her personal time for recharge.
Work life
As the sole growth marketer at her 40-person B2B SaaS company, Kim wears many hats. Her days are a constant juggle between content creation, data analysis, and strategic planning. She spends significant time in Google Analytics 4 and Google Search Console, dissecting user behavior and organic search performance. She meticulously tracks brand mentions across AI platforms like ChatGPT and Perplexity, compiling this into a weekly spreadsheet for her founders. The pressure to demonstrate measurable growth with limited resources is ever-present, pushing her to be highly efficient and experimental.
Relationships
Kim has a close relationship with her parents, who live in a suburb outside of Chicago, and checks in with them weekly. Her core friend group consists of about five people she's known since her Master's program, with whom she shares life updates and occasional outings. At work, she has a good rapport with the engineering and sales teams, who provide crucial input for her marketing efforts.
How they decide
Kim is a research-heavy decision-maker, heavily reliant on data, performance metrics, and case studies. She prefers to understand the 'why' and 'how' behind any proposed strategy or tool before committing resources. She values clear, quantifiable outcomes and will compare multiple options thoroughly, often creating pros and cons lists or spreadsheets to evaluate them.
How they sound
Kim speaks with a clear, measured cadence. She's articulate and precise, preferring to use specific terminology related to marketing and analytics. She avoids excessive jargon or hyperbole, focusing on factual reporting. Her tone is generally professional and optimistic, but she can convey a sense of controlled urgency when discussing critical growth metrics or project deadlines. She uses common professional slang sparingly, if at all.
Personality traits
- Analytical
- Data-driven
- Resourceful
- Organized
- Proactive
- Detail-oriented
- Independent
- Adaptable
Goals
- Become a recognized thought leader in AI-driven B2B SaaS marketing
- Secure a promotion to Marketing Director within the next five years
- Develop a scalable, data-informed growth engine for her company
- Achieve a better work-life balance without sacrificing career momentum
- Own a condo in a walkable Chicago neighborhood
Problems & frictions
- Proving ROI for content marketing initiatives to non-technical founders
- Limited budget and headcount for hiring specialized marketing support
- Keeping pace with the rapid evolution of AI in search and content
- Managing multiple complex projects simultaneously with no direct reports
- Finding reliable, high-quality data sources for competitive analysis
Values
- clarity
- accountability
- learning
- impact
- efficiency
Interests
- content strategy
- SaaS analytics
- running
- meal prep
- AI in marketing
- productivity hacks
Media habits
- Reads industry blogs (e.g., HubSpot, Moz, Search Engine Journal)
- Listens to marketing podcasts during commutes or runs
- Follows key marketing influencers on LinkedIn
- Uses AI tools for content ideation and summarization
- Checks tech news summaries daily