10 fictional AI personas. Exploratory perspectives, not a survey of real customers. Methodology & limitations

Ted Kuhn

Ted Kuhn

Growth marketing manager

Full-depth AI personas

Why this persona fits the audience

Leads a 5-person marketing team at a B2B SaaS company in Bristol and uses browser workflows to pull webinar registrant pages, partner directory entries, and competitor ad library data into shared sheets. The team currently pays for a cloud-based automation and scraping subscription, which is used alongside internal reporting.

  • Age: 38
  • Location: Bristol, UK
  • Occupation: Growth marketing manager
  • Income: £64k
  • Education: BA in communications
  • Company size: Approx. 150 employees
  • Years in role: 4
“If we can't measure it, we can't improve it, and if it's taking us ages to measure, we're already behind.”

Ted Kuhn, 38, has carved out a niche for himself as a Growth Marketing Manager at a thriving B2B SaaS company based in Bristol. His journey into marketing wasn't a straight line; after completing a BA in Communications, he spent a few years in agency roles, honing his skills in digital campaign execution and client management. This experience instilled in him a deep appreciation for measurable results and the importance of efficient workflows. He transitioned to the client-side, seeking more direct impact, and found his home at his current company four years ago. He leads a team of five, fostering a collaborative environment where data analysis and experimentation are paramount. Ted's personal life is anchored by his wife, Sarah, and their young daughter, Emily. He views his income of £64k as comfortable, allowing for a stable family life and occasional modest splurges, but he's always conscious of financial prudence, particularly with rising costs. His approach to work is heavily influenced by his values of efficiency and team leverage; he despises wasted time and effort. This is evident in his current reliance on browser workflows to extract crucial data – webinar registrations, partner directory details, competitor ad libraries – feeding it all into shared spreadsheets. While this manual-ish process works, it's a constant source of friction. The team's existing cloud-based automation and scraping subscription is a necessary evil, a significant expense that Ted feels could be better optimised or replaced. He's recently been exploring alternatives, driven by a desire to reduce costs and gain more control over their data extraction and automation processes, without compromising the team's ability to generate insights and drive growth experiments. He sees this as a critical area for improvement, directly impacting his team's productivity and his own accountability for delivering growth metrics.

Background & daily life

A day in their life

Ted's day typically starts around 7:00 AM with a quick check of urgent emails and Slack messages before his daughter wakes up. After the school run, he's at his desk by 9:00 AM. The morning is often spent in team stand-ups, reviewing campaign performance dashboards, and planning out the day's priorities. He'll dedicate a block of time to working on a specific growth experiment or analysing competitor activity, often using browser workflows to pull data into spreadsheets. Lunch is usually a quick affair at his desk. Afternoons involve more meetings, often with sales or product teams, and providing feedback to his direct reports. He aims to wrap up by 5:30 PM to collect Emily from after-school club, but sometimes stays later if a critical task requires it.

Lifestyle

Ted lives in a semi-detached house in a suburb of Bristol with his wife, Sarah, a primary school teacher, and their seven-year-old daughter, Emily. Weekday evenings are a structured blend of Emily's homework and dinner, followed by Ted often checking emails or planning the next day. Weekends involve family outings, perhaps a walk along the coast or visiting a local park, interspersed with occasional DIY projects around the house. He's mindful of their finances, aiming for a comfortable but not extravagant lifestyle, prioritising experiences and Emily's education. He tries to fit in a run three times a week, usually early mornings before work.

Work life

As a Growth Marketing Manager, Ted juggles team leadership with hands-on execution. His primary focus is driving measurable growth for their B2B SaaS product. He spends a significant portion of his day analysing campaign performance, ideating new growth experiments, and overseeing his team's efforts. The team relies heavily on their current cloud-based automation and scraping subscription for tasks like pulling webinar registrant data and competitor ad library information, integrating this with internal reporting. He's constantly looking for ways to streamline these processes and ensure his team is leveraging their tools effectively to maximise output and demonstrate ROI.

Relationships

Ted is married to Sarah, who provides a grounding influence and a different perspective on daily life. They discuss work challenges but mostly focus on family matters. His team of five marketing specialists are his primary work collaborators; he values their input and trusts their expertise. He has a good working relationship with the Head of Sales, Mark, often sharing insights on lead quality and campaign effectiveness.

How they decide

Ted is a research-driven decision-maker, particularly when it comes to tools or significant process changes. He'll gather data, consult with his team, and weigh the pros and cons methodically. He's not impulsive but will act decisively once he's confident in the direction. He values peer recommendations within his professional network but ultimately relies on his own analysis and the potential impact on his team's efficiency and company growth.

How they sound

Speaks clearly and at a moderate pace, with a slight West Country lilt that surfaces when he's relaxed. Tends to use business-appropriate language but isn't overly formal. Avoids jargon where possible, preferring direct explanations. Might use phrases like 'right, so...', 'the crux of it is...', or 'we need to get a handle on this'. Can sound slightly exasperated when discussing inefficient processes.

Personality traits

  • Analytical
  • Proactive
  • Organised
  • Resourceful
  • Detail-oriented
  • Slightly impatient with inefficiency
  • Collaborative
  • Pragmatic

Goals

  • Increase qualified lead generation by 20% next quarter
  • Develop and mentor his marketing team for career progression
  • Successfully implement a new A/B testing framework across key landing pages
  • Achieve a better work-life balance without sacrificing team performance
  • Become a recognised expert in B2B SaaS growth marketing

Problems & frictions

  • The current cloud scraping tool is expensive and sometimes has limitations on data volume or speed.
  • Manually consolidating data from various sources is time-consuming and prone to errors.
  • Ensuring consistent data quality across different marketing channels.
  • Balancing the need for rapid experimentation with maintaining brand consistency.
  • Keeping up with the ever-evolving landscape of digital marketing tools and tactics.
  • Limited budget for new marketing technology investments.

Values

  • efficiency
  • team leverage
  • accountability
  • data-driven decisions
  • continuous improvement

Interests

  • growth experiments
  • competitive research
  • marketing automation
  • SEO trends
  • product-led growth strategies

Media habits

  • Listens to marketing podcasts during commute
  • Reads industry blogs (e.g., HubSpot, Moz)
  • Follows key marketing influencers on LinkedIn
  • Subscribes to newsletters on growth hacking
  • Watches YouTube tutorials for new tools

Questions & answers

Ted Kuhn’s public research answers, newest questions first. Up to 10 per page.

  1. Think about your own work or business in this area: the product is a desktop no-code app for visual web scraping and browser automation. What is the single biggest problem you have there right now? Be specific about what it costs you (time, money, customers) and what you have already tried.

    Right, so a desktop app for visual scraping and automation? The biggest headache we have is with our current cloud solution. It’s a significant chunk of our budget each month, and frankly, it’s not always reliable – data pulls can be slow, and we hit limits more often than I'd like. We’re spending far too much time manually cleaning and consolidating data from various sources into spreadsheets, which is prone to errors and really slows down our experimentation cycle. I’ve tried optimising our current workflows, but it’s like patching a leaky boat. What I need is something that’s more robust, cost-effective, and gives us better control without requiring a whole new skillset for the team.
    View answer & full research →
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