Software Alternatives, Accelerators & Startups

VisualDNA VS Split Fee

Compare VisualDNA VS Split Fee and see what are their differences

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VisualDNA logo VisualDNA

VisualDNA combines psychology and big data to allow businesses to understand their customers and people to understand themselves.

Split Fee logo Split Fee

Split Fee connects UK recruitment agencies to collaborate on permanent placements. Share candidates and vacancies, match automatically, and split the fee.
  • VisualDNA Landing page
    Landing page //
    2023-07-25
  • Split Fee Login screen
    Login screen //
    2026-03-16
  • Split Fee Dashboard page
    Dashboard page //
    2026-03-16

Split Fee is a platform for UK recruitment agencies to collaborate on permanent placements.

Every agency has candidates they can't place and vacancies they can't fill. Another agency almost certainly has what you need โ€” but finding them, trusting them, and making the collaboration work has always been the hard part.

Split Fee solves this. Post your candidates and vacancies to the platform. Our matching algorithm finds opportunities across every agency on the network โ€” by skills, location, salary, and seniority. Candidate and client data stays anonymised until both sides agree to work together. When a placement is made, we handle the fee split and invoicing automatically.

No more posting in social media groups and hoping someone replies. No more sharing candidate details with strangers on trust alone. No more chasing invoices from agencies you barely know.

45% for you. 45% for them. 10% platform fee โ€” only when a placement is made.

Half of a placement fee is infinitely better than none of it.

Split Fee

$ Details
freemium ยฃ97.0 / Monthly
Release Date
2026 March
Startup details
Country
United Kingdom
Founder(s)
Abbie Taylor
Employees
1 - 9

VisualDNA features and specs

  • Comprehensive Consumer Insights
    VisualDNA provides detailed insights into consumer personalities and behaviors through psychographic data, aiding businesses in understanding their audience better.
  • Engaging User Experience
    The interactive quizzes and activities used by VisualDNA to gather data offer an engaging way for users to share information, which can lead to richer data sets.
  • Data-Driven Marketing
    Businesses can leverage VisualDNA's data to tailor their marketing strategies more effectively, leading to potentially higher customer engagement and conversion rates.
  • Broad Application Scope
    The insights provided by VisualDNA can be applied across various industries, from e-commerce to finance, making it a versatile tool for multiple business types.

Possible disadvantages of VisualDNA

  • Privacy Concerns
    Collecting detailed psychographic data may raise privacy issues among users, as they might be uncomfortable with how their data is used.
  • Dependence on User Interaction
    The effectiveness of VisualDNA's data collection relies heavily on active user participation, which might result in skewed data if user engagement is low.
  • Data Interpretation Complexity
    Interpreting psychographic data requires specialized knowledge, and businesses may need to invest in training or consultancy services to make effective use of the insights.
  • Cost Implications
    Utilizing VisualDNA's services might incur significant costs, which could be a barrier for small businesses or startups with limited budgets.

Split Fee features and specs

No features have been listed yet.

Analysis of VisualDNA

Overall verdict

  • VisualDNA is generally considered a strong tool for businesses looking to enhance their marketing capabilities through detailed consumer insights. However, the effectiveness of the service can depend on the specific needs and context of the business.

Why this product is good

  • VisualDNA is known for its advanced psychographic profiling technology, which helps brands understand their customers on a deeper level. By analyzing online behavioral data, VisualDNA can provide insights into consumer preferences, improving targeted marketing strategies.

Recommended for

    Businesses that require detailed consumer profiling, especially those focused on personalized marketing and advertising strategies. It is also useful for companies that want to understand the psychological traits of their audience.

Analysis of Split Fee

Overall verdict

  • Split Fee (split-fee.com) appears to be a niche referral/fee-splitting platform aimed at connecting professionalsโ€”likely in real estate, legal, or brokerage-type industriesโ€”to share commissions on referred deals. Without independent reviews or verified track record widely available, it should be approached with due diligence, but the concept itself addresses a real market need for structured referral partnerships.

Why this product is good

  • Provides a structured framework for professionals to formally split fees or commissions on referred business
  • Can help expand referral networks beyond one's immediate contacts or region
  • May reduce disputes over referral agreements by formalizing terms upfront
  • Potentially useful for professionals who receive occasional out-of-market or out-of-expertise leads they want to monetize

Recommended for

  • Real estate agents or brokers looking to refer out-of-area clients
  • Legal or financial professionals wanting to formalize referral fee arrangements
  • Freelancers or consultants who want to monetize leads outside their expertise
  • Small firms seeking to expand reach through partner referral networks

VisualDNA videos

How the "Who Am I - VisualDNA test" WORKS?

Split Fee videos

No Split Fee videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to VisualDNA and Split Fee)
Reputation Management
100 100%
0% 0
Recruitment Solutions
0 0%
100% 100
Digital Marketing Services
Recruitment
0 0%
100% 100

Questions & Answers

As answered by people managing VisualDNA and Split Fee.

Which are the primary technologies used for building your product?

Split Fee's answer:

A next-generation serverless platform, built for AWS.

What makes your product unique?

Split Fee's answer:

Split Fee is the first purpose-built platform for split fee recruitment in the UK. Instead of relying on LinkedIn groups, WhatsApp messages, and manual agreements, agencies upload their candidates and vacancies and the platform automatically matches them across agencies.

Candidate identities are revealed gradually; anonymised at first, then progressively disclosed as both sides accept, so agencies can collaborate without the risk of circumvention.

Why should a person choose your product over its competitors?

Split Fee's answer:

Most "split fee networks" are just directories or social groups where agencies post and hope someone responds. Split Fee is an actual matching engine. It scores candidate-vacancy pairs, handles the legal agreements (non-circumvention, self-billing), automates invoicing and fee splits, and manages the entire placement lifecycle from match to payment. Everything that normally requires trust, phone calls, and spreadsheets is handled by the platform.

How would you describe the primary audience of your product?

Split Fee's answer:

UK recruitment agencies; from boutique firms with a handful of consultants to mid-sized agencies with specialist sector coverage. Any agency that has either strong candidates without the right vacancies, or client vacancies they can't fill from their own candidate pool. Split Fee turns those dormant assets into placements.

What's the story behind your product?

Split Fee's answer:

Abbie, our founder, knew that although split fee arrangements have existed in recruitment for decades, the process has always been manual: find a partner agency, negotiate terms, trust them with your candidate data, chase invoices. Most agencies avoid it because the overhead and risk outweigh the reward. Abbie built Split Fee to remove that friction entirely, with automated matching, progressive identity disclosure, built-in legal agreements, and automated billing, making split placements as straightforward as direct ones.

User comments

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