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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.
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Split Fee's answer:
A next-generation serverless platform, built for AWS.
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.
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.
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.
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.
Based on our record, Tableau Public seems to be more popular. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Now, if you do want to play around with data visualizations, you can do that for free with Tableau Public https://public.tableau.com/en-us/s/. Source: about 4 years ago
Tableau Public - https://public.tableau.com/en-us/s/. Source: about 4 years ago
Tableau and PowerBI are generally viewed as industry standard tools. The good news is you have free options for both! Tableau Public and PowerBI Desktop are what you're looking for. Try them out and pick which one you like more. The skills are pretty transferable once you master the basics. As far as python ML tools, ones that pop up pretty frequently are scikit-learn (questionable math notwithstanding), XGBoost,... Source: over 4 years ago
I played with the idea of doing something similar and putting it all in Google Sheets (https://www.google.com/sheets/about/) so I could visualize it all in Tableau Public (https://public.tableau.com/en-us/s/). Source: over 4 years ago
I record everything in a spreadsheet and then built a set of dashboards using Tableau. Took a bit to get set up, but once I had it, I can produce the summary in a few minutes. Here's an example of my weekly summary. If you're interested, happy to send you the Tableau workbook so you can take a look. Source: over 4 years ago
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