Revenue & Growth

Grow revenue without growing the sales team.

Senior practitioners embed in your team and ship working AI on the data you already hold, a proof of concept in 2–4 weeks.

Proof · Heatable
48%
of inbound aftercare resolved without a ticket
7.86x
targeting lift at Stiltz, validated on live campaigns
2–4 wks
from kickoff to a working proof of concept on your data
51.4°N · 0.1°W
Trusted by growing UK businesses
Heatable
Freddie's Flowers
Stiltz
Resi
Equals Group
Panmure Liberum
Where revenue leaks

Where is your revenue leaking?

Most mid-market revenue problems aren’t a lead-generation problem. They’re a prioritisation, retention and leverage problem, and all three are solvable with data you already hold.

Leak 01
Every lead treated the same.
"Our reps chase every enquiry with equal effort." Without prioritisation, the best leads go cold while time is spent on prospects that will never close.
Leak 02
Churn you only see in hindsight.
"We don’t know a customer is leaving until they’ve gone." Retention is cheaper than acquisition, but only if you can predict it.
Leak 03
Growth that costs margin.
"Hitting target means hiring more people." When revenue and headcount rise together, scale never improves the bottom line.
The Revenue Intelligence Stack

How does Fifty One Degrees grow revenue with AI?

Fifty One Degrees builds AI that grows revenue without adding headcount. The Revenue Intelligence Stack is its three-layer revenue architecture: senior practitioners turn your sales, product and customer data into predictive lead scoring, churn prevention and automated qualification. A Data Foundation feeds Predictive Intelligence, which drives AI Automation, and each layer earns its place by moving a number.

01
Data Foundation
Unify CRM, product, marketing and finance data into one trustworthy source. Predictions are only as good as the data underneath them.
02
Predictive Intelligence
Models that score leads, predict churn and forecast demand, so the business acts on what is likely to happen rather than what already has. Built as predictive lead scoring.
03
AI Automation
Agents that act on the predictions in real time: qualifying inbound, following up, updating the CRM and routing the best opportunities to people. Delivered with AI agents.
What we build

What does Fifty One Degrees build for revenue teams?

Predictive lead scoring and prioritisation
Score every inbound lead on likelihood to convert, so reps spend their hours on the opportunities that close, built on your own pipeline history.
Churn prediction and retention
Identify the customers most likely to lapse, early enough to act, and trigger the right intervention automatically.
Automated qualification and follow-up
AI agents qualify inbound, answer first questions, book meetings and keep the CRM current.
Measured outcomes

What revenue results has Fifty One Degrees delivered?

48%
of inbound aftercare resolved without a ticket at Heatable
7.86x
targeting lift at Stiltz, validated on live direct mail campaigns
98%
of Our Taap's acquisition spend attributed against real orders
2–4 wks
from kickoff to a working proof of concept on your data
Case study · Heatable

Heatable: growth that stopped meaning more hires

SituationHeatable, one of the UK’s most profitable online home installation platforms, was scaling inbound aftercare and solar paperwork on headcount.
ApproachFifty One Degrees embedded with the team and shipped two custom AI agents into production, working open-book so Heatable owns the code.
SolutionAn aftercare agent resolves routine cases end to end; a solar agent auto-drafts the grid paperwork behind every installation.
Outcome48% of inbound aftercare is resolved without a ticket, and around 70% of a project manager’s certification paperwork is auto-drafted.
“We couldn’t live without the agents Fifty One Degrees built.”Heatable team
Read the Heatable story →
Heatable engagement
Fit

Who is this for?

01Commercial leaders carrying a revenue number without the budget to keep hiring.
02B2B sales teams with more inbound than they can work well.
03Subscription and retention-led businesses where churn is the hidden tax.
04Mid-market firms that have the data but not the in-house data science to use it.
Why trust us
Why trust Fifty One Degrees with revenue?

Fifty One Degrees’ founders have grown revenue at scale, not just advised on it. Nick Harding founded fintech lender Fluro and scaled it to process 4 million credit applications per year before a private equity exit. Mark Somers built 4most into the UK’s largest independent credit risk and analytics consultancy.

About Fifty One Degrees →
How it runs

How does a revenue engagement run?

We ship working software, not a strategy deck. KPIs are agreed on day one, against your real pipeline.

Weeks 1–4
Proof of concept
Against your real pipeline, with agreed KPIs from day one.
Weeks 4–8
Beta hardening
In your live environment, integrated with your existing stack.
Then
Scale
Volume scaled, with your team trained to own what we built.
FAQ

Questions revenue leaders ask Fifty One Degrees

What's the best way to use AI for sales lead scoring and prioritisation?

Score leads on your own conversion history, not generic rules. Fifty One Degrees builds a predictive model on your CRM and pipeline data that ranks every inbound lead by likelihood to close, then has AI agents route and follow up automatically. It is the Predictive Intelligence layer of The Revenue Intelligence Stack, and it ships as a working proof of concept in 2–4 weeks on your data.

How can AI grow revenue without adding sales headcount?

By making the team you have more effective and automating the work that doesn't need a person. Fifty One Degrees prioritises the best leads, predicts churn before it happens, and uses AI agents to qualify and follow up, so revenue rises without payroll rising. At Heatable, 48% of inbound aftercare is resolved without a ticket ever reaching the team.

Can AI predict customer churn for a mid-market business?

Yes, if you have a reasonable history of customer behaviour. Fifty One Degrees builds churn models that flag at-risk accounts early enough to act, then triggers the right retention step automatically. Across Fifty One Degrees engagements, churn reduction of around 40% has been delivered this way.

How quickly will we see a revenue impact?

A working proof of concept ships in 2–4 weeks against your real data, with KPIs agreed up front, so the first signal comes inside the first month. Production deployment typically follows in 8–16 weeks.

Do we need a data team or clean data first?

No. The Data Foundation layer is part of the work. Fifty One Degrees unifies and cleans the data as the first step, so you don't need an in-house data team to start.

Next step

Ready to make revenue predictable?

Book a 30-minute discovery call. We’ll map your pipeline, find the highest-impact revenue use case, and show you what a proof of concept would prove.