Business Performance Optimisation

Services Sector SMEs

Stop Guessing. Start Knowing. Accelerate Results.

Business outcomes – revenue growth, better margins, and delighted customers are what really matter – these are the rocket fuel for your business.

Eventus.do embrace human knowhow and market leading causal technology to understand what drives what across your business, up and out to the outcomes that matter.

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ēventūs Latin: m (genitive ēventūs); outcome, consequence, result​

The Great British Reality Check

UK B2B SMEs are nothing if not optimistic. The stats tell an interesting story:

89% are pumped about growing in 2025

85% see sunshine and rainbows for the next five years

But wait... only 29% grew in 2024

Ouch. That’s a 60-point gap between dreams and reality.

And here’s the kicker: 90% of businesses say they’re laser-focused on profit, with 43% specifically obsessing over cost efficiency. So, everyone wants the right outcomes. They’re just struggling to connect the dots between daily operations and the outcomes that matter.

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What We Do

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EVENTUS.DO

How We Help You

We build a causal model of your business, delivering a clear understanding of ‘what drives what’, up and out to the outcomes that matter
⁠⁠In 8 to 12 weeks, we use this model to deliver a business baseline – clarity on how your business is operating today and the opportunities for improvement – the Hypotheses
⁠Through each Hypothesis, we deploy insights and decision making frameworks across your teams – engaging and energising the whole team in the achievement of the outcomes that matter.
We work with you over time, making the changes required to maximise performance and accelerate results.

Stop guessing. Start knowing. Accelerate results.

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RESULTS

Our Latest SME Service Industry

%

YoY revenue improvement

%

YoY margin improvement

Quick win hypotheses

Contact us to find out how

Common Business Challenges

Tech Integrator

Despite technology being at the forefront of business transformation and change, service centric, technology businesses struggle to evidence the value they deliver to their business customers.

Business Transformer

The pace of digital disruption, resistance to change, and the complexity of cross-functional initiatives create difficulties in validating and evidencing measurable business results, proving tangible ROI.

Sales Performance

The complexity of B2B sales cycles, combined with multiple touchpoints, diverse service offerings, and evolving customer expectations, means challenges in validating and evidencing improvements in sales effectiveness.

Mergers & Acquisitions

M&A transaction complexity creates difficulties in achieving deal success, optimising integration strategies to maximise value, and evidencing the achievement of the value originally expected.

Portfolio Management

Pressure to deliver the expected returns, diverse businesses focus, and changing conditions, creates significant challenges in achieving clear value from key improvement initiatives.

The Problem of Why

Traditional business consulting can’t answer these questions because they’re not correlation problems—they’re causation puzzles that require business performance thinking.

HOW CAUSAL CAN HELP

The Power of Cause & Effect

Revenue Growth Optimisation

  • Identify the true drivers of client value variations across different service lines (10-25% revenue increases worth £100K-£500K+ annually)
  • Optimise pricing strategies vs. customer lifetime value for maximum profitability
  • Predict and prevent revenue leakage from client churn and service delivery inefficiencies

Operational Excellence

  • Model “what-if” scenarios for process automation investments under changing market conditions
  • Understand which operational improvements actually impact bottom-line results versus busy work
  • Optimise resource allocation across projects, teams, and service delivery for measurable efficiency gains

Strategic Decision Making

  • Separate controllable business factors from external market constraints in performance analysis
  • Model complex interactions between team performance, client satisfaction, and financial outcomes
  • Predict cascade effects of strategic changes on your service business performance

Investment Confidence

  • Make 3-5 year strategic decisions with data-driven frameworks instead of correlation guesswork
  • Understand why some service businesses thrive while others struggle in identical market conditions

THE EVENTUS MAGIC

Embedding visual insights & decision frameworks

Specific insights to drive new behaviour
Linking roles & teams to the outcomes they are achieving
Making decisions based on the impact on outcomes
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Esg Dashboard

OUR Process

Human Expertise + Advanced Methodology = Actionable Insights

Style Process George
Phase 1: Get your baseline (6-8 weeks)

The first step is to ensure we have a comprehensive, detailed, view of your business today - the baseline. We'll thoroughly understand your strategy, how you operate, what outcomes matter, and the goals you want to achieve.

We create a set of 'hypotheses', mapped to your outcomes.

We get to these by deep domain knowledge and research including interviews with you and your team plus real business data. These hypotheses inform a Causal Model—to understand the cause-and-effect relationships across your business.

Phase 2: Use case sprints (Onward)

The Causal Model drives everything from here. We define, test and deploy improvement Use Cases in focused sprints. Each use case introduces the right insights and decision frameworks to achieve, for example:

  1. The revenue or margin potential of targeted changes
  2. Real-time monitoring of improvements achieved
  3. Iterative refinement over time (feedback loops)

Working in sprints means improvements happen systematically, with clear measurement of impact.

Testimonials

Our Customers

Clarity on what actually matters, coupled with savvy application of technology has delivered multiple millions of new revenues & savings for our customers

 

Jim Bennett – Making it happen through high-performance teams

I get it. Next level analytics – reporting and forecasting.

 

Royal Mail

“Accelerating Business Performance”

“I worked with George and his team at Telefonica Tech UK, where their outcome-led approach was instrumental in helping us achieve the profitable growth we delivered during my time as CEO.

George applied an outcome-led approach for the businesses he has led as CEO to accelerate performance and has then transferred this know-how to the client businesses he works with. This gave me great confidence in the approach and the results that can be achieved.

They’re worth talking to if you’re looking to drive your business to the next stage.”

Martin Hess Former CEO, Telefonica Tech UK

FAQs

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How is performance optimisation different from traditional UK business consulting?
Traditional business consulting tells you what might improve based on best practices. Causal Modelling tells you why things work in your specific conditions and what actions will deliver measurable results. It’s the difference between correlation and causation in service business improvement.
I have plenty of analytics and dashboards - why do I need another one?
We have found that UK SMEs have plenty of dashboards, but are measuring the wrong thing. Classical analytics cannot tell the future and misses everything about causes – the WHY. Analytics software excels at finding patterns but struggles with complex service industry knowledge and causal reasoning. Causal modelling means understanding client behaviour, team dynamics, market conditions, and operational constraints that human expertise provides.
How much business data do you need?
That’s the beauty of causal business analytics applications—we can work with limited data by incorporating domain knowledge and industry constraints. We also pull in meta data such as the wider economic trends that may have an impact on your bottom line. Traditional analytics needs massive datasets; we can provide insights even for emerging UK service models and market conditions.
What's the typical timeline for results from Causal Modelling?
Initial insights often emerge quickly. We start with a baseline which takes 6-8 weeks per project. However optimised outcomes and hypotheses start to emerge almost immediately. For our first B2B Service based SME action happened within 2 weeks which impacted profitability straight away. Full optimisation is typically realised over 3-12 months as we refine models based on real-world outcomes and feedback loops. In other words we plan and hypothesise, we action together, and we review results.
How do you handle rapidly changing UK business conditions and market dynamics?
Our performance optimisation models explicitly incorporate wider market variables and can simulate different business scenarios, helping you prepare for multiple futures rather than extrapolating from past performance alone. For example what might happen with an economic downturn or if we increased marketing or training spend.
How do you handle rapidly changing UK environmental regulations and policies?
Our causal models environmental investments explicitly incorporate UK policy variables and can simulate different regulatory scenarios, helping you prepare for multiple futures including Nature Recovery Network developments rather than extrapolating from the past.
What size UK service businesses do you work on?
We focus on £1M+ revenue UK SMEs with substantial enough operations to generate meaningful ROI from optimisation—typically £200K+ annual operational costs across service delivery, client management, and business development.
How do you prove ROI for UK service companies?
We establish baseline measurements before intervention and track improvements through agreed KPIs relevant to UK service markets. ROI is achieved over the year through increased revenue, optimisation gains and improved operational efficiency.
Can you work with existing UK service business systems?
Yes, we integrate with existing CRM, ERP, project management, and bespoke service delivery systems. Our approach enhances rather than replaces your current business intelligence capabilities.
Why wont Ai solve my business problems
Ai can help on many levels – most importantly when it comes to summarising huge data and speeding up repetitive tasks. But Ai will not be able to tell you the Why – the causes. Instead it is great at looking at and recognising patterns (such as what word I am likely to type next). We use AI for deep research, to clean up and interrogate data, and to speed up our process and delivery. The causal algorithms we use are actually just maths based on open-source libraries.
Why have I never heard of Causal Modelling?
A great question. Causal Modelling has been around since the early 1990s and is a way to augment classical statistical models to answer the why. Many people who use dashboards and analytics every day are not aware that correlation does not equal causation. As of now causal modelling and DAGs has only surfaced in academic circles and in some huge, forward thinking companies such as Uber, Google or IBM. Causal methods are now coming to the fore in many sectors, but are critical to the improvements in robotics and Ai.