Use Cases

Grow customer spend

Use small, evidence-based changes to unlock higher spend and stronger margins.

Use Cases

Grow customer spend

Use small, evidence-based changes to unlock higher spend and stronger margins.

Use Cases

Grow customer spend

Use small, evidence-based changes to unlock higher spend and stronger margins.

Are you leaving money on the table?

Are you leaving money on the table?

Are you leaving money on the table?

You’re under pressure to grow customer spend or improve margin, but nothing seems to shift these metrics in a meaningful, predictable way.

You’ve tried the usual moves

You’ve tried promotions, bundles, loyalty schemes, and even a rebrand.

They create short-term spikes, but nothing that lasts.

Why? Because most initiatives target the transaction, not the behaviour behind it.

Spend often doesn’t flatten because of one obvious problem.

It’s usually the result of small, invisible moments where customer motivation and the offer fall out of sync.

Customers are overwhelmed by choice.

High-margin products don’t get noticed.

In trying to please everyone, the journey stops guiding anyone.

We help you identify the points in the customer journey where small cues can shift what people buy and how much they spend — lifting both spend and satisfaction.

What's the solution?

Do channel optimisation differently.

Do channel optimisation differently.

Do channel optimisation differently.

At Sprint Valley, we help you grow customer spend across customer-facing channels. We look beyond what customers buy to understand why. Then we design and test interventions that make those moments easier, faster, and more rewarding.

Talk to an expert

Talk to an expert

Talk to an expert

Meet our team

Meet our team

Meet our team

Find high-value opportunities

Identify products, messages, or journeys with the greatest potential for uplift.

Find high-value opportunities

Identify products, messages, or journeys with the greatest potential for uplift.

Find high-value opportunities

Identify products, messages, or journeys with the greatest potential for uplift.

Understand buyer behaviour

Decode the behavioural patterns shaping real customer choices.

Understand buyer behaviour

Decode the behavioural patterns shaping real customer choices.

Understand buyer behaviour

Decode the behavioural patterns shaping real customer choices.

Prove what works

Design and run in-market experiments to test which changes truly move the metric.

Prove what works

Design and run in-market experiments to test which changes truly move the metric.

Prove what works

Design and run in-market experiments to test which changes truly move the metric.

Scale success

Build practical playbooks so your teams can replicate results across regions, segments, and touchpoints.

Scale success

Build practical playbooks so your teams can replicate results across regions, segments, and touchpoints.

Scale success

Build practical playbooks so your teams can replicate results across regions, segments, and touchpoints.

How we shift customer spend, consistently.

How we shift customer spend, consistently.

How we shift customer spend, consistently.

We decode customer behaviour, then help you present choices in a way that matches how they buy.

Data Analysis

We uncover high-margin, high-growth opportunities hiding in your sales, customer, or channel data.

Learn more about our approach

Data Analysis

We uncover high-margin, high-growth opportunities hiding in your sales, customer, or channel data.

Learn more about our approach

Data Analysis

We uncover high-margin, high-growth opportunities hiding in your sales, customer, or channel data.

Learn more about our approach

Behavioural Science

We uncover what actually drives customer decisions and how small cues shape what people choose to buy.

Learn more about our Behaviourial Science approach

Behavioural Science

We uncover what actually drives customer decisions and how small cues shape what people choose to buy.

Learn more about our Behaviourial Science approach

Behavioural Science

We uncover what actually drives customer decisions and how small cues shape what people choose to buy.

Learn more about our Behaviourial Science approach

Experimentation

We design, run, and analyse in-market tests that separate opinion from evidence.

See how we help Shift Performance

Experimentation

We design, run, and analyse in-market tests that separate opinion from evidence.

See how we help Shift Performance

Experimentation

We design, run, and analyse in-market tests that separate opinion from evidence.

See how we help Shift Performance

The Result?

The Result?

The Result?

Visible progress. Evidence-backed change.

How KFC Increased Average Order Value by 1.8% across Europe.

How KFC Increased Average Order Value by 1.8% across Europe.

How KFC Increased Average Order Value by 1.8% across Europe.

The team at KFC Europe was looking to optimise their kiosk channel following significant investment in technology. Franchises were ready to reap the rewards of their investment, but the business lacked a clear playbook for kiosk optimisation.

Our brief? Grow customer spend.

We set out on a mission was to find how customers make decisions in the kiosk, and find ways to grow spend through a mix of UI, UX and merchandising changes.

The answer was in small but powerful cues: where items appeared on screen, how they were sequenced, how the experience felt at the point of decision.

What happened? A 1-5% uplift in Average Order Value, a 16% increase in target product selection, and a 20% reduction in time to order. And perhaps most importantly, a playbook for scaling those learnings across markets.

Talk to an expert

Talk to an expert

Talk to an expert

Meet our team

Meet our team

Meet our team

Why our approach works anywhere customers buy.

Why our approach works anywhere customers buy.

Why our approach works anywhere customers buy.

Every business has its own products, channels, and language, but the way people make decisions is remarkably consistent.

Whether someone is choosing a meal, a product, or a plan, the same forces are at play:

Attention: Guide eyes towards higher-margin items without adding clutter.

Motivation: Framed options in ways that made upgrades feel natural and rewarding, not pushy.

Social context: Use visual cues like “Best Seller” tags to draw focus to popular, high-value items.

When those forces are aligned, spend rises naturally. When they’re not, no amount of promotion or pricing can fix it.

That’s why our work translates across categories — from retail and travel to subscription services and quick-service restaurants.

We focus on the universal patterns of human behaviour that drive commercial performance.

Our advantage isn’t deep industry familiarity; it’s fresh perspective on how people make buying decisions across categories.

We see what teams inside the category often can’t and help you act on what truly changes behaviour.

Frequently Asked Questions

If you can’t find what you need to below, then just view our other services or get in touch.

Talk to an expert

How long does an engagement like this take?

Most programmes run between 4 and 12 weeks, depending on scope and most clients choose to extend these projects to drive results further. We move quickly because the focus is narrow: identify high-impact opportunities, design interventions, and prove what works.

Who is typically involved in a project to grow customer spend?

We usually work directly with commercial, marketing, and digital leads — often those accountable for revenue or channel performance. For many clients, that’s a VP or Director-level sponsor supported by analysts, CX, or product teams.

We bring our own behavioural scientists, data specialists, and experiment designers who work alongside your teams.

That means we use your data, your systems, and your brand standards while adding the rigour, structure, and external perspective to accelerate progress.

When the programme ends, your team keeps both the results and the capability to keep running experiments in-house.

How do you mitigate the risk of in-market testing and experimentation?

The risk of doing nothing is almost always higher than the risk of testing. Even so, we design every experiment to deliver fast, reliable data while keeping exposure low and disruption minimal.

We start small, testing in a limited number of stores, channels, or markets. This gives teams the space to learn before scaling change.

We use control testing to ensure results are credible. We compare test and control groups so you know whether the change truly drove impact or not.

Each experiment is guided by a stop-or-scale rule: if the data shows a clear positive effect, we scale; if not, we stop, analyse the “why,” and refine the next test.

This structure keeps risk proportionate, cost under control, and every outcome — win or not — feeds back into a stronger, evidence-based growth model.

What’s the first step — a diagnostic, a workshop, or a full engagement?

It depends on where you are and how ready your teams are to move. Some clients are ready to go all in; others prefer to start small and build confidence through early results.

We’ll shape the right entry point for you, whether that’s a Discovery Sprint to surface immediate opportunities or a multi-market optimisation programme to scale proven interventions fast.

Contact us to request a bespoke proposal →

How do you prove ROI?

We build every experiment around hard commercial metrics — Average Order Value, conversion rate, margin contribution, and customer satisfaction — so impact is clear and measurable.

Performance is tracked through control testing, ensuring that any uplift is genuinely caused by the intervention, not external factors. Results are visualised in live data dashboards, with clear before-and-after comparisons.

Most clients see a measurable lift within 30–60 days. Each experiment adds to a growing evidence base, creating a playbook of proven levers your teams can keep applying to drive future growth.

Frequently Asked Questions

If you can’t find what you need to below, then just view our other services or get in touch.

Talk to an expert

How long does an engagement like this take?

Most programmes run between 4 and 12 weeks, depending on scope and most clients choose to extend these projects to drive results further. We move quickly because the focus is narrow: identify high-impact opportunities, design interventions, and prove what works.

Who is typically involved in a project to grow customer spend?

We usually work directly with commercial, marketing, and digital leads — often those accountable for revenue or channel performance. For many clients, that’s a VP or Director-level sponsor supported by analysts, CX, or product teams.

We bring our own behavioural scientists, data specialists, and experiment designers who work alongside your teams.

That means we use your data, your systems, and your brand standards while adding the rigour, structure, and external perspective to accelerate progress.

When the programme ends, your team keeps both the results and the capability to keep running experiments in-house.

How do you mitigate the risk of in-market testing and experimentation?

The risk of doing nothing is almost always higher than the risk of testing. Even so, we design every experiment to deliver fast, reliable data while keeping exposure low and disruption minimal.

We start small, testing in a limited number of stores, channels, or markets. This gives teams the space to learn before scaling change.

We use control testing to ensure results are credible. We compare test and control groups so you know whether the change truly drove impact or not.

Each experiment is guided by a stop-or-scale rule: if the data shows a clear positive effect, we scale; if not, we stop, analyse the “why,” and refine the next test.

This structure keeps risk proportionate, cost under control, and every outcome — win or not — feeds back into a stronger, evidence-based growth model.

What’s the first step — a diagnostic, a workshop, or a full engagement?

It depends on where you are and how ready your teams are to move. Some clients are ready to go all in; others prefer to start small and build confidence through early results.

We’ll shape the right entry point for you, whether that’s a Discovery Sprint to surface immediate opportunities or a multi-market optimisation programme to scale proven interventions fast.

Contact us to request a bespoke proposal →

How do you prove ROI?

We build every experiment around hard commercial metrics — Average Order Value, conversion rate, margin contribution, and customer satisfaction — so impact is clear and measurable.

Performance is tracked through control testing, ensuring that any uplift is genuinely caused by the intervention, not external factors. Results are visualised in live data dashboards, with clear before-and-after comparisons.

Most clients see a measurable lift within 30–60 days. Each experiment adds to a growing evidence base, creating a playbook of proven levers your teams can keep applying to drive future growth.

Frequently Asked Questions

If you can’t find what you need to below, then just view our other services or get in touch.

Talk to an expert

How long does an engagement like this take?

Most programmes run between 4 and 12 weeks, depending on scope and most clients choose to extend these projects to drive results further. We move quickly because the focus is narrow: identify high-impact opportunities, design interventions, and prove what works.

Who is typically involved in a project to grow customer spend?

We usually work directly with commercial, marketing, and digital leads — often those accountable for revenue or channel performance. For many clients, that’s a VP or Director-level sponsor supported by analysts, CX, or product teams.

We bring our own behavioural scientists, data specialists, and experiment designers who work alongside your teams.

That means we use your data, your systems, and your brand standards while adding the rigour, structure, and external perspective to accelerate progress.

When the programme ends, your team keeps both the results and the capability to keep running experiments in-house.

How do you mitigate the risk of in-market testing and experimentation?

The risk of doing nothing is almost always higher than the risk of testing. Even so, we design every experiment to deliver fast, reliable data while keeping exposure low and disruption minimal.

We start small, testing in a limited number of stores, channels, or markets. This gives teams the space to learn before scaling change.

We use control testing to ensure results are credible. We compare test and control groups so you know whether the change truly drove impact or not.

Each experiment is guided by a stop-or-scale rule: if the data shows a clear positive effect, we scale; if not, we stop, analyse the “why,” and refine the next test.

This structure keeps risk proportionate, cost under control, and every outcome — win or not — feeds back into a stronger, evidence-based growth model.

What’s the first step — a diagnostic, a workshop, or a full engagement?

It depends on where you are and how ready your teams are to move. Some clients are ready to go all in; others prefer to start small and build confidence through early results.

We’ll shape the right entry point for you, whether that’s a Discovery Sprint to surface immediate opportunities or a multi-market optimisation programme to scale proven interventions fast.

Contact us to request a bespoke proposal →

How do you prove ROI?

We build every experiment around hard commercial metrics — Average Order Value, conversion rate, margin contribution, and customer satisfaction — so impact is clear and measurable.

Performance is tracked through control testing, ensuring that any uplift is genuinely caused by the intervention, not external factors. Results are visualised in live data dashboards, with clear before-and-after comparisons.

Most clients see a measurable lift within 30–60 days. Each experiment adds to a growing evidence base, creating a playbook of proven levers your teams can keep applying to drive future growth.