Launching ManyPets in the US

ManyPets is a pet insurance provider offering cover for cats and dogs, helping owners manage the cost of unexpected veterinary care.

I led the design of the US customer experience, working closely with the Director of Growth & Partnerships, Product and Engineering. My scope extended beyond the checkout itself, covering the wider acquisition journey, connected account experiences and the foundations of the new US digital brand.

Our objective was to successfully launch ManyPets into a new market while making a relatively complex insurance product easy to understand and buy.

Scope

US acquisition journey, checkout and connected digital experiences

Time frame

6โ€“7 months to launch ยท 1+ year iteration

Contribution

Product strategy, research, end-to-end design and design-system foundations

1. Pet details

2. Price

3. Enroll

Stellaโ€™s plan

Total monthly price for Stella

$39.73

/mo

Accident & illness

$39.73

/mo

Unlimited reimbursement of approved claims

Comprehensive coverage for accidents & illnesses

Use any registered vet

Mutts are magical!

And because they often suffer from [breed condition], we make sure our unlimited vet fee coverage caters for any eventuality.

Hereโ€™s what we cover:

Unexpected accidents or illnesses

Digestive issues, cancer, diabetes, fractures, dental, genetic conditions, conditions from birth, and everything in between

Exams & tests

Blood tests, X-rays, MRIโ€™s, ultrasounds, CT-scans, urinalysis, and more

Medications

Any vet-prescribed meds

Treatments & surgeries

All vet-approved surgical procedures and treatments (incl. rehabilitation, acupuncture or chiropractic treatment)

Hospitalizations

In-patient, outpatient, speciality, and emergency stays

Vet visits

No in-network restrictions. We cover bills from any licensed-vet you choose

Also good to know

Pre-existing conditions

We cover pre-existing conditions if your pet has been symptom and treatment-free for 18 months

Preventive & wellness

This product doesnโ€™t cover routine or preventive care โ€” but you can add our wellness plan below

Waiting period

Weโ€™ll start covering accident or illness claims 15 days after the start of your policy (unless you can show you held insurance 24hrs prior to joining ManyPets)

Whatโ€™s not covered

We don't cover spaying and neutering or cosmetic treatments

See full policy details

Customize your plan

Your reimbursement:

90%

80%

70%

most popular

Your annual deductible:

$100

$250

$500

most popular

Example based on your selection

If Rocky had an accident:

Keep Stella healthy

Discount applied

Wellness

$34.99

/mo

Add another pet

Continue

Paid in 3 easy steps

Pay the vet (any vet)

Send us the invoice

Get reimbursed

1. Pet details

2. Price

3. Enroll

Stellaโ€™s plan

Total monthly price for Stella

$39.73

/mo

Accident & illness

$39.73

/mo

Unlimited reimbursement of approved claims

Comprehensive coverage for accidents & illnesses

Use any registered vet

Mutts are magical!

And because they often suffer from [breed condition], we make sure our unlimited vet fee coverage caters for any eventuality.

Hereโ€™s what we cover:

Unexpected accidents or illnesses

Digestive issues, cancer, diabetes, fractures, dental, genetic conditions, conditions from birth, and everything in between

Exams & tests

Blood tests, X-rays, MRIโ€™s, ultrasounds, CT-scans, urinalysis, and more

Medications

Any vet-prescribed meds

Treatments & surgeries

All vet-approved surgical procedures and treatments (incl. rehabilitation, acupuncture or chiropractic treatment)

Hospitalizations

In-patient, outpatient, speciality, and emergency stays

Vet visits

No in-network restrictions. We cover bills from any licensed-vet you choose

Also good to know

Pre-existing conditions

We cover pre-existing conditions if your pet has been symptom and treatment-free for 18 months

Preventive & wellness

This product doesnโ€™t cover routine or preventive care โ€” but you can add our wellness plan below

Waiting period

Weโ€™ll start covering accident or illness claims 15 days after the start of your policy (unless you can show you held insurance 24hrs prior to joining ManyPets)

Whatโ€™s not covered

We don't cover spaying and neutering or cosmetic treatments

See full policy details

Customize your plan

Your reimbursement:

90%

80%

70%

most popular

Your annual deductible:

$100

$250

$500

most popular

Example based on your selection

If Rocky had an accident:

Keep Stella healthy

Discount applied

Wellness

$34.99

/mo

Add another pet

Continue

Paid in 3 easy steps

Pay the vet (any vet)

Send us the invoice

Get reimbursed

14.8%

14.8%

Peak conversion rate - 196% above average

Peak conversion rate - 196% above average

5% โ†’ 12%

5% โ†’ 12%

Conversion uplift from personalization

Conversion uplift from personalization

7 figures

7 figures

Revenue in year one

Revenue in year one

3 markets

3 markets

Blueprint adopted in the US, Sweden and UK

Blueprint adopted in the US, Sweden and UK

THE CHALLENGE

Entering a new market meant rethinking the product, not localising it.

Entering a new market meant rethinking the product, not localising it.

The US pet insurance market was still developing, and many customers had little frame of reference for the product. We needed to create an experience that could build understanding and confidence while still converting efficiently.

The challenge wasn't simply to design a checkout. It was to define how ManyPets should explain, sell and scale pet insurance in a new market.

THE USER

An unfamiliar product. Many US pet owners were more familiar with wellness products than pet insurance. The experience needed to explain what they were buying and why it mattered, without adding friction to the journey.

PRODUCT

The UK experience wasn't a blueprint. US customers had different expectations around coverage, terminology and value. Rather than adapting the existing UK journey, we needed to understand the market and design the experience from first principles.

BUSINESS

Launch quickly and prove the market. This was a new-market launch with an ambitious profitability target, happening alongside the transition from Bought By Many to ManyPets. We needed to launch quickly while creating a product and digital foundation that could evolve with the new brand.

THE USER

No frame of reference for the product. US pet owners were not used with the concept of pet insurance but rather pet wellness products. The flow had to educate and convert at the same time, without adding friction.

PRODUCT

The UK product couldn't simply be copied. User behaviour, terminology, and expectations were genuinely different. Everything had to be researched and designed from scratch.

BUSINESS

ManyPets was going through a transformation, changing it's name from BoughtByMany in order to appeal more to the US customer. This meant that the new branding was developed along side the new flows which made the process more complicated.

RESEARCH - PART 1 of 3

Turning market research into product direction

Turning market research into product direction

Before designing the experience, I worked with our market research partner to understand the US insurance landscape and the customer segments we were designing for.

I translated those insights into principles the team could design around, shaping how we framed coverage, price and messaging, as well as which emotional triggers we leaned into or deliberately avoided.

RESEARCH - PART 2 of 3

Understanding how US customers make the decision

Rather than testing our own ideas, I used existing US insurance journeys as research stimuli to understand how customers evaluated the product from scratch.

Three behaviours consistently emerged and became principles for the experience I designed:

  • prioritise coverage over price,

  • connect insurance to real health concerns,

  • and frame it as ongoing care rather than emergency protection.

Research findings

01
US users prioritise coverage over price

In the UK, price is the primary decision driver. In US, participants would pay more to know their pet was fully covered, even when shown a cheaper alternative.

02
Past pet health scares are the primary purchase trigger

The single most common reason US users gave for considering insurance was a personal experience with a sick pet, or hearing about one from a friend or family member.

03
Insurance is seen as ongoing care, not emergency cover

US pet parents didn't think of insurance as something you activate when disaster strikes. This was a fundamental framing difference from UK users.

RESEARCH - PART 3 OF 3

Finding the gap competitors weren't solving

Finding the gap competitors weren't solving

I turned the research into a structured evaluation framework, scoring six competitor journeys against the dimensions that mattered most to customers.

The analysis revealed a clear opportunity: the most comprehensive experiences were difficult to navigate, while simpler ones lacked the depth needed to build trust. Our opportunity was to combine both.

MARKET OPPORTUNITY

Make depth feel simple. Competitors either overwhelmed customers with detail or simplified too far, so I focused on making comprehensive coverage easier to understand.

PRODUCT DIRECTION

Configure first, price second. I structured the journey so customers could understand and shape their cover before being asked to evaluate the price.

SYNTHESIS

Turning research into a shared product direction

Turning research into a shared product direction

Before moving into design, I brought Product, Engineering and key stakeholders together to turn the research into one shared view of the customer journey. We mapped every touchpoint from acquisition through to post-purchase, aligned on what the experience needed to achieve, and surfaced edge cases before they became delivery problems.

The workshop also gave us a common definition of success, with conversion, retention and journey drop-off agreed as measures before I started designing.

Success metrics set before design started
  • Launch the MVP, learn and iterate after launch

  • Conversion above 5% in first 3 months (industry avg: ~10%)

  • Policies sold per week target met in months 1โ€“3

  • First-month retention tracked and baselined

  • Drop-off rate per screen identified and tracked

TESTING & ITERATION

Using evidence to evolve the product, before and after launch

Using evidence to evolve the product, before and after launch

I treated the first release as a starting point rather than the finished product, using prototype testing, beta feedback and live behavioural data to continuously challenge our assumptions and decide what to change next.

ROUND 1 ยท PROTOTYPE TESTING

Testing the best IA approach. Form wins.

I built three different IA models and tested them comparatively, looking at both completion and how confident people felt moving through the journey.

8 of 10 users preferred the form layout. They could see all required fields at a glance, gauge completion time, and felt more in control. Step-by-step felt opaque. Users didn't know how long it would take.

ROUND 2 ยท PRE-LAUNCH BETA

Coverage behind a toggle doesn't work.

Before the MVP went live, I ran another round of beta testing with a near-production build. A clear pattern emerged around the quote page. Users wanted to see what they were buying before they customised it.

Customers wanted coverage visible before customising their plan. I brought the detail upfront and expanded the explanations so they could understand what they were buying first.

ROUND 3 ยท POST LAUNCH ITERATION

Personalisation: 5% โ†’ 12% conversion.

Post-launch data showed users were engaging most with the breed-specific content. I expanded this into a full personalisation layer: a city skyline illustration based on zip code, a custom illustrated icon per breed, and messaging addressing breed-specific health conditions.

This single change drove conversion from 5% to 12%, a 140% improvement. The experience became more relevant through breed, location and health-specific content rather than treating every customer the same.

ROUND 4 ยท YEAR ONE OPTIMIZATION

Merge review + payment: 12% โ†’ 14.8%.

A year of live data showed another opportunity. Customers were revisiting information they'd already seen, so I challenged whether the review step was still earning its place and proposed combining it with payment.

Conversion reached 14.8%, an industry-leading rate, 196% above the ~5% category average, and the highest the product had ever achieved. The 3-step flow (Pet details, Price, Enroll) became the final architecture.

ROUND 1 ยท PROTOTYPE TESTING

Testing the best IA approach. Form wins.

I built three different IA models and tested them comparatively, looking at both completion and how confident people felt moving through the journey.

8 of 10 users preferred the form layout. They could see all required fields at a glance, gauge completion time, and felt more in control. Step-by-step felt opaque. Users didn't know how long it would take.

ROUND 2 ยท PRE-LAUNCH BETA

Coverage behind a toggle doesn't work.

Before the MVP went live, I ran another round of beta testing with a near-production build. A clear pattern emerged around the quote page. Users wanted to see what they were buying before they customised it.

Customers wanted coverage visible before customising their plan. I brought the detail upfront and expanded the explanations so they could understand what they were buying first.

ROUND 3 ยท POST LAUNCH ITERATION

Personalisation: 5% โ†’ 12% conversion.

Post-launch data showed users were engaging most with the breed-specific content. I expanded this into a full personalisation layer: a city skyline illustration based on zip code, a custom illustrated icon per breed, and messaging addressing breed-specific health conditions.

This single change drove conversion from 5% to 12%, a 140% improvement. The experience became more relevant through breed, location and health-specific content rather than treating every customer the same.

ROUND 4 ยท YEAR ONE OPTIMIZATION

Merge review + payment: 12% โ†’ 14.8%.

A year of live data showed another opportunity. Customers were revisiting information they'd already seen, so I challenged whether the review step was still earning its place and proposed combining it with payment.

Conversion reached 14.8%, an industry-leading rate, 196% above the ~5% category average, and the highest the product had ever achieved. The 3-step flow (Pet details, Price, Enroll) became the final architecture.

OUTCOMES

From new-market launch to product blueprint

From new-market launch to product blueprint

The US experience significantly exceeded its original conversion target and became a blueprint for how ManyPets approached quote and buy journeys across other markets. What started as a US launch created a product foundation that was later adopted across the UK and Sweden.

14.8%

Peak conversion rate

196% above the ~5% industry average

14.8%

Peak conversion rate

196% above the ~5% industry average

1mil+

In sales

for the first year of activity

1mil+

In sales

for the first year of activity

DESIGN SYSTEM

Building the design system along side the new flows

Building the design system along side the new flows

While delivering the US product, I simultaneously led the foundation work for ManyPets' design system, Unpack. This wasn't a side project; it was built from the components I was creating for the checkout, validated across the US, UK, and Sweden products.

TOKEN ARCHITECTURE

Designing for change

I led the Foundations Council across squads to define colour, typography, spacing and grid tokens, mapping them across both brand versions so teams could evolve the visual identity without rebuilding components.

TOKEN ARCHITECTURE

Designing for change

I led the Foundations Council across squads to define colour, typography, spacing and grid tokens, mapping them across both brand versions so teams could evolve the visual identity without rebuilding components.

ACCESSIBILITY STANDARDS

Turning fixes into rules

Rather than solving accessibility issues screen by screen, I established reusable standards for contrast, keyboard navigation and screen readers, documenting constraints so teams could make consistent decisions independently.

SCALING THROUGH THE REBRAND

Building resilience into the system

When the brand changed mid-project, the token structure let us repoint components to the new visual language instead of rebuilding them, reducing disruption for Engineering while keeping the product moving.

CHALLENGES

Navigating ambiguity while the product and brand were still evolving

Navigating ambiguity while the product and brand were still evolving

01

Building while the brand was still evolving. I created the token architecture early so the product could keep moving without constantly rebuilding as the visual identity changed.

02

Designing for a market I didn't know firsthand. I used research and competitor evidence to challenge assumptions and give the team a shared basis for decisions.

03

Making the brand work digitally. When parts of the new palette failed accessibility requirements, I worked with Marketing to adapt it and turned those decisions into reusable system rules.

CONCLUSION

What I learned from this project

What I learned from this project

Personalisation turned a functional journey into one that felt relevant to the individual. The flow already worked, but tailoring the experience to the customer helped build greater confidence, engagement and conversion.

Strong framing gave us a foundation we could keep improving. Investing early in understanding the market and customer meant we could iterate after launch without constantly rethinking the core experience.

The work ultimately became more than a US launch. The patterns, principles and systems we established continued to evolve and influence the wider product.

Doing the market research before touching Figma was the best call on this project. Because we understood US users and their context before we built for them, we had very few structural fixes post-launch. We spent that time on improvements instead of corrections.

The personalisation round taught me something I hadn't expected. Adding the city skyline, breed icons, and condition-specific copy moved conversion from 5% to 12%. Not because the flow worked better functionally โ€” it already did. Because users felt like the product was built for them specifically. In a category where trust is hard to earn, that matters more than most things.