---
title: "Dayinsure: 41% higher ROAS and 25% lower CPA | Outra"
description: "A leading temporary car insurer replaced broad Meta interest targeting with UPRN-level household modelling and nearly doubled campaign revenue."
url: "https://outra.co.uk/case-studies/dayinsure-temporary-car-insurance"
---

# Dayinsure: 41% higher ROAS and 25% lower CPA

[All case studies](/case-studies)

![Dayinsure logo](/assets/dayinsure-b6R18oh6.png)Financial services & insurance

# Outra driving profitable growth for temporary car insurance

41% higher ROAS and 25% lower CPA with UPRN-based modelling

## Results

Higher ROAS

41%Higher ROAS

Lower CPA

25%Lower CPA

Stronger CTR

62%Stronger CTR

Higher AOV

5-17%Higher AOV

Outra campaigns generated £137k revenue versus £60k from incumbent benchmark targeting.

## The challenge: spending too much to acquire too little from Meta

- Dayinsure's broad interest targeting was driving clicks but not conversions, with moderate CTR and high CPA
- Temporary cover is a moment-in-time need that interest categories don't capture

## What Outra did

Outra replaced broad interest targeting with UPRN-level household modelling, finding the people most likely to need temporary cover based on vehicle, household and life-stage signals at address level.

Same budgets, dramatically better engagement: Outra campaigns generated £137k revenue against £60k from the incumbent benchmark.

## At a glance

Client

Dayinsure

Sector

Financial services & insurance

Headline result

41% higher ROAS and 25% lower CPA with UPRN-based modelling

[Book a demo](/demo)

## Could this work for your campaigns?

We'll build the household audience for your market and show you the reach before you commit.

[Book a demo](/demo)[Ask us a question](/contact)

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