Uswitch Credit Cards

Increasing conversion to USwitch credit cards page.

PROBLEM STATEMENT: Huge amount of traffic coming to the credit cards page with a very low conversion as a result.

KNOWN ISSUES: Setting a poor first impression by placing “banner ad” looking content in primary areas of the homepage and not assisting users in selecting a well-defined scope right from the homepage

Client: USwitch
Website: uswitch.com
Date: 2018-10-08
Services: UX/UI Design

Competitor analysis:

A competitor analysis means knowing your product or service like the back of your hand and stacking that up against the competition out there.

Why i am doing a competitor analysis?

a) To help solve usability problems

b) To understand where my product or service stands in the market

c) To inform the design process

d) To know the strengths and weaknesses of our competition

e) To have reliable evidence when making product changes

f) To focus my efforts on a target market

 

Things to remember:

a) Credit cards listed and sorted based on 3 core values (APR, Balance Transfer, Purchase) – not always present on the homepage.

b) Credit cards homepage is helping the user find the right credit card

c) Credit cards homepage is showing all credit cards categories with a brief explanation

d) There is a difference between ” Most Popular” and “Homepage”

TARGET AUDIENCE – MAIN KEYWORDS – PPC DATA:

It’s expected to have the highest volume of traffic coming through those generic terms, as it’s the widest part of the conversion funnel. That’s why, the click-out rate is expected to be higher than the category pages, whereas the offline conversion rate (CS2) would be expected the opposite.

 

Below we can find the main triggers (ad groups column) for the Generic campaign users to visit Most Popular. In the column Clusters, we can find themes grouping the ad groups at a less granular level. This could help us to understand what smaller funnels we could present to the users when they land on this page in order to try to increase conversion and encourage this generic user to get into a more specific table (apart from the main category funnels).

TARGET OUR USER :

Personas help to focus decisions surrounding site components by adding a layer of real-world consideration to the conversation. They also offer a quick and inexpensive way to test and prioritize those features throughout the development process. In addition, they can help:

a) Stakeholders and leaders evaluate new site feature ideas

b) Information architects develop informed wireframes, interface behaviors, and labeling

c) Designers create the overall look and feel of the website

d) System engineers/developers decide which approaches to take based on user behaviors

e) Copywriters ensure the site content is written to the appropriate audiences

 

In this case we have our “Prudent Planner” :

a) Don’t like the idea of money ever being wasted.

b) Usually brought up without a lot of money

c) Know where all their money is going

d) Like to feel they live within their means

e) Very price conscious

f) Think carefully about decisions, not very impulsive

g) Some have always had the same attitude to money

DATA ANALYSIS – TRAFFIC SHARE :

Desktop, tablet and mobile traffic share

Desktop –  41.40%

Mobile –  40.00%

Tablet – 18.40%

 

Overall conversion by device

Desktop – 12.75%

Mobile – 7.75%

Tablet – 9.00%

 

Overall click out % by device

Desktop – 46.00%

Mobile – 32.00%

Tablet – 22.00%

 

Most visited pages

Balance Transfer (81k) (31% click-outs) (14% conversion)

Most Popular (45k) (19%) (10% conv)

Bad Credit (33k) (16.5%) (11% conv)

Homepage (21k) (2.8%) (8% conv)

Guaranteed no credit check (14k)

0% Purchase (11k) (7.8%) (16% conv)

Credit Building (7.6k) (4.1%) (13% conv)

Travel cards (7.3k) (2.9%) (2% conv)

Cashback (6.5k) (2.4%) (2% conv)

BRAND GUIDELINES :

GETTING SCREENS READY FOR THE PROTOTYPE :

TESTING THE PROTOTYPE – USER INTERVIEWS :

You can access the Invision prototype by clicking the following link:

Prototype link

A/B TESTING RESULTS :