Background story

C-company is a intelligent platform for small enterprise to generate google ads keywords smartly and also adjust the keywords according to different company context.

AI engine for Google ads

User flow optimization

My role

I joined the team as a UX designer. Did most of the qualitative research with marketing specialists, performed quantitative research with google statistics masters. Setting design sprints with COO for different stage, and crafted i
meaningful UI

Issue to identify

Optimizing the user flow

UI presentation

Second iteration

During the second round of the iteration. We focused on branding design to be able to get aligned with the product value, to provide the user with an enlightening, effortless experience.

As more user inputs we got, we did several design sprints according to how many google accounts we should have them to link, and how those related to the campions amount and the other. I will present as below.

In most of the context we've found, the, one google account connects to at least 5 Url. To be easy for them to manipulate across different URLS, the platform should provide meaningful navigation through out the process.

Another key problem is the google advertisment tool is really hard to understand, even for specialist. Most of them just jump out if they get overwhelmed by some many terminologies, like quality scores, the click through rate, CPC, impressions. And how those effect how much she/he would spend on each bid/keyword. The goal is try to understand their situation while using the any ads platform, provide them with an easy but useful way to meet their requirements.

Given various user situation, we created three type of biding style, some company they want to spend more being on the top for short period, some want to stay on the first page for a long period. Some want to stay the positions. Then they don't have to touch those difficult terminology.