Competitive research

tool:
Traffic Analytics
2018
Project for the Semrush company
Project goal
Helps analyse competitor's traffic and metrics on a site.

Improving work with competitors comparison

Helping to understand how audience overlap with competitors

Experiments to increase self-payments

Explaining user how to work with AP
NDA
Any metrics related to users or money under NDA. They can't and won't be used in this case descriptions.
Traffic Analytics
Comparison
Goal: improv work with competitors comparison
What was done
  • 1
    Research
    Analysed how often users work with comparison mode. Was designed experiment how can we improve work.
  • 2
    Wireframes
    Created prototypes. Worked with a UX writer.
  • 3
    Development
    Checked UI design, how it works in real life. Found bugs on a stage.
  • 4
    Check result
    Analysed by GA how users changed interactions with the new interface. Checked metrics.
User returns at least one time in a month and regular checked same sites as previous month. We needed to create simple solution without big development. That why we decide to to do such thing using only users cookies.
Old comparison form. To go to the comparison form, there was only one button and when you push it then opened form from previous picture. This case is about what is simple not equal effective. We changed it.
New comparison form. Form was designed for faster activation user with showing as much features as we can. This simple changes (adding input, button that compare 2 sites immediately) resulted in an increase of over 900% in comparison mode transitions.
Traffic Analytics
Audience Overlap
Goal: help to understand how audience overlap with competitors
What was done
  • 1
    Wireframes
    Created prototype and tested them on users. Worked with a UX writer.
  • 2
    Development
    Checked UI design, how it works in real life. Found bugs on a stage.
  • 3
    Check result
    Analysed by GA how users changed interactions with the new interface. Checked metrics.
First version of Audience overlap graphics. We choose venn diagram to show overlap. Using this type of diagram we find a problem with showing overlap more than 3 items — they become unreadable. Splitting on 5 separated diagrams helped with this issue.
Second version of Audience Overlap. We founded that user was frustrated about different size of "the main bubble", thinking that this is different size auditories. Solution for "the main bubble" was always showing the same size on each diagram in a raw.
Traffic Analytics
Payment
Goal: increase self-payments
What was done
  • 1
    Information Architect
    Analysed which data we can use and how we can show it graphics.
  • 2
    Wireframes
    Created prototypes with different visualisation.
  • 3
    Text improvement
    Worked in collaboration with UX writer.
  • 4
    Development
    Checked UI design, how it works in real life. Found bugs on a stage.
Old version of a payment dialog.
New payment dialog with call to action and description of paid opportunities.
Traffic Analytics
API
Goal: explain user how to work with API
What was done
  • 1
    Research & Information Architect
    Analysed how developers worked with API. Analysed what data is available and in what format.
  • 2
    Wireframes
    Created prototype and deferent type of instructions for developers and managers.
  • 3
    Development
    Checked UI design, how it works in real life. Found bugs on a stage.
Who it's about
API has two users persona. Managers who need data and they want understand witch kind of data API provides. Second are developers that needed to know how work with API and provided data.
This is how we shows our data in result.
This is how we shows API request. Every user can use request instead asking developer to write it.
Documentation for API for advanced using it.
Traffic Analytics
Bonus track
A little cool things that I did with the UI designer
States for subscription on Push or slack notifications.
Browser Push notification design.
Data collecting only once a month. Many users asked where the new data? We decide to show them an actual information from knowledge base in an actual place.
This is flow for Slack bot. We found out that most of users use slack and decided integrate new communication path.
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