• Client

    Reverb.com

  • Type of Project

    Behavioral Design & Systems Design

  • My Role

    Strategist & Lead Designer

Hey, asking for a friend...

How do you let a seller know their stuff might not be worth as much as they think?

The friend is Reverb. Reverb had a very pressing, and delicate problem.

...but who even decides what's considered "overpriced" or not?

The marketplace does.

And with so many years of markeplace records...

Reverb knows what's likely to sell. Why not let the sellers know too?

Every listing's different, but the marketplace had gotten bloated with a lot of stuff that was never going to find a buyer.

And so we had our...

Hypothesis:

Leveraging Reverb's historical pricing data to provide dynamic feedback in the listing process will better educate sellers, leading to better priced listings entering the marketplace.

A summary of the project's visual progression

As design progressed...

I found the most value in iterating on three key elements.

Some of Reverb's product and design guidelines were very not-set-in-stone, and this was an opportunity to inform some of those longer-term decisions.

Color

Our team had just recently introduced a refreshed brand palette, but rules around using them as sentiment colors were largely non-existent.

Iconography

Many of our icons used lacked canonical documentation. I put a stake in the ground for the sparkle icon during this experiment, its role being a signifier for "smart" or "AI-like" expressions of Reverb's uniquely informed recommendations.

Language

Reverb had historically only focused on how quickly a listing would sell. This time, we decided to write more plainly (and assertively) about whether their listing will sell at all.

The experiment was a huge success.

Prices went down. Sales went up. What's better than that?

Learnings might be, depending on who you ask.

Impact

$4.7M

GMS earnings

GMS = gross market sales, calculated by the analytics department following a successful experiment

$4.7M

GMS earnings

GMS = gross market sales, calculated by the analytics department following a successful experiment

+9.5%

Competitively priced listings published

Responding to the new design, sellers started publishing better prices

+9.5%

Competitively priced listings published

Responding to the new design, sellers started publishing better prices

+1.4%

Listings sold

Better priced listings are more likely to sell

+1.4%

Listings sold

Better priced listings are more likely to sell

Successful experiment

The new experience was made live for all users

Successful experiment

The new experience was made live for all users

Major learnings

Three types of learnings were had surrounding the way Reverb talks to sellers

Major learnings

Three types of learnings were had surrounding the way Reverb talks to sellers

Related Project

I led an ideation session that directly preceded this project, give it a look.

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