Dec 2021 – Jan 2022Experiment

Grab Nearby: discovering places with great offers around you

Grab wanted to be people's first choice for finding places nearby in Southeast Asia. I redesigned how users discover nearby stores and deals, through search, a map, categories and offers.

Grab Nearby cover visual

My role

Led the project end to end, ran workshops and prepared research with researchers. Tools: Figma and ProtoPie.

Team

1 designer (me), 2 PMs, 2 engineers, 4 QAs, a researcher and a content strategist, plus Homepage, Map and Food teams.

Impact

Revenue per user grew from $0.20 to $5.03 in the experiment.

+21.1ppoverall engagement rate
+9.3pphomepage engagement rate
$5.03revenue per user, up from $0.20

Background

Discovery, incentive, purchase

Users ask three questions: where should I go nearby, which option gives me the most value, and what is the fastest way to buy? The goal was to answer all three in one place.

The discovery lifecycle.
The discovery lifecycle.

The problem

A hidden entry point with weak incentives

Impressions dropped 67% after the entry card lost its ranking. Click-through was 0.5%, conversion 1% and repeat visits about 2%. Stores also lacked the rich information people need to decide.

Current performance.
Current performance.

Problem spaces we’re tackling

  • Consumer

    “I want to find all the merchants around me where I can receive benefits while I shop, such as offers, order ahead, PayLater and Pay with Points. Where should I look?”

  • Grab Merchant

    Lack of ability to attract and retain customers: Merchants are unable to incentivise users to visit their physical stores and use GrabPay.

    Lack of visibility: Customers can’t discover them on the Grab app unless they see the in-store point-of-sale collaterals. Even if they run promotions and deals with Grab, these are hidden somewhere in the app.

Users and goals

Active and passive customers

Active customers compare offers, ratings and promos before buying. Passive customers look for shortcuts and rely on reviews and social proof. Phase 1 aimed to raise click-through from 0.5% to 1.5% and conversion from 1.2% to 5%.

Slide from the Grab Nearby case study
Metrics for phase 1.
Metrics for phase 1.

Visibility

Better entry points

I added a new entry point and used universal search, which already had 10% adoption, with an animated hint and an Explore nearby section.

Slide from the Grab Nearby case study
Animated search hint and search landing.
Animated search hint and search landing.

Incentives

Discover through the map, categories and offers

A map view makes discovery visual, categories help people with a specific need, and offers give users a reason to come back while giving merchants more visibility.

Slide from the Grab Nearby case study
Map interactions, prototyped in ProtoPie.
Map interactions, prototyped in ProtoPie.

Purchase

Everything needed to decide, in one place

Merchant pages bring together images, prices, deals and reviews. Grab had no review system yet, so we planned to pull information from sources like Tripadvisor and Yelp in the meantime.

Slide from the Grab Nearby case study

Research

What users taught us

Some users did not realise the map was tappable, so I added an expand animation. Others went straight to the Food or Mart tiles to look for nearby places, and few scrolled down the homepage.

Slide from the Grab Nearby case study
Slide from the Grab Nearby case study

Next iteration

Showing up inside other journeys

I proposed nudges where intent already exists: during a ride, when a store cannot deliver, on the offers page, and as notifications for favourite stores.

Slide from the Grab Nearby case study

Results

Experiment in Singapore, 20% of users

Duration: 6 Dec 2021 – 17 Jan 2022Sample: 20% of users in SG

  • $0.20 → $5.03

    Revenue per user increase

    Revenue per user increased +2,145%, thanks to unified GrabPay, self-pickup merchants and offers discovery.

  • 25.5% → 46.6%

    Overall engagement rate increase

    Overall engagement rate increased +21.11pp, including Homepage and Nearby.

  • 25.5% → 34.8%

    Homepage engagement rate increase

    Homepage engagement rate increased +9.3pp thanks to map visibility, not including Nearby.

  • 1.26% → 0.38%

    Lower homepage entry point CTR

    Entry point CTR was lower because users didn’t recognise the new entry point as Nearby. The experiment also ranked it high, so far more users saw it (1.41M) than in the control group (82.4K).

Next steps: teach users about the new entry point and aim for full release in SG, MY and PH.