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How would you double active users on Facebook Shop weekly when only 6% of FB users remain active in the first week and 0.4% remain active after 3 weeks?

More focus is to be given on hypothesis for experiments that will be developed.
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Here's how I'd approach this Facebook PM product improvement question:

Context

Facebooks mission is to connect the world and provide the tool to build the community.

Let's understand what is FB shop first - its a community marketplace and lets you buy thing new/used from people around you 

Sellers and shopper connect offline to figure out the logistics 

Clarity

How would you double weekly active users on Facebook Shop when only 6% of users on FB remain active in the first week and 0.4% remain active after 3 weeks.

When you say FB shop are you referring to FB marketplace - yes 

When you say first week I'm assuming you're referring to the week after they become active on FB shop for the first time i.e W0 is when the user dsicovers FB shop - Yes

When you say active are referring to app opens for FB shop - yes

We want to double weekly actives but customer retention is poor so we want to solve for that i.e customer retention

 

Users

Who uses FB marketplaces - Young adults/teens, single working individuals, flatmates/married couples under 45 and 45+ cohort

WRT shopping the purchasing power lies with Single working individuals , flatmates/married couples under 45 and 45+ cohort however 45+ cohort doesn't have good adoption when it comes actually buying online so I want to discount them as well.

I want to focus on the cohort from 25 to 45 since they form a significant chunk of FB's users and also purchase online frequently

Needs/pain points

- they frequently buy groceries/perishables from a local grocer but it takes a lot of time to deliver and often has minimum order value

- I often orderout food since I dont feel like cooking at home 

- not the most competitive prices since the grocer has monopoly

-I often go to branded showrooms for my large value purchases like high end earphones since I don't trust local sellers

-I want the convenience of a drop to home 

 

Gaps identified

the current categories that FB marketplace offers are categories where the purchases are made typically once a year - earphones, mobiles, etc

Vector chosen

I want to make FB marketplace more relevant on a day to day basis

Tactics

  • Onboard local sellers for food/perishable and users can order groceries online: I feel that onboarding these categories will make Facebook relevant for more weekly purchases and drive active. 
    Allow for catelogue on these seller pages, in addition sellers can also set up their own offers to have more traffic + fresness is an extremely important criteria for purchase so sellers can mention when they got the fruits etc 
    High reach high impact high confidence medium effort - PICK ( Why medium effort? - I am a tech company so I dont want to invest in ops, I'll mostly partener with a dunzo or swiggy stores to help drive this)
  • Shopping List building via FB: Users can set up a group that buys groceries and users can keep adding it to a shopping list so that whenever the user opens FB marketplace I can show relevant grocery sellers to the user, this leverages Facebook's network and aligns with it's mission + is a differentiator
    Medium reach(since not everyone lives in a shared apartment), medium impact, medium confidence, medium effort - PICK
  • Early morning low touch delivery:  Early morning low touch delivery is a fantastic way of locking in users/driving repeat usage behavior while ensuring conveneince. We can tie with partner to enable early morning low touch delivery ( users build a cart and pay for it and it gets delivered to them early morning everyday)
    Medium reach, high impact, high confidence, high effort - PICK 
  • Meats: Meats are not bought as frequently as greens and has its own factors ( which cuts how was the live stock raised) but it's a high traction category
    Medium reach, medium impact, high confidence, high effort - Pick post MVP , once the product has traction 
Risks
Having a single partner to power this may give the partner too much negotiating power so you de-risk by having multiple partners power this 
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FB Shop- It is a marketplace product available on Facebook to meet buying and selling needs in local vicinity. I would define WAU as users who have been opening Marketplace and spending time on Marketplace.

Considering WAU has dropped from 6 to 0.4 % in three weeks, I would like to address increasing the activity of the user on Marketplace by increasing the frequency of users to return to the platform and also through increasing utility of the app.

New User- to have them adopt this platform.

Existing User-repeat visit for them to come back.

Users: 

  1. Students
  2. families
  3. Millenials
  4. working professionals
  5. grandparents
I would prioritize segments for students and families as they have budget-friendly need which can bee addressed on marketplace.
 
Typical Use cases for shopping:
Bored
Have needs
Trending items among friends
Deals/ Promotions
Luxury items for cheaper
 
Solutions:
1. Integrate marketplace with maps to show pins of items expressed interest for and send push notifications to user
2. AR experience to take pictures from the seller and have it visually represented on buyers' cameras to take a feel of how it will look like on sellers living space.
3. Check with the buyer/ seller if the deal was successful and ask for feedback.
4. User profiles with ratings on the basis of activity. Higher activity allot points to ensure thee buyer/seller is not fake and has been engaged in commercial transactions before.
 

 

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Step 1 Clarify FB shop is FB marketplace right?  

6% are active at the end of Week 1 are we saying that for example we started with 1000 people at the end of W1 we are left with 60 and at the end of W3 we are left with only 4 people?  

Our Aim is that W1 = 60; W2 = 120 and W3 = 240  

Can you tell me what is the usual rate of FB shop Customer Retention on a WoW basis ; Does this align with the trend or it very much off the charts ?  

Is this a behavior shown by any Age group/Region or Device Type or OS platform?  

Step 2 Analyze and Deep dive:  

I would want to investigate the user journey for a user to interact with FB Marketplace: Sort of Funnel Analysis for FB marketplace user journey: user Becomes active on FBM; Interacts with Search; Searches for product based on location, price ; Reached out to a product owner ; makes the buy or does not buy 

Ona high level I could imagine this User journey to be stuck at Search and Communication phase and I would hypothesize this is where user is stuck and cannot make the best use of FBM and hence by 3rd week drops out of it.  

Step 3 Prioritize: I would work on making the Search more relevant ; reach out mechanism and ability to buy /sell a product on FBM more safe and trustworthy 

 

Step 4 Success Metric: Track Engagement of user with Search option of FBM ; Work with Product Managers and team to gather data and Design A/B tests check if we can improve the search results for the user and see the conversion rate from Search>lead Generation>Connect> Communicate >Sell/Buy 

 

 

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