Facebook Product Manager Metrics Interview: Facebook Marketplace

Exponent
1 Mar 202124:01

Summary

TLDRIn this product management mock interview, Neri discusses setting metrics for Facebook Marketplace. The conversation centers around understanding the platform's mission, identifying key user groups, and selecting metrics that reflect engagement and value for both buyers and sellers. Neri suggests focusing on weekly active users, transaction estimations, and distribution analysis to ensure the platform aligns with Facebook's broader goals and provides equitable opportunities for all users. The interview also touches on the importance of not just measuring engagement but also considering the quality of user experiences.

Takeaways

  • 😀 The interviewee, Neri, shares their background including a product management internship at Apple and an upcoming role at Facebook, highlighting the importance of community in product management.
  • 🎓 Neri emphasizes the value of the Exponent program in preparing for interviews and the significance of community in interview prep spaces.
  • 🛍️ Facebook Marketplace is described as a two-sided platform facilitating transactions between everyday buyers and sellers, with a focus on local community engagement.
  • 🔍 The interview question revolves around setting metrics for Facebook Marketplace, considering its role within Facebook's broader commerce ecosystem.
  • 📈 The thought process for setting metrics includes understanding the product's mission, identifying key user groups, and prioritizing key driving metrics.
  • 🤔 Neri discusses the importance of defining 'active' for both buyers and sellers, suggesting that active users could be those who click on at least one post within a week.
  • 💬 The interview explores the challenge of tracking actual transactions, suggesting proxies like the number of back-and-forth messages between buyers and sellers.
  • 📊 The discussion includes metrics for engagement, such as time spent on the platform and distribution of purchases and sales to understand user behavior.
  • 🔄 Neri mentions the importance of retention metrics like 28-day retention for sellers and buyers to gauge repeat behavior and platform stickiness.
  • 💡 The interviewee suggests focusing on a limited number of core metrics rather than an extensive list, to avoid overwhelming the analysis and maintain clarity.
  • 🚀 The interview concludes with self-reflection from Neri on the importance of articulating risks and focusing on a 'north star' metric to guide product strategy.

Q & A

  • What is the main focus of the interview in the script?

    -The main focus of the interview is to discuss how to set metrics for Facebook Marketplace, a platform that allows users to buy and sell items within their local communities.

  • What is Neri's background according to the script?

    -Neri has a background in consulting and recently completed a product management internship at Apple. Post-graduation, Neri will be joining Facebook as a product manager.

  • What does the interviewee suggest as the first step in setting metrics for Facebook Marketplace?

    -The interviewee suggests starting by understanding Facebook's overall mission and how Marketplace aligns with that mission, which is to empower people to create community and bring the world closer together.

  • Why does the interviewee choose a weekly active user metric over a daily one for Facebook Marketplace?

    -The interviewee chooses a weekly active user metric because commerce activities like buying and selling are not typically done on a daily basis, and a weekly cadence can help smooth out fluctuations such as increased activity on weekends.

  • What does the interviewee consider as an indicator of an active buyer on Facebook Marketplace?

    -An active buyer is considered to be someone who has clicked on at least one post within a week's time span.

  • How does the interviewee propose to estimate the occurrence of transactions on Facebook Marketplace?

    -The interviewee suggests using proxy metrics such as the percentage of listings that have at least six back and forth messages, indicating a potential sale, or when a seller removes an item or marks it as sold.

  • What distribution-related metric does the interviewee want to track to ensure Facebook Marketplace is serving everyday buyers and sellers?

    -The interviewee wants to track the distribution of purchases per buyer per week and sales per seller per week to ensure the platform is accessible and beneficial to everyday users, not just high-volume sellers.

  • Why does the interviewee consider time spent on the platform as a metric for Facebook Marketplace?

    -Time spent on the platform is considered as it indicates the value users find in the product. However, the interviewee also acknowledges the potential risk of users spending too much time without finding what they are looking for.

  • What retention metrics does the interviewee discuss for Facebook Marketplace?

    -The interviewee discusses 28-day retention for both buyers and sellers, as well as the ratio of weekly active users to monthly active users to gauge the stickiness of the platform.

  • What are the interviewee's concerns regarding focusing solely on engagement and retention metrics?

    -The interviewee is concerned that focusing only on engagement and retention metrics might overlook users who are not actively using the product, missing out on potential issues with awareness, acquisition, and the overall health of the platform's user base.

  • Why does the interviewee believe it's important to consider the ecosystem when setting metrics for Facebook Marketplace?

    -The interviewee believes it's important to consider the ecosystem because Marketplace is part of Facebook's broader commerce objectives, and metrics should align with the company's goals without cannibalizing other commerce initiatives.

Outlines

00:00

📚 Introduction to the Facebook Marketplace Interview

The video script begins with an introduction to a mock product management interview focusing on Facebook Marketplace. The interviewee, Steven, shares his background, including his experience at Stanford GSB, a product management internship at Apple, and an upcoming role at Facebook. The Exponent program is acknowledged for its contribution to his interview preparation. The host expresses gratitude for Steven's return to help others in the community, emphasizing the importance of community engagement in interview preparation.

05:00

🛍️ Understanding Facebook Marketplace's Core Dynamics

In this paragraph, the discussion centers on clarifying the workings of Facebook Marketplace, a two-sided platform for buyers and sellers. The platform's unique selling proposition is highlighted, emphasizing its accessibility to everyday individuals to list and sell items without the need for a storefront. The conversation also touches on the importance of local community ties and the geographical aspect of the marketplace. The interviewee suggests metrics for evaluating the platform's success, focusing on engagement and the user experience, rather than just user acquisition.

10:02

📈 Establishing Metrics for User Engagement and Transaction Success

The script outlines the thought process for setting metrics for Facebook Marketplace, starting with defining what constitutes an 'active user' for both buyers and sellers, with a focus on weekly activity. The importance of understanding user behavior that leads to long-term engagement is discussed. A proxy metric for successful transactions is proposed, based on the number of back-and-forth messages between buyers and sellers. The paragraph also explores methods to estimate the occurrence of sales, such as the removal of listed items by sellers or marking them as sold.

15:04

📊 Analyzing User Distribution and Platform Monetization

This section delves into the analysis of user distribution to ensure the platform serves everyday buyers and sellers equitably. Concerns about professional sellers dominating the platform are raised, and metrics to measure the spread of purchases and sales are suggested. Time spent on the platform as an indicator of user engagement is discussed, with caution advised to ensure it does not indicate frustration in finding items. Retention metrics, such as 28-day retention for buyers and sellers, are considered to gauge repeat usage and platform stickiness.

20:05

🤔 Reflecting on the Risks and Trade-offs of Chosen Metrics

The interviewee contemplates the risks associated with an overemphasis on engagement and retention metrics, noting the potential neglect of users not actively using the platform. The importance of awareness, acquisition, and monetization metrics is suggested to gain a holistic view of the platform's performance. The rationale for not prioritizing monetization metrics is explained, with the argument that a strong engagement foundation must be laid before monetization strategies can be effectively implemented.

🌟 Final Thoughts and Interviewee Self-Reflection

In the concluding part of the script, the interviewee reflects on the interview process, emphasizing the importance of focusing on a few key metrics rather than listing numerous ones. The discussion includes the importance of preemptively addressing potential issues with chosen metrics and the need for clarity in defining north star metrics. The host provides feedback, commending the interviewee's approach and engagement throughout the interview, and offers advice for aspiring product managers on practicing metric-based questions.

Mindmap

Keywords

💡Product Management

Product Management is the process of guiding a product from its original concept to its delivery to the end user. It involves strategic planning, market research, product design, and lifecycle management. In the video, the interviewee, Neri, discusses his experience in product management, including his internship at Apple and his future role at Facebook, highlighting the importance of this role in driving product success.

💡Facebook Marketplace

Facebook Marketplace is a feature on the Facebook platform that allows users to buy and sell items within their local communities. It is a two-sided marketplace connecting buyers and sellers. The script discusses setting metrics for this platform, emphasizing its role in facilitating local commerce and community interaction.

💡Metrics

Metrics in the context of product management refer to the quantitative measures used to assess the performance of a product or service. The video focuses on how to set these metrics for Facebook Marketplace, discussing various types of metrics such as engagement, retention, and quality that can help gauge user interaction and value extraction from the platform.

💡Engagement

Engagement metrics are used to measure how users interact with a product. In the video, engagement is identified as a key focus area, with the interviewee discussing the importance of understanding how users are actively using Facebook Marketplace and the types of behaviors that indicate long-term engagement, such as clicking on listings and messaging sellers.

💡Two-Sided Platform

A two-sided platform, as mentioned in the script, refers to a marketplace that facilitates interactions between two distinct groups, typically buyers and sellers. Facebook Marketplace is an example of this, providing a platform for individual sellers to list items and for buyers to discover and purchase them.

💡Weekly Active Users (WAU)

Weekly Active Users is a metric used to measure the number of unique users who have interacted with a platform within a week. In the context of the video, the interviewee suggests using WAU as a metric for both buyers and sellers on Facebook Marketplace to understand the frequency of user participation.

💡Transactions

Transactions refer to the actual buying and selling activities that occur on a platform. The script discusses the importance of estimating transactions as a proxy metric for user value on Facebook Marketplace, suggesting that a high number of back-and-forth messages between buyers and sellers could indicate a completed sale.

💡Retention

Retention metrics measure the ability of a product to keep users coming back over time. The video mentions 28-day retention for sellers and buyers as a way to understand the frequency of repeat usage on Facebook Marketplace, indicating a healthy and engaging user experience.

💡Monetization

Monetization refers to the process of generating revenue from a product or service. While the interviewee decides not to focus heavily on monetization metrics for Facebook Marketplace in the video, they acknowledge the importance of considering how engagement can eventually lead to monetization strategies such as targeted advertising or transaction fees.

💡North Star Metric

A North Star Metric is a single, high-level metric that reflects the core value a product provides to its users and guides strategic decision-making. The video discusses the importance of identifying such a metric for Facebook Marketplace, with the interviewee suggesting a proxy metric for the number of transactions as a potential North Star Metric.

Highlights

Introduction of the interviewee Neri, who will be joining Facebook as a product manager post-graduation from Stanford GSB.

The importance of Exponent's community in interview preparation and the interviewee's experience with the program.

The interview question focuses on setting metrics for Facebook Marketplace, emphasizing the platform's role in community and commerce.

Marketplace is described as a two-sided platform for everyday individuals to buy and sell items, distinct from other commerce platforms.

The interviewee outlines a structured approach to problem-solving, starting with Facebook's mission and considering user types and metrics.

Engagement metrics are identified as a key focus area for Marketplace, with an emphasis on understanding how users derive value from the platform.

The concept of 'active users' is discussed, with a proposal to measure activity based on user interactions with listings.

The challenge of tracking transactions on Facebook Marketplace is addressed, with suggestions to estimate sales through message history.

The importance of distribution metrics is highlighted to ensure the platform serves everyday buyers and sellers equitably.

Time spent on the platform as an engagement metric is proposed, with considerations for its potential drawbacks.

Retention metrics, such as 28-day retention for sellers and buyers, are discussed to gauge repeat behavior and platform stickiness.

The interviewee reflects on the importance of not just focusing on engaged users but also considering those not using the product.

Monetization metrics are considered secondary to engagement, with the rationale that a valuable user experience precedes monetization.

The interviewee suggests considering the broader ecosystem and the potential for cannibalization within Facebook's commerce initiatives.

The importance of measuring negative experiences, such as blocked items or reported sellers, to ensure platform quality.

Self-reflection by the interviewee on the interview process, emphasizing clarity, focus, and the rationale behind chosen metrics.

The interviewer provides feedback, commending the interviewee's approach and discussing potential areas for improvement.

General advice for aspiring product managers on practicing metric-based questions and applying theoretical concepts to real-world products.

Transcripts

play00:00

how would you set metrics for facebook

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marketplace

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hey everyone i'm super excited to be

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here today with neri

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to do a product management mock

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interview in today's interview we're

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going to be focusing on a question

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related to facebook marketplace

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but before we get into the pmock

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interview and eric could you share a

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little bit more about yourself

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yeah definitely thanks for having me

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steven i'm just steven and i know each

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other as classmates at stanford gsb

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um before the gsb i worked in consulting

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and this past summer

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i just finished a product management

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internship at apple um and after

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graduation

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i'll be joining facebook as a product

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manager and the exponent program was

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incredibly helpful for me as i was

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prepping both the videos and the course

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component

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itself so um yeah it's great to be back

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full circle

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totally um and it's always awesome at

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exponent we believe strongly

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and community and uh bringing community

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to the interview prep space so it's

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always awesome to have people who've

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been through the experience come back to

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help others

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um so thanks so much neri for taking the

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time and congrats again on your

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successes

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in getting the facebook offer um

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well without further ado i'd love to

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jump into the actual interview question

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today

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um and so the interview question i'd

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love to ask you is

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how would you set metrics for facebook

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marketplace

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so i've used marketplace before as a

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buyer and seller but just want to make

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sure that i fully understand the product

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before i get into cutting metrics

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and so marketplace is a marketplace it's

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two-sided

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there's buyers and sellers and

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essentially it's a platform

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for buyers to be able to discover and

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browse through items and then for

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sellers like an everyday person to be

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able to

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list items and actually attract buyers

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and

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and and sell the items does that have a

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good understanding of it

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yep that's right okay and um

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i think the one of the kind of key

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components of marketplace is that

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it's you know facebook has a large

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commerce platform there's buy sell

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groups there's

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now facebook and instagram shops and so

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i think what makes marketplace different

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in terms of why this product like this

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is it allows anyone to be a seller so

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you don't need to have actually a

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storefront it's

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you know if i'm moving and i want to

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sell all the furniture in my house i'm

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able to kind of quickly

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create a listing and then attract an

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audience um and then also i think it

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like ties to your local community so

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it's

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like area like geography based um is

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there anything else that i'm missing

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that you think would be

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important to call out for studying

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metrics

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that seems like a good list for now and

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we can always revisit it and come back

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to it if we need to

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okay great um so just to kind of share

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my thought process of how i'm going to

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think through this problem

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first i just want to thank overall why

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do we have marketplace where does it

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kind of operate within facebook's

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broader goals

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um and then i'll kind of start thinking

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about the different users and what are

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the types of things that we should be

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measuring

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um and then from there we can kind of

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talk about what are the metrics we

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should be prioritizing because obviously

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there's thousands of things we can

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measure but

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there's probably a few metrics that can

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help drive our team towards a success so

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i want to really focus on what those

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key driving metrics are does that sound

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like a good approach

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yeah let's do it okay great so um

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so first just kind of facebook's mission

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overall is to give people

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the power to create community and bring

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the world closer together

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and marketplace really does that by i

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think the technology really kind of

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leans into that community aspect and it

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gives people that power

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with free and accessible tools and

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technology to

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to to discover items to buy items and

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sell

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um so i think there's a lot of alignment

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with with the mission and i think the

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fact that it's accessible to everyone um

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is kind of a key component that really

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stays true to the mission

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um so i think that the main goal of

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marketplace

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is to allow people

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um to empower buyers and sellers with

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technology that

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allows them to uh buy and sell products

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does that um so i think and and we can

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obviously hone in what does it actually

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mean and be a little bit more tactical

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but as

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kind of an overarching goal does that

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kind of sound like the direction that

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captures uh

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what the product is really about totally

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and i love um for folks watching like an

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area starting with the mission here

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which is really really effective

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and kind of like bubbling down from that

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and i yeah that sounds great let's let's

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jump into it we can talk more about

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um how we'd go about that awesome and

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then in terms of like

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the focus of the metrics i really want

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to focus on engagement

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i'm just given the maturity of

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marketplace i think it's been around for

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i've i've been aware of it for the last

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three years but i think it's been around

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for um

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at least a few years now and so um i

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think that right now the goal isn't

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really about getting more people to use

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it but it's more about

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what what are the ways in which they do

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use it and how are they actually getting

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value

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out of it um is there anything else i

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should keep in mind for the goal

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um i think that sounds good i'd love to

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at the end of this conversation have a

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discussion around trade-offs or how we

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think

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about this goal as it relates to some of

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our other goals like secondary goals and

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maybe how they may conflict or how we

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might navigate that

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awesome okay great yeah so i will um

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just be clear

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focus really on engagement now but then

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as we talk about trade-offs

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i'm really gonna tie in other aspects of

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what might we be missing when we focus

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only on engagement and on other aspects

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sounds good okay great so i'm gonna just

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take um a few minutes to structure

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my thoughts and just to kind of as i'm

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structuring it

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the main questions i'm going to be

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thinking about are when our product is

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wildly successful like what does that

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actually look like because we want to

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set metrics that help us drive towards

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that

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and then also like how are users

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actually getting um value through and so

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i'm going to kind of use those as

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filters

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to help me think through what are the

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main metrics we should be tracking

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great okay

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great so um there's i came up with a few

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metrics i want to just kind of talk

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through them

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and there's a few buckets of the metrics

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the first are really just

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kind of those core engagement metrics

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that would be important to track and

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um we'll just talk a lot through my

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thoughts on that and then the second

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bucket are just kind of thinking about

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the ecosystem at large um how

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marketplace kind of plays in with the

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other commerce initiatives at facebook

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and then kind of the third is maybe what

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are

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some of those quality metrics that we

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need to look at make sure that we're not

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providing a bad experience for our

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buyers and sellers um so i'm going to

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start with the first one um and really

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focus the metrics around the buyers and

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the sellers these are two main user

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groups

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um so the first metric that i am

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thinking about is some sort of

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active user metric um and so i want to

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kind of think about

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what does active mean and what is like

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the cadence and so

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i think that with with buyers and

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sellers a weekly cadence is um

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what is probably most helpful to measure

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i think that there would be a lot of

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fluctuation

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if we look at like a daily active user

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metric because maybe people shop more on

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weekends or list items more on weekends

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um and so i think and i think it's just

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not commerce is an activity that people

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do on a daily basis so i think a weekly

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active user

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metric um would be really helpful for

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both buyers and sellers

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got it um go ahead yeah

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i think with that the other thing i just

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want to make sure that we really get

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right

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is what is what does active mean and

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what is like the type of behavior we

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want to be tracking and

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i think for example on the buyer side

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there's a lot of things we can track

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such as are they just viewing are they

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spending 30 seconds on marketplace are

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they clicking on for post or are they

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clicking on four posts and then pressing

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message to the seller and so

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i really want to work with our data

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scientists team to understand what are

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the types of behaviors that really drive

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uh like long-term engagement um but i

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think that

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right now i'm leading towards maybe

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active is you've put um

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on at least one post um so you're

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viewing marketplace and you click like

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details

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on at least one post for the buyer's

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side so weekly active users

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got it so to summarize a weekly active

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user is someone who's clicked on a post

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at least one post within a week's time

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span

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yeah and then i think weekly active

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sellers as well um and

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to be an active seller maybe you've

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actually posted a listing

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um and yeah with kind of the caveat

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would want to really flush out

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if that activity maybe if 90 of people

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actually do that maybe that's not

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actually a metric that's helpful to

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track and

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maybe it's the second step of actually

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pressing message seller um because

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you're interested in that item

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totally that makes a lot of sense great

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um

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so that's kind of the first area the

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second one is um

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just i actually have a few clarifying

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questions of how marketplace works so i

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understand that there's a lot of items

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that are listed

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if you're interested in it you can

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message seller do we actually know

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if the transaction occurs or how do we

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track that

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yeah that's a great question um so there

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are some ways that we can know that or

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guess at that information based on

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message

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uh history and things like that but we

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can never know for certain since it's an

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in-person interaction right

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yeah so i think that makes it really

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tricky but when i think about that

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question of how do users get value

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it really comes when that transaction

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happens when the sale happens because

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i can look through like five or six

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items per day and you know that might

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show

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i'm an active user but if i don't

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actually prove just that sofa and

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especially

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the seller if they're not actually

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selling that sofa they don't get

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value from marketplace um so i do think

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it would be important to try and

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understand how do we estimate

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um those uh those sales or those

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transactions and so i think a potential

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proxy

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metric is you know maybe percentage of

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or

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maybe listings that have at least six

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back and forth

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messages um where there's at least you

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know one message on each side and so

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kind of the way that i imagine it's

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going is i'm interested in the sofa

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i message is this still available you

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respond yes maybe there's some

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bargaining of price and then you give me

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the address and pick up instructions and

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so i think six is just

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kind of a number i'll throw out for now

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but maybe if there's six messages we're

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really we're highly confident that a

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sale has actually taken place

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got it that makes sense um just to push

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you a little further are there other

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ways on the seller side that we might be

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able to know if

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a sale has been made or other guesses

play10:11

that we can make

play10:12

when we come up with this model yeah

play10:15

definitely i think

play10:16

um if the seller removes the item um or

play10:19

marks it is sold we

play10:21

have good confidence that it's been sold

play10:24

especially if we ask them has this been

play10:26

sold i think one

play10:27

risk with that is if they're removing

play10:28

items because they might have sold it on

play10:30

craigslist or on ebay or they might just

play10:32

be frustrated that they're not getting

play10:33

enough interest or traction

play10:35

and so i think that maybe having a few

play10:36

of these different ways to track it and

play10:38

maybe benchmark them against each other

play10:40

and see

play10:40

how accurate is our like prediction and

play10:43

being able to tell whether an item has

play10:44

been

play10:45

on awesome yeah that's a great point

play10:50

well um i think that's the thing so i

play10:52

mean we have a good sense of how many

play10:54

people are on our platform

play10:55

whether the transaction happens but i

play10:57

want to know how concentrated it is is

play10:59

that you know

play11:00

one buyer that's selling thousands of

play11:02

things per day and then every you know

play11:03

every other person is

play11:04

is not selling anything so i'd want to

play11:06

maybe look at like a

play11:07

a distribution of a buyers and sellers

play11:09

to see like number of

play11:11

purchases per buyer per week a number of

play11:13

sales per seller per week

play11:15

um and potentially even get like a

play11:18

like a p25 to 50 to 90 so understanding

play11:21

you know the bottom 25 percent of users

play11:23

what's that average at the median and

play11:25

then like

play11:25

our super super active buyers and

play11:27

sellers what is their average

play11:29

um and understand that distribution

play11:32

totally that's a great uh thoughtful

play11:34

point like what are you

play11:35

worried about in that case can you tell

play11:37

me a little bit more about why you're

play11:38

looking at the distribution

play11:40

yeah i think what like the main

play11:42

motivation for this metric is to make

play11:44

sure that

play11:45

we actually have it it is like kind of

play11:48

hits our mission that it's in every a

play11:50

tool for everyday buyers and everyday

play11:51

sellers to use and my concern is

play11:53

that you have you know professional

play11:55

shops maybe using this as

play11:57

like selling like new furniture and then

play11:59

like someone like me who's

play12:01

you know moving out of my house and

play12:02

wants to sell my furniture just i'm kind

play12:04

of like

play12:05

the buyer that really loses in this and

play12:07

i think we really want to make sure that

play12:09

we have like a pretty like even

play12:11

distribution

play12:12

throughout and i think that shows that

play12:14

our product is hitting our mission and

play12:16

that we are attracting the right types

play12:18

of buyers and sellers

play12:19

and i also think it would help like

play12:21

later on with like cohort analysis to

play12:22

understand where

play12:24

um where our buyers and sellers fall and

play12:26

maybe we can target these buyers and

play12:27

sellers um

play12:28

for different like advertising or

play12:30

different kind of new product releases

play12:32

based off of

play12:33

the cadence of their purchases

play12:36

got it fine awesome i think the other

play12:40

metric that comes to mind for engagement

play12:42

and i know for a lot of our other

play12:43

products that facebook we use

play12:44

um is is time spent on the platform so

play12:48

like time spent per user

play12:50

um i think that it it kind of shows the

play12:53

value that we are bringing into the

play12:54

product if people are

play12:55

interacting with it a lot and spending a

play12:57

lot of time but i think the potential

play12:58

risk is maybe they're spending a lot of

play13:00

time and they're not actually finding

play13:01

anything so they're like searching for

play13:03

that perfect

play13:04

lamp and they're like spending a lot of

play13:05

time and changing their area a lot but

play13:08

um can't actually find it so i think

play13:10

it's like an interesting thing to

play13:11

monitor but

play13:12

maybe it's not a metric we want to

play13:13

maximize but just

play13:15

really want to have it so that we are

play13:18

understanding if people are actually

play13:19

using

play13:20

our platform and for how long cool

play13:23

sounds good

play13:25

so i think those are the main engagement

play13:26

ones i think that the other kind of two

play13:28

retention ones that might be important

play13:30

are maybe just like a 28 day retention

play13:32

for sellers and buyers to understand

play13:34

kind of the average time between

play13:36

purchases um for each listing um and

play13:39

then maybe some sort of like stickiness

play13:41

that also falls under retention so

play13:43

potentially weekly active users over

play13:45

monthly active users

play13:46

for both buyers and sellers to just get

play13:48

a sense that the content is

play13:50

really like evergreen that people kind

play13:52

of keep coming back for more content and

play13:53

they're finding more and more value

play13:55

um i think that would give us a good

play13:57

sense is like is this kind of

play13:59

hitting that one-time need or are we

play14:00

actually cultivating um

play14:02

like repeat behavior from our buyers and

play14:04

sellers

play14:07

got it yeah that's that's really helpful

play14:09

um well it sounds like we've come to

play14:11

a set of metrics that we feel sort of

play14:12

good about i would love to go back to

play14:14

some of that earlier question around you

play14:15

know we're focusing a lot of engagement

play14:17

retention

play14:17

what are we concerned about or what are

play14:19

the risks here with the metrics that

play14:20

we've picked

play14:22

yeah i think the the risk is is we're

play14:24

focusing on people who are using our

play14:25

product

play14:26

and how they use it but we're not

play14:27

thinking about people who aren't using

play14:29

our product and

play14:30

um my hypothesis is that marketplace

play14:33

might do very well in certain areas so

play14:35

if you have like a lot of

play14:36

people around like a city like you know

play14:38

geographically dense area

play14:40

um but maybe that there's some regions

play14:42

or some areas that it's not

play14:44

that it's not as popular and so we're

play14:45

not really capturing that with these

play14:47

metrics um so in that case i would think

play14:49

about

play14:50

um some awareness um some acquisition

play14:53

uh metrics um adoption and then i think

play14:56

that's kind of earlier in the funnel and

play14:59

then

play15:00

kind of later in the final because this

play15:01

is a product that is really mature

play15:03

it might be good to also kind of track

play15:06

some monetization metrics

play15:07

um to make sure that we are kind of

play15:10

utilizing the user base

play15:11

to be able to like you know target

play15:13

really relevant um

play15:15

ads and how that behavior uh works

play15:18

totally um and you know one more

play15:21

follow-up question

play15:22

sort of towards the end of the interview

play15:23

and feel free to add anything that you

play15:25

wanted to share that we may have missed

play15:26

too

play15:27

but why why didn't we include

play15:28

monetization metrics as part of this

play15:30

set like what was your reasoning and not

play15:33

including those

play15:34

yeah i think um my rationale is that if

play15:36

we really can get

play15:37

engagement right which means that we're

play15:39

showing that not only are users using

play15:41

our product but that they're finding

play15:42

value in it

play15:43

but i think monetization comes after and

play15:45

so if we can really create this like

play15:47

really engaging experience for them

play15:49

then we're able to kind of think about

play15:51

how we bring ads into the mix or how we

play15:53

can potentially maybe charge a fee for

play15:55

the purchases

play15:56

um but if that engagement part is broken

play15:58

then there's no point to get into

play16:00

monetization so that's kind of the first

play16:01

rationale

play16:02

um for that totally it makes a lot of

play16:06

sense

play16:06

um an area this is awesome like is there

play16:08

anything else we want you want to add

play16:10

here

play16:10

in the interviewee mode before we talk a

play16:13

little bit about how this interview was

play16:14

and feedback and things like that

play16:16

yeah i think just the um the two things

play16:19

i'd want to touch on those are kind of

play16:20

the core metrics but um

play16:22

first is like the ecosystem so you know

play16:24

marketplace plays a role within

play16:25

facebook's overall commerce objectives

play16:27

and so

play16:28

there are shops and um you know buy sell

play16:31

groups and a lot of different places

play16:32

even through ads where people can buy

play16:33

products and so i want to

play16:35

make sure that you know we're not

play16:36

cannibalizing it farther than

play16:38

um are kind of aligned with the

play16:41

company's overall goal so i want to kind

play16:42

of look at a few like cohort metrics for

play16:44

cannibalization

play16:45

um and then the second thing is i'd also

play16:48

want to track like when it's a super

play16:49

super bad experience and so things like

play16:51

you know the seller is searching

play16:53

something and there's no results found

play16:54

or

play16:56

looking at items that are like blocked

play16:57

or you know sellers that are reported

play16:59

because of like quality issues or like

play17:01

you know threats or harassment so um i

play17:04

think there's a few buckets that you

play17:05

know

play17:06

if i were the pm for this would kind of

play17:07

spend more time kind of thinking through

play17:09

but

play17:09

um just want to share that that is also

play17:12

as important to measure as it is kind of

play17:14

those good value experiences totally

play17:17

totally

play17:18

um awesome well an area this is so

play17:21

fantastic

play17:21

um it was so great to see your interview

play17:24

skills like to everyone and honestly you

play17:26

you crushed it um would love to hear

play17:29

your own i

play17:30

wrote a bunch of notes about what i

play17:31

thought you did really effectively but

play17:32

would love to hear your own thoughts

play17:33

like what do you think went well with

play17:34

this interview or

play17:35

any self-reflection about it yeah um

play17:39

cool well thank you i i thought that it

play17:42

went

play17:43

pretty well i think something i've been

play17:44

working on was like less is more

play17:46

sometimes and it's probably more

play17:48

interesting to have a discussion on

play17:50

like five or six metrics than to list

play17:52

out 20 or 30 metrics um so that's

play17:54

something that i

play17:55

tried to do but would love to get your

play17:56

feedback on how that works versus

play17:58

being more comprehensive and just

play18:00

listing out there's a ton of things

play18:02

you can list out in the funnel um i

play18:04

think one thing i

play18:05

maybe could have done better has been

play18:06

more explicit on like fire versus seller

play18:09

they are the kind of the two users and

play18:11

been more explicit about what are the

play18:12

actions they take and how

play18:14

what are the metrics we should measure

play18:15

for each um

play18:17

and then i think maybe like being more

play18:18

clear about that north star metric

play18:20

i think the one i would have decided on

play18:22

is that proxy for a number of

play18:23

transactions of

play18:24

like the number of listings that have at

play18:26

least six back and forth messages

play18:28

um and maybe just giving more like

play18:30

rationale why

play18:31

should we be focusing on that i think it

play18:33

like focuses on both the buyer and

play18:34

seller it kind of

play18:35

measures a ton of things but i think

play18:37

just being more clear and explicit with

play18:39

um the rationale for that um rather than

play18:41

just like laying out six or seven would

play18:43

have been helpful

play18:44

totally um those are all great points

play18:46

let me first jump into what i thought

play18:48

you

play18:48

did really well and i can talk a little

play18:49

bit about what you also just mentioned

play18:52

um first of all i thought you you did an

play18:54

excellent job of checking in with me

play18:55

throughout the interview like i was

play18:56

engaged as an interviewer one of the

play18:58

biggest mistakes people make is they

play18:59

think their interviewer is always paying

play19:01

attention which is

play19:02

unfortunately not always the case and so

play19:03

you did a great job of engaging me and

play19:05

making me a part of it um you as i

play19:08

mentioned during the interview you

play19:09

brought

play19:10

in the mission really early on this is

play19:11

so important and you know

play19:13

whether it's facebook or any company i

play19:15

recommend everyone

play19:16

read about the mission and watch a

play19:17

keynote from the company before you

play19:19

interview so you can bring that into

play19:20

your answers so that was really really

play19:22

effective i thought

play19:23

um i liked the the discussion on the

play19:25

engagement was really smart like you had

play19:27

a lot of thoughts and

play19:28

you know there were points where you

play19:29

called out i'm going to decide weekly

play19:31

because of this

play19:32

or i'm going to explain and you kind of

play19:33

explain your thought processes

play19:34

throughout which is really really

play19:36

effective

play19:36

and i thought we came to a set of

play19:37

metrics that did really make sense

play19:39

um the one that felt the hardest to me

play19:42

was the time spent one

play19:43

just because there's like this ongoing

play19:45

trend of facebook you know sucking up

play19:46

all our time

play19:47

versus you know that clearly is a useful

play19:49

metric sometimes but

play19:51

marketplace maybe is a more

play19:52

action-oriented or intent-oriented

play19:54

experience and so it might not be good

play19:56

that people are spending too much time

play19:58

searching for a product or experience um

play20:00

and you know i if we had a little bit

play20:02

more time i might have pushed you more

play20:03

on that and we might have had a really

play20:04

thoughtful discussion um but i did what

play20:06

i did really like that you did is you

play20:08

called it out during

play20:09

bringing it up you you sort of said this

play20:11

is my metric you know i'm a little

play20:12

unsure about some of this or you know

play20:14

this is

play20:14

maybe something you want to watch out

play20:15

for and it did help

play20:17

me ease my nerves and that's almost why

play20:19

i didn't ask that follow-up question is

play20:21

because i was like okay an area already

play20:22

seems like she

play20:23

kind of has a sense of what's going on

play20:25

here um

play20:26

i i thought the buyer versus seller

play20:27

comment that you made about yourself

play20:28

would be effective you know segmenting

play20:30

those out and thinking about those

play20:31

this is just such a clear marketplace

play20:33

thing that it's nice to kind of like

play20:34

segment them

play20:36

um i think you know i loved the focus

play20:39

like i definitely don't think you should

play20:40

have mentioned more metrics and

play20:42

i actually liked that you mentioned more

play20:43

but you're like you know i'd focus on

play20:45

these

play20:45

i think focus for the metrics questions

play20:47

are always so important because it is

play20:48

really easy to just talk about

play20:50

all the metrics in the world you know

play20:51

like you can just keep talking about

play20:52

different

play20:53

cool metrics that you can measure so i

play20:55

really like that

play20:56

i think um if i yeah and i

play21:00

agree generally it does help to pick one

play21:02

north star metric or one or two north

play21:04

star metrics we had four which are

play21:06

a little bit pushing it like um it was

play21:09

good overall and i got a sense from you

play21:10

about which ones are important but

play21:12

um yeah like for those who are watching

play21:14

north star metrics are kind of like your

play21:16

primary metric or the metric that you

play21:17

would focus on um

play21:19

so overall but overall an area this is

play21:21

awesome you crushed it like this is such

play21:23

a great

play21:24

crisp example of an interview for the

play21:26

metrics based questions which can be

play21:28

very intimidating to a lot of product

play21:30

managers or aspiring product managers

play21:32

because it you have to kind of figure

play21:34

out like how you think about these

play21:35

metrics how you talk about them

play21:36

um and it really helps to have a lot of

play21:38

practice and it it shows that you did a

play21:40

lot of practice so that's awesome

play21:43

i want to leave some space an area if

play21:44

you had any reactions thoughts comments

play21:46

or any tips for folks watching before we

play21:49

wrap the video

play21:50

awesome yeah thanks steven that was

play21:52

really helpful i do think that

play21:54

um and i think i can be more clear with

play21:56

articulating the risks

play21:57

and preempting it so i think i like

play21:59

touched on it but being more clear

play22:01

with maybe even like i think it's an

play22:02

interesting and engaging conversation to

play22:04

be like

play22:05

broader do we even want to have a metric

play22:07

that is going to suck up people

play22:08

people's time and what's happening right

play22:10

now in society of people kind of

play22:11

questioning that time

play22:12

i think that would have been an

play22:13

interesting discussion so maybe opening

play22:15

the door for some of those

play22:17

um and i think uh yeah so i mean i think

play22:19

the feedback

play22:20

it all makes a lot of sense um and

play22:22

definitely honing on one

play22:23

north star metric i i highly recommend

play22:26

and and

play22:27

think that that's really important um i

play22:29

think in terms of general tips

play22:31

i think that there there becomes a point

play22:34

when you're kind of like studying where

play22:35

you

play22:36

like you kind of understand the concepts

play22:38

um like you like you know that there's

play22:40

all these concepts that are available

play22:41

and then when you really understand them

play22:43

and truly understand how they relate and

play22:44

so

play22:45

um what's been really helpful for me is

play22:47

really just like look at any product

play22:49

that you interact with whether it be

play22:50

digital or physical

play22:51

and really think about like what would

play22:53

an awareness metric look like for this

play22:55

what would an acquisition metric look

play22:56

like what are the engagement metrics um

play22:58

and really when you can take those like

play23:00

textbook concepts that exponent does a

play23:02

really great job of explaining and then

play23:03

bring it to your real world

play23:05

um i think that it starts to like sink

play23:07

in um and

play23:08

then you kind of get this like new level

play23:09

of understanding so

play23:11

that is my awesome everyone yeah well

play23:14

thanks denary

play23:15

for the kind words um folks watching uh

play23:18

definitely leave comments below if you

play23:20

want to have any questions about this

play23:21

interview

play23:22

or for me ordinary we're here to help

play23:25

um and thank you again so much and area

play23:28

for being on the show

play23:29

for folks watching good luck on your

play23:31

upcoming interview

play23:33

good luck bye thanks so much for

play23:36

watching

play23:36

don't forget to hit the like and

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subscribe buttons below to let us know

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that this video is valuable for you

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play23:44

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play23:49

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