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What are the important metrics a PM for a luxury goods eCommerce website should look at?

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Understanding the product:

I am assuming website selling luxury goods directly to the consumers. Categories including designers clothes for men and women, watches, apparels, high-end furniture etc. A high-income group is a target customer base.

Goal:

Options could be:

  • To increase its gross merchandising value(GMV) or gross revenue. 
  • To increase its net profits 
  • To increase the customer base irrespective of the profits 
  • To increase customer retention
I assume GMV doesn't make much sense in this case because its already dealing in high items and less quantity could also make a more GMV. Money won't be an issue for high end customers. Hence, I would assume to focus on increasing customer retention and expand its user base.
Awareness:
  • # impressions on display ads, search ads, and print ads.
  • # views on content marketing blogs, posts on elite clubs pages, etc.
Acquisition
  •  # visitors increased on the website during and after the marketing campaigns
  • # repeated visitors after the campaign
Conversion
  • #people adding products in the basket
  • #people reaching till payment stage
  • #people checking out and actually buying
Retention
  • # users repeatedly buying per week and per month
  • #returns per month per category 
Referral
  •  # referral code has been sent per week by the users to their friends
  •  # referrals have been used per week
  • # increase in users through referral codes
Summary
The goal of an e-commerce company is to increase revenue by expanding the user base and increase customer loyalty.
I identified the user flow and through the process found some metrics to measure progress at each stage of interaction with the website right from landing to exiting the website.

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1. Understanding the product
The product is e-commerce website for luxury goods. When we talk about luxury goods, the understanding is that the product prices are catering to people on the wealthier side. Apart from, the target audience and the price range of the product the features of the e-commerce website are assumed to be similar to that of a normal -commerce website.

2. Goal of the website
I assume that since it is luxury goods market wherein the cost of acquisition of products is high, and therefore the main goal is conversion. So let the primary goal of the website be of conversion, leading to generation of revenue.

3. Walking through the customer journey
->customer lands on the home page
-> either the customer finds a product interesting on the home page and clicks on it/has landed on the product from an ad/ searches for a particular product and then clicks on it/ or through reference
->customer reviews the details of the product, sees the cost of the product, reviews the feedback of the people, sees the page
->customer either abandons or selects the product for buying
->customers fills the shipping the details
->customer pays the cost
->customer confirms the buy

4. Mapping the user behavior to the customer journey

Awareness : Since it is a luxury goods website. My end target is to drive home the customers that can afford the luxury goods. And therefore, I need to ensure there is awareness in that group. It is highly likely the traffic can also be from people who are doing window shopping, but will never be buying or most unlikely to buy.
Therefore, based on previous source of information of customers, I will perform a cohort analysis of the traffic to identify the % of traffic from the ideal TG. Monitoring this will ensure whether I have the right group to approach for conversion.
I will also capture the keyword searches among the social network to understand the awareness.

Acquisition/Activation : From the identified TG, I would then measure:
% of users signing up for the website and completing it
% of growth in number of new users

It is only those users that become a part of the community that we can have targeted channels to capture, and thus have the client profile and becomes a good candidate for conversion.

Engagement: % of people viewing the products
% of people viewing the reviews
% of people that are on the product page for more than 10 sec – this helps us further analyze or target as these are the people who might be interested in the product
% of people scrolling the images – again indicates interest
% of people that came via search and left the page within 10 sec – these are the people that probably did not find the product they were looking for and hence can indicate a pain point that we need to tap

Retention
evaluate the cohort analysis to understand the retention over a month
% of active users who repurchase
% of active users who come back to leave reviews
product return rates

Revenue
average spending per active user
% growth in the average size of transaction
frequency of transaction

Referral
In case of luxury good referral is essential as it works as a certificate of trust
% of users sending referrel
% of converted referrels

5. Evaluating the metrics
Based on the product of luxury goods,
it is essential that the right TG is identified and then we have a constant loyal customer base developed with the customer group, that will ensure that our reach continues to grow based on their feedback to the people they know

Therefore, the main metrics are from Acquisition, retention and referral and also % growth in revenue and average revenue per user

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Luxury Goods e-commerce

I would tell the assumptions I am making and check for the website
Assumptions
The website sells directly to end customers.
It is like Amazon for luxury items.
It sells legal stuff.

Metrics
Acquistion

  • New users per day/week/month
  • % change in CAC per user on day/week/month
  • % change in source of traffic such as organic vs paid, Google Adv vs Facebook Adv

Activation

  • % change in users who do first time add to cart on week/month time
  • avg time taken for first time add to cart
  • % change in avg time taken for first time add to cart
  • % change in users who buy for first time on week/month time

Retention

  • % users who come back on weekly/monthly basis
  • % users who buy on weekly/monthly basis

Revenue

  • % change in Grorss Merchandise Value (GMV)
  • Absolute $ value of GMV on daily basis
  • Number of items sold on daily/weekly/monthly basis
  • Avg order size

Engagement

  • avg number of pages visited per user
  • avg time spent by a user on the website
  • avg support chats per user
  • avg number of images viewed per product
  • avg number of ratings and reviews per product
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Great list of metrics. I would also add ‘Number of visitors who sign up for newsletter / emails about new products’. And in source of traffic, I would also add ‘Visitors who come from email campaigns or newsletter’
3
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Clarifying questions:

  • What kind of luxury goods does this ecommerce website sell? (Mostly beauty / fragrance products)
  • Is this the only category of products?
  • Does this website sell other products as well (normal priced)? No
  • Do you have a website or an app as well? Just a website
  • Is it operating on a D2C model? Yes we are selling our own products, not sourced from any other luxury brand.
  • Are your products available on other e-commerce retailers like Amazon/ Flipkart/ Nykaa etc. No
  • Where is this website operating? India
  • What does the entire user funnel look like on the website? (user signs up/ logs in, homepage with various categories and sub-categories etc, catalog page for the selected category, PDP page with customer reviews, price, product description / images etc, cart page, checkout etc?
  • What is the end goal that we are trying to achieve over here so that accordingly I can look at the metrics? (being a new brand in the market we are mostly looking at adoption & engagement boosting)

Goal:

Being an early stage product our end goal is to boost adoption & engagement:

Adoption: Making sure that enough people are discovering our product

Engagement: making sure that enough people are performing a core action on our product.

For any e-commerce website: core action → purchasing products / conversion , adding to cart / wishlisting (intent of buying)

Actions:

Adoption:

  • user would discover the website via 3 different channels : social media page / organic / referral (word of mouth)
  • user would land on the website, create an account / activate an account

Engagement:

  • user lands on the homepage and checks out various categories / sub-categories available/ offers / banner listings etc.
  • user can also search for a specific product/ category etc.
  • user would select a specific category and land on the catalog page
  • user can apply filters to refine their search basis subcategory, price range, user needs (skin type, makeup/ skincare etc)
  • user will select a product and land on the PDP page with description, price, offer, customer reviews etc.
  • user can add the product to cart / wishlist
  • user will go to cart page and add coupon / offer if applicable
  • user will checkout (add necessary details like mobile number, address, email etc.) can save these details as well
  • user will complete payment

Anywhere from the above funnel the user can churn.

Metrics:

Adoption:

  • Number of users coming on the website from different channels (organic, referral, social media)
  • Average amount of referral cash earn & burn (monthly)

Engagement:

  • Most searched products / category / ssub-category etc.
  • Most applied filters on the catalog page (For eg: price buckets / which user need is the highest)
  • No. of products added to wishlists which are then added to cart (monthly)
  • No. of products added to cart which are then converting into fulfilled orders. (weekly) / cart abandonment rate / churn rate
  • ATV of the products purchased (price propensity of the people)
  • No. of products per order
  • Average frequency of purchase
  • Total number of orders that are falling into success / failed / pending state (weekly)

Evaluate:

  • Being a D2C brand we need to identify which acquisition channels are working the best for us.
  • Being a new name in the market, it is important for us to track which products/ categories are in demand, this would help us target our users better when it comes to marketing communications / giving offers / promos etc.
  • As we are a luxury ecommerce platform our product prices are higher and operating in a very price sensitive market so we need to look at user intent when they buy (How many people are adding products to cart and then not completing purchases, frequency of purchase, volume play or margin play?
  • Basic sanity check of the payment and checkout process how many orders are failing, why are they failing (Payment gateways not working, technical issue with our offer / coupon engine/ payment modes not working) (imperative for every e-commerce website.

 

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What are the important metrics a PM for a luxury goods eCommerce website should look at?

 

Thank you for the question. Let me take a few seconds to gather my thoughts.

 

Let me start with some clarification questions first - 

 

1/ Can u tell me more about this eComm site on luxury goods? Specifically - what are we selling, what is the selling cycle, who are the sellers, who are the buyers?

Lets say high end watches

Buyers are  high end customers wanting to buy watches, repeat customers are low, sales are few but high ticket price

Sellers are any other owners, luxury brands

 

2/ What is the goal of this site? Is it sales(revenue), repeat customers, reduction in returns, increase in inventory?

Sales

 

3/ Where is this site located? US? World wide? US

 

Thank you for this information. Let me lay down the structure of my answer and walk u thru that

 

1/ Users

2/ Use case

3/ Journey along the use case

4/ Metrics along each step of the journey

5/ Highlight metrics that are of high importance and relate to the goal

6/ Summary

 

So lets dive into each of these

 

1/ Users

Type 1: Buyers -> they want to buy high end watches

Type 2: Private sellers -> they want to sell their high end watches

Type 3: Luxury brand sellers -> they want to create a online sales channel

Type 4: Curators -> they curate the items sold by private sellers to make sure they are genuine luxury brands

 

2/ Use case

Type 1: Buyers -> Interested in buying a luxury brand watch and buy one

Type 2: Private sellers -> Interested in selling their watches 

Type 3: Luxury brand sellers -> Interested in creating a sales channel (online)

Type 4: Curators -> Make money via curating watches

 

3/ Journey and metrics

Type 1: Buyers -> 

  • Come to the site directly or via SEO/SEM

    • Metrics - # of visitors from different channels -  SECOND LEVEL IMPORTANT

    • Metrics - Drop offs - SECOND LEVEL IMPORTANT

  • Search for the item with name or features or price

    • Metrics - # of visitors doing searches - SECOND LEVEL IMPORTANT

    • Metrics - # of searches done per visitors - SECOND LEVEL IMPORTANT

    • Metrics - Drop offs - SECOND LEVEL IMPORTANT

  • View the item (images, video), read details on the product, interact with the seller, view curation report, view reviews on the seller

    • Metrics - # of visitors doing dive dive - accessing literature, videos, images

    • Metrics - # of visitors posting questions

    • Metrics - Drop offs

  • Add watch(es) to cart

    • Metrics - # of visitors adding watch to a cart, average cart price - SECOND LEVEL IMPORTANT

    • Metrics - Drop offs - SECOND LEVEL IMPORTANT

  • Check out and pay

    • Metrics - # of visitors doing purchases

    • Metrics - Total sales per visitor and overall - MOST IMPORTANT

  • Track delivery

    • Metrics - # of on-time delivery

  • See funds getting deducted from their pay channel

  • Receive the product

    • Metrics - # of products delivered safely 

    • Metrics - # of products damaged in delivery

  • Review it

    • Metrics - # of reviews left by buyers

    • Metrics - # of reviews left per watch

  • Return if not like it else keep it

    • Metrics - # of buyers returning products - SECOND LEVEL IMPORTANT

    • Metrics - # of sellers whose products are returned - SECOND LEVEL IMPORTANT

    • Metrics - # returns per sku - SECOND LEVEL IMPORTANT

    • Metrics - loss in revenue due to returns  - MOST IMPORTANT

 

Type 2/3: Sellers/Private sellers ->

  • Come to the site directly or via SEO/SEM

    • # of sellers on a product - SECOND LEVEL IMPORTANT

  • List their product on the seller portal of the site

    • # of skus listed per seller - SECOND LEVEL IMPORTANT

    • # of items/sku listed - SECOND LEVEL IMPORTANT

  • Send in their product to get it curated and rated

    • # of items curated as good/sku

  • Take it back or leave it with us for us to sell it for them

  • Interact with the buyer if they have any questions

    • # of interactions per seller per potential buyer

  • Set up bank account with us to deliver their funds when a product is sold

  • Once the product is sold, update the inventory (if sold by us)

    • # of items/sku sold per seller

  • Once product is sold, ship it to the buyer

    • # of ontime shipments done

 

Type 4: Curators (not gonna dive into them)

  • Sign with the site for being a curator, submit credentials that confirm they being genuine curators

  • Come into our local holding center to curate items once or twice a week

  • Get a payment on monthly basis

 

Summary -

 

Important metrics from a buyer journey are

1/ total sales in a given time period

2/ total sales returned in a given time period

Support metrics

1/ Funnet and drop off in the given time period

 

Important metrics from a seller journey - 

1/ # of sellers listed

2/ # of products listed per seller

 

3/ # of listed products curated as good to sell

 
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Clarification

  1. What kind of luxury goods?

Assumption- Like apprarel, watches, bag, makeup items

 

  1. Geography- India and developed countries
  2. Does this ecommerce site has stores as well? - No

 

Describe the product

The ecom site helps the users to save their precious time and get the genuine products at a relatively lower price at their door step. People can even send the gifts directly from the site to the respective person. All the brands are available under one roof. Hence, there is no need to visit the stores of each brand. All the major cards are accepted for the payment and easy return makes the ecom site better from user experience stand point.

 

User segment

  1. Frequent buyers
  2. Occasional buyers
  3.  Sellers
  4. Delivery agents

 

Goal of the product is to generate revenue

 

User Journey

User register in the application

User login thru the credentials

User search about the desired product

User wishlist a range of products

User adds them in the buying list

User add the shipping address

User makes the payment and close the transaction

 

Metrics

  1. Average number of sales happens in a day by the unique users just after 15 mins of registration
  2. % increase in the sales by daily active users every month
  3. Average number of users cancelling the orders and not rebooking the same just after 24 hours of 1st booking
  4. % increase of users asking for the refund and return after receiving the product
  5. Average number of users asking for the product replacement instead of cancellation and refund
  6. Average number of users who is referring the site to another user
  7. % increase in the size of the transactions by a user on monthly basis
  8.  Rate of repurchase the product by a user
  9. % increase in the daily active users just in the 15 mins of registration
  10. Average Time spent by the users on the site everyday and the number of times the user reaching to the stage of payment

 

Evaluation

Since the goal of the product is to increase the revenue and to ensure that the customer base should increase day by day.

 

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For any ecommerce store, I think it's first important to understand where the website is in their journey. Have they newly launched? Are they crossing the chasm into the growth phase? Do they already have a loyal user base and now are trying to expand? 

Let's assume they are in the newly launched phase. Some ecommerce metrics I would track are: 

Acquisition: 

  • Number of inbound leads (for a luxury site especially, word of mouth and influencer recommendations are important)
  • Bounce rate 
  • Number of email signups
Activation: 
  • Number of completed registrations 
  • Average click through rate 
  • Number of adds to cart 
 
Retention
  • Conversion rate
  • Number of repeat visits
  • Number of repeat purchases
 
Monetization
  • Revenue
  • Profits
  • Gross Merchandise Value
  • Average Order Value
  • Average Basket Size
 
Given this is a newly launched service, I would focus on email signups and repeat visits. As a luxury goods store especially, getting more users to learn about my products and buy into the experience is important. The value of my items is high and I want to enhance the appeal of my products through their limited nature, so I want to create an experience that pushes user interest. 
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Luxury goods ecommerce website is basically an online way for a luxury goods brand to sell its product. For this purpose, I will assume that the store already has offline presence and this is another channel for them to sell, and that the user is probably a wealthier user that already owns luxury goods

 

The goal for this is monetization as the merchant would like to make money and sell their product and retention as it’s a leading indicator of monetization.

 

Looking at the customer journey we can find metrics that impact the different levels of the journey:

 

Awareness:

# customers that view facebook add / google ads / blog posts

# influencer marketing initiatives

 

Acquisition:

CTR – click through rate per add type

CPA per add type

# new landing page views and % growth

% organic users and type

% paid users and type

 

Activation:

# newsletter sign ups per month and % growth

# blog sign ups per month and % growth

 

Engagement:

Email CTR rate

Avg session length 10+ sec or 2+ page views or 2+ clicks

# pages visited per session

Top products visited

# views per product / # images per product / # reviews viewed per product

Avg support chats per user

 

Retention:

% users who repurchase

Frequency of repurchase

Product return rates

Distribution of user reviews

Distribution of User reviews per product

Checkout drop off rate

 

Monetization:

MRR à monthly recurring revenue online vs offine and % growth

Avg # of items per checkout

Avg $ per cart

Avg $ per user

# items sold per month

Online sales per geographic location

 

Referral:

% users that refer

% referrals that convert

 

Technical:

Avg time for page download

 

Since the purpose is monetization, and in terms of relevance, confidence, ease and impact to user, I would look at the following metrics that would lead to this monetization piece:

 

CTR – click through rate per add type

% users who repurchase

Product return rates

MRR à monthly recurring revenue online vs offine and % growth

Avg revenue per user

# items sold per month

 

Summary: The product is a luxury brand ecommerce site that is wanting to generate revenue and monetize the business. We looked at the metrics that would have the most impact on monetization directly and indirectly.

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As a 1st step, I will try to understand whether the PM is responsible for growth or revenue. Let's say this case is about a PM who is not worried about acquisition. Since this a luxury goods portal, I expect following about consumer behavior and revenue model:

  1. Avg users will not make frequent purchases (Reasons: less # of affluent people, more competition, aspirational users will make less frequent purchases.)
  2. Average margin per sale will be higher
I would recommend that we should try to optimize the product experience, efforts and time available for improving following two metrics:
  1. % change in active shoppers per quarter
  2.  % change in # of transactions per user per quarter
* We should log all, measure few and chase only that matter.
* I made assumption that type of goods available are of following categories: Art work, Wines, Jewellery, Watches, Furniture etc
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