Essay cover — No. 16

The Future of Marketplaces

Unpacking the rise and fall of 2-sided marketplaces: A look at the network effects that fueled their growth—and the challenges unraveling their value in a post-free-money era.


Reader note: This is unedited post of an unpublished write-up from December 2022. I didn’t publish at the time as there was more I wanted to say.

Things have obviously moved on – some companies recovered (e.g. Uber, Amazon, Air BNB, Carvana), some failed (e.g. Farfetch) and some are still trading at depressed values or entering new lows (e.g. Meituan, Alibaba, Fiverr, etc). However, I think there is a lot of useful concepts in this essay as it stands. I am presently (April 2024) still contemplating many of these learnings and the closing questions in the conclusion.

The concept of 2-sided Marketplaces

2-sided marketplaces gained huge prominence in the last cycle, but the model is now in major doubt. Marketplaces fundamentally seek to match buyers with sellers, bringing value to all participants, which grows as the network expands – ‘network effects’.

There is a central difference between the old and new economies: the old industrial economy was driven by economies of scale; the new information economy is driven by economics of networks.

Carl Shapiro and Hal R. Varian, Information Rules 1

2-sided marketplaces have been some of the most impactful New Economy businesses. The model is used across multiple sectors/product, as I set out below, but the fundamental economics / strategies are essentially mostly the same:

  1. The initial phase involves ‘burning’ capital to acquire customers. The burn is either on Brand Advertising or Customer Incentives (promotions, discounts, free shipping, etc).
  2. As a platform captures a % of the growing buyer and seller transactions through the marketplace, network effects push down the cost of acquisition, as more traffic is organic.
  3. At a certain stage, (the hope is) unit economics become positive
  4. Eventually economies of scale lead to bottom line profits.

The model exists across multiple product categories, which all share this same common DNA.


Marketplaces sample and categories

I looked at 55 of the largest listed marketplaces across 12 categories.

All these marketplaces have a Third Party seller ‘3P’ business which earn a ‘take rate’ from gross transactions on their marketplace – depending on the category referred to as GMV / GTV / Gross Booking / Gross Services Value etc.

eCommerce and on-demand are the biggest slices of the sample

Listed two-sided marketplaces analysed, by category (n = 55)

eCommerce and on-demand are the biggest slices of the sample

Marketplaces in Numbers

I’ve looked at how marketplace valuations changed between their highs and 31 December 2022 and their latest quarterly performance.

Highlights include:

  • All categories underperformed the Nasdaq
  • 62% of marketplaces are loss making. This despite an average of 18 years operations, and being of sufficient scale to be listed.
  • For the sample, approaching USD 4 trillion in market cap has been lost from the highs. The median decline in share price is 79% – this is more than bitcoin
  • Some categories are fairing much worse than others – e.g. Homebuyers and Freelancers – with many individual names down 90+%. We are approaching dot-com-bust levels of deterioration.
  • 100%, or 10 of 10 on-demand transport and services businesses were loss making

Declines in market cap – PERCENTAGE decline from Covid high to December 2022

The worst performers from Covid High to 31 December 2022 were two auto marketplaces, down 98% and 99%.

The median decline in share price is 79% – this is more than the decline in bitcoin.

Meanwhile, the delta on the Nasdaq composite was 35%.

The typical marketplace lost about 80% of its value from the Covid peak

Share-price decline, post-Covid high to 31 Dec 2022 (%). QQQ = Nasdaq-100 benchmark

The typical marketplace lost about 80% of its value from the Covid peak

Declines in market cap – NOMINAL decline from Covid high to December 2022

On a nominal basis, the biggest post covid loser was Amazon, which lost a whopping USD 1 trillion.

Amazon alone shed a trillion dollars of market value

Market-cap decline, post-Covid high to 31 Dec 2022 (USD bn)

Amazon alone shed a trillion dollars of market value

The Amazon Story in numbers

Amazon is the poster-child for two sided marketplaces. However, this cycle is not the first time Amazon has seen big declines. I’ve annotated other declines in the chart below.

But this time Amazon has gone from being a cash cow to losses on a free cash flow basis, which is concerning. I believe they are suffering from ‘Factor 4’ in the list of marketplace decline drivers below.


Why have all marketplaces gone out of favour?

So what is happening? Why have 2-sided marketplaces seen such a steep decline relative to the Nasdaq?

Fundamentally, i think there are five key factors:

FACTOR 1. The marketplace model is predicated on ‘network effects’. But some categories don’t seem to have the same degree of network effects as others.

Many well know marketplaces are struggling to organically aggregate demand and gave been relying on incentives to do so. My belief is companies with super heavy marketing spend which haven’t yet tipped to organic, don’t have a network effect.

FACTOR 2. Not all marketplaces are created equal

Bill Gurley set out 10 factors to consider when evaluating marketplaces in “All Marketplaces are not Created Equal” in 2012.

Many recent marketplace categories score badly against his criterion and perhaps should not have been pursued.

In the graphic, I’ve adjusted Bill’s factors a little, and set out examples of good versus bad for each factor.

FACTOR 3. Valuation fundamentals were forgotten

During a decade of free money, investors began to value tech growth above all else. Valuation metrics for marketplaces moved up the income statement from Price / Earnings to Price / Revenue, or even Price / GMV. The assumption was as marketplaces scaled they would achieve network effects and flywheels, and become profitable / free cash flow generative – in a similar vein to Amazon.

However, 62% of marketplaces in my sample are still loss making. This despite an average of 18 years operations in the sample.

Every marketplace category fell further than the Nasdaq

Performance of major marketplaces, post-Covid high to 31 Dec 2022. Shading = average decline.

CategoryMedian
% off high
Average
% off high
Sample
size
Av. years
operating
% loss-
making
Aggregate
mkt cap ($bn)
Aggregate
value lost ($bn)
eCommerce-73%-71%1418.757%1,461.62,382.8
Home buyers-86%-81%617.567%31.2168.7
Auto buyers-98%-76%315.767%5.879.7
Travel booking-43%-41%423.025%169.2137.1
On-demand-79%-74%1012.0100%265.2605.6
Digital art-59%-59%120.00%1.92.7
Securities-28%-42%726.014%226.5200.5
Aggregators-38%-38%130.00%1.00.6
Video & music on-demand-80%-73%318.767%150.7259.2
Telehealth-92%-92%121.0100%3.846.0
Online learning-81%-80%316.3100%3.412.5
Freelancers-88%-88%210.5100%2.518.5
Total two-sided marketplaces-79%-68%5518.362%2,323.03,913.9
Nasdaq Composite-35%
Bitcoin-75%

Analysis by me. % loss-making as of 3Q22.

FACTOR 4. Free money made companies careless

With a hurricane of 30tn QE at their backs, and encouragement from notable VCs, tech companies threw money at scaling up and growth, with little regard for unit economics.

Because there was so much free capital available to do things like finance receivables etc a lot of marketplaces were doing this. But by funding low margin businesses, they became low margin themselves.

We’re now seeing wholesale cost-cutting and product/geographic rationalise across tech, with Elon Musk’s actions at twitter demonstrating how much ‘fat’ there was in the system

Tech layoffs jumped in 2022 across almost every industry

Employees laid off (’000), by industry, since Covid-19. Source: layoffs.fyi

2022  2021  2020

Tech layoffs jumped in 2022 across almost every industry

FACTOR 5. Over investment during 2021, as marketplaces assumed the Covid Bump would continue

In reality we’re going back to trend. The aberration was 2020 and 2021. As such, platforms such as Amazon and Shopify are seeing reduced profitability.

I have pasted below an extract from a public note from Spotify explaining how they misread the cycle / demand pull-forward effect.


What comes next?

This is what I believe will happen:

  1. Revenue declines in 2023, due to recession and reduced sales incentives.
  2. Absolute focus on path to profitability – customer incentive cuts, job cuts, exits of unprofitable markets (geography or products), price rises, etc.
  3. Ultimately, customers will determine if marketplaces have a viable business (profitable revenue). Some will fail.
  4. I also expect large mergers to drive scale and fundamentally improve unit economics through reduced competition.

The below is an extract on Carvana’s turnaround plan – key cost optimisation initiatives etc.

Carvana’s turnaround plan, area by area

Key cost-optimisation initiatives and the early results reported against them.

Business areaKey initiativesRecent results
Retail cost of sales
  • Reduce third-party production volume
  • Reduce third-party vendor services share
  • Reduce third-party inbound transport share
  • Internal benchmarking / performance mgmt
  • Units produced in Sep’22 had ~$200 lower non-vehicle costs than Q1
  • Top reconditioning centres (~25% of units) ran ~$250 better than the average centre
Wholesale cost of sales
  • Use ADESA locations to cut inbound transport cost and cycle time
  • Average inbound transport costs down 13% QoQ
Customer care
  • Automate manual tasks
  • Simplify advocate workflows
  • Enhance customer communication
  • Cut duplicated or low-value tasks
  • Internal benchmarking / performance mgmt
  • Customer verifications per hour +25% QoQ
  • Customer-care calls per sale down 20% QoQ
Last-mile delivery
  • Staffing and scheduling optimisation
  • In-source third-party pickups
  • Pair retail and car-buying activities
  • Increase vending-machine utilisation
  • Internal benchmarking / performance mgmt
  • Vending-machine utilisation +24% QoQ
  • Retail deliveries paired with car pickups more than doubled QoQ
  • Last-mile deliveries per advocate hour +7% QoQ
Logistics expense
  • Staffing and scheduling optimisation
  • Reduce average outbound miles
  • Reduce third-party shipping
  • Improve network load balancing
  • Improve trip and staging execution
  • Network utilisation +8% QoQ
  • Average shipping miles down 10% QoQ (a further 10% since quarter-end)
  • New-management logistics hubs ~10% more efficient than average
  • Third-party spend per unit down >25% QoQ
Advertising
  • Shift spend toward higher-efficiency channels
  • Conversion drivers: co-signer offering, faster delivery, lower rescheduling
  • Conversion dip from higher rates offset by efficiency gains
  • Actively testing further optimisation
  • Oldest cohort $600 per retail unit below company average
Market occupancy
  • Consolidate Carvana and ADESA locations in overlapping markets
  • Market-occupancy expense down 4% QoQ
Other SG&A
  • Standardise limited-warranty processes across locations
  • Consolidate corporate and customer-care offices
  • Reduce discretionary spend
  • Limited-warranty cost per unit down 24% QoQ

Conclusion

As an investor, i’ll be considering the 10 Bill Gurley factors at such a point in time as I allocate to marketplaces in the future.

Fundamentally, in valuation what we have to remember is multiples are just a proxy for distributable free cash flow at some point in the future. I.e. what REALLY matters is the free cash flow* – ie the money that one can ultimately take out of the business. Don’t lose sight of this!

As I look forward to 2023 and beyond, these are some of the questions I’m pondering, and I feel investors should be considering:

  • Does the marketplace vision – i.e. burn cash to scale up and build network effects and flywheels; then monetise acquired customers by expanding across verticals etc – still work without QE and ‘free money’?
  • Why do some categories have more powerful network effects than others? What has history taught us about the factors that make for a successful 2-sided marketplace? Are marketplace models simply not suitable for some sectors?
  • The economics of marketplaces – How and why these are so misunderstood by many investors and business people. What are the Northstar metrics and benchmarks we should be contemplating in this new macro environment?
  • What happened to marketplaces in 2022? Why did Amazon’s cash cow turn back into a cash burning machine?
  • What are the implications of a recession? How will marketplaces respond?
  • Why post-pandemic S curves differed across geographies?
  • Has the pandemic altered Merchants views of marketplaces – e.g. are marketplaces bringing new customers to merchants or simply charging merchants and what are the implications?
  • Which categories are most under threat from direct to consumer / eCommerce enablement,
  • Where do we go from here? What is the redemption ark / pathway to default alive? Will we see corporate failures, fundamental restructurings, mergers, etc?
  • Will Elon Musk’s drastic cost-cutting at twitter, become a blueprint for Private Equity to take-private marketplaces (and other tech businesses) and do the same?

*My preferred value creation metric is free cash flow per share, or alternatively written: free cash flow LESS share based compensation.

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