Platform Metrics: The core metric for platforms, networks and marketplaces

| April 17, 2014 | 14 Comments

You become what you measure. From my experience working with clients across enterprises and startups, the most common reason for failure and inefficiency is the focus on convenient, but inappropriate, metrics. Your technology doesn’t determine the business you build. Neither does your organizational capability. The metric you optimize for is the single biggest factor that determines which business you end up building.



The importance of choosing the right metric is more far-reaching than we often believe. A metric is a bit like a commander’s intent in an army. At battle, there are a lot of variabilities and unexpected contingencies which cannot be pre-planned for. The Commander’s Intent is a simple rule of thumb that helps soldiers take local, individual decisions towards a cohesive, larger goal.

Metrics work in much the same manner. Once you set a metric, the entire team organizes its efforts around it, and works relentlessly to optimize the business for that metric. It’s often fancy to have a large dashboard with multiple graphs tracking hundreds of things. But to be truly effective, an organization/team/individual should be solely focused on optimizing for one metric.

As a result, identifying and designing the right metric is critical for business success. More often than not, I’ve seen the following general observation to hold true:

If you’re asking someone to optimize for more than one metric, you’re setting them up for failure. 

Often, ratios help capture multiple movements in one metric. Whether you think of the financial ratios that traditional business managers track or the DAU/MAU that app developers relentlessly track today, ratios tend to be important as they explain concentration rather than quantity.



This discussion of metrics is especially important in the world of platforms and networked businesses. Platform businesses are a lot more complicated than traditional pipe businesses. Pipes optimize unidirectional flow of value. Hence, metaphorically, releasing bottlenecks at any point should help with the flow. The Core Metrics for pipes, naturally, then, measure smoothness of flow and/or removal of bottlenecks. Inventory turnover is one such metric to check how often the flow of goods/services moves through the pipe. All forms of Output/Input ratios for intermediary teams on the Pipe are, again, checks to understand rate of flow and identify creation of bottlenecks.



But this tends to be much more complex in the case of platforms where flows are multi-directional. Moreover, they are interdependent because of network effects. E.g. optimizing activity on the producer side may have unexpected implications on the consumer side. On a dating network, allowing over-access to men may be unattractive for women. Hence, even if you have two different teams optimizing for two different metrics on the producer and consumer side, the activities of one team may adversely impact the pursuits of the other team.

How then does one go about deciding on platform metrics?



This takes us back to a theme I repeatedly talk about. If I had to condense the essence of Platform Thinking in one line, here’s what it would be:

We are in the business of enabling interactions.

 This is much like the Commander’s Intent I mentioned earlier and has important implications. Irrespective of how big your firm is, how complex the operations are, the goal should always be to optimize the core interaction.

1. Identify the Core Interaction that your platform enables

2. Remove all bottlenecks in the Core Interaction to ensure that it gets completed across Creation, Curation and Consumption

3. Ensure that the Core Interaction is repeatable and repeats often

From a metrics perspective, this essentially means that the Core Metric that rules everything should measure interactions.

If you’re running a platform business, you need to start measuring and optimizing your core interaction. 



So we get the fact that we need to measure interactions. However, we still need a measure, a number that shows the Core Interaction is working well. As with all metric design, it is still possible to choose the wrong metric despite understanding the importance of measuring the Core Interaction.

To design the right metric, let’s revisit what the Core Interaction on a platform actually entails.

From earlier essays in this series, we note the following:

1. A platform enables exchange of information, goods/services, money, attention etc. between the producer and consumer. For a visual guide to how this works, check the article here.

2. The exchange of information always occurs on the platform. The other exchanges may or may not occur on it.The exchange of information enables every other exchange to take place. To understand the mechanics of this, refer this article.

3. The exchange of information is the key source of value creation across all platforms and can be visualized as the Core Interaction of the platform. To understand the structure of the Core Interaction in detail, check the article here.

4. The Core Interaction has three parts: Creation, Curation and Consumption of the Core Value Unit

Let’s now look at the different types of platforms and tease out relevant key metrics.



Some platforms capture the transaction between producers and consumers. These platforms typically track actual transactions. Platforms like the Amazon marketplace may measure gross value of transactions. Those like Fiverr (which have fixed value per transaction) may simply measure number of transactions. Airbnb tracks number of nights booked. This is a better indicator of value creation than simply tracking number of transactions. At the same time, it doesn’t care about value of transactions (spare mattress being booked vs. castle) as the goal is simply more value created irrespective of type of customer.



Some platforms can track the exchange of goods and services in addition to capturing the exchange of money. ODesk, for example, can track number of hours of work delivered by the freelancer (producer), a key measure of value creation. can track duration of the consulting call between an expert and the information seeker.



Some platforms are unable to capture the transaction, the exchange of money. They create value by allowing producers access to consumers. In these cases, one of the common metrics tracked is the platform’s ability to generate leads. OpenTable specifically tracks reservations. These are not the actual transactions at the dinner table, but serve as a proxy for the value created. Some platforms may track overall/relevant market access. Dating and matrimonial sites often talk about number of women registered as that determines the value that a user can expect to get.



One of the key properties of platforms is the fact that external producers can add value. Whether it is new apps on an app store, new videos on YouTube or new pictures on Flickr. In these cases, one is tempted to solely track these co-created Value Units. However, Creation forms only one-third of the Core Interaction. The proof of the pudding, in such cases, lies in repeat Consumption. Some platforms may track the total consumption, some may track the percentage of Value Units that cross a minimum threshold of Consumption. I tend to favor the latter as measuring and increasing the percentage of units that get minimum consumption ensures that the platform focuses on getting more producers who create relevant units that will be consumed. It also ensures that, over time, the feedback loops (in the forms of notifications to producers) will encourage creation of the kinds of units that get greater consumption.



Some platforms may create value largely by signaling quality. Reddit is one such example where Curation is more important than Creation or Consumption. Such platforms may track reputation of users and create feedback loops that encourage users to participate often, gain karma and use that to participate further in the curation process.



Platforms where the Core Value Units are content e.g. YouTube, Medium, Quora etc., the engagement of Consumer Attention serves as a key metric. Measuring number of videos or articles uploaded or number of videos viewed or articles read is often not enough. These give indications of Creation and Consumption but not of Curation. We need some indicator of quality as well. This is why many such platforms track the percentage of content which gets a minimum engagement. Medium tracks views and reads separately indicating that it requires a minimum commitment from the Consumer to determine quality of the content.



While working with companies on this, I’ve often noted the following:

1. Creation is the most common metric tracked. Number of apps, number of videos, number of sellers etc. This is misleading.

2. In the case of Market Attention category platforms, Consumption is the most common metric tracked. This is an improvement but still not a measure of quality.

3. Curation is rarely tracked and is often the most important metric that determines the health of the platform.

4. The measure of transactions that should be tracked varies with type of platform. In some cases, number of transactions may suffice, in other cases, volume of transactions may matter.

5. The metric that best explains interactions will change over the life cycle of the platform and it’s critical to identify points at which these transitions occur. Companies often make the mistake of sticking on with an older metric when their business has scaled. Identifying and vetting the Core Metric at every point is very important.



While measuring the platform’s ability to create interactions is important, it is equally important to measure its failure to close interactions. I will explore this further in a subsequent post.



The discussion on metrics is deep and cannot be done justice in one post. I’ll cover this more as we move further in the series. The key point, though, remains:

On a platform, the Core Metric that rules them all must measure and optimize the Core Interaction.



For platforms, the Core Metric to be tracked must measure and optimize the Core Interaction. Tweet

The goal of a platform is to repeat and optimize the Core Interaction that creates value. Tweet

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  • Jeff Nailen

    “I see the distinction not as growth vs. monetization but as value creation vs. value capture.”

    I love the way you put that because it places emphasis on creating value and earning a share of the new wealth as a result of what you create…we earn it only after first creating something of value to others. The benefits we create for others should be the primary purpose as Steve Jobs was so fond of pointing out, the magnet that draws people to the platform in the first place.

    Value creation (and subsequent value capture) is the Apple way whereas opportunistic monetization is the Microsoft approach to business – their primary motivation is making money which is why they make lousy products.

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  • Kevin Carroll


    Metrics are critical and such an important topic because we are conditioned to “pipe” thinking, hence much confusion I think by readers. I had to read your post several times for example.

    Please let me suggest that you come back to this topic for further clarity. Specifically, that you define or make a distinction between: tracking something that is useless (numbers), tracking something that is useful (metrics), and optimizing a metric (i.e. the one metric that matters the most at a given point in time). Probably wouldn’t hurt to comment further on ratios either.

    Thanks for all your efforts!

  • Sangeet Paul Choudary

    Great comment, Absolutely! I intend to get to that as well. I see the distinction not as growth vs. monetization but as value creation vs. value capture.

    The reason I note the value creation part separately and give it more focus is because monetization or value capture is always the focus and comes at the cost of value creation. While that could have worked for a lot of businesses, it can break a platform down where monetization, very often, is at odds with network effects.

    For anyone building a platform, I would still highlight the value creation metric a lot more. Money is the easier thing to track but tracking a non-money value creation metric is often difficult.

    You’ve got a great point here, though, and I’ll definitely riff off it in a subsequent post. :)

  • Krzysztof Kaczmarek

    In my opinion there’s another group of metrics – metrics related to the monetization model. Interactions, production and consumption of the content are crucial for the growth of a platform (creation of the value), but sometimes they are not directly related to the source of revenue.

    For example, a general classifieds website (for verticals it might be different) to grow has to measure the number of new listings, quality of the content (curation) and interactions between buyers and sellers. However in the end of the day it earns money from premium listings and display advertising, so it has to measure the number of premium listings and pageviews (and the derivatives).

    Hence I’d identify two general groups of metrics: important for growth of the platform and important for the monetization. Usually they are correlated, but they don’t have to be exactly the same.

  • Sangeet Paul Choudary


    Thanks for your comment. A company may have multiple goals but it’s usually difficult for someone who is executing to execute against more than one metric. Hence, there will always be one overall goal which will translate into multiple goals.

    E.g. When I say that the core metric should increase the repatabliity of interactions, that automatically means that you can increase repeatability by either growing users or encouraging users to interact more often. One is growth, other is engagement and yet both go back to contributing to the same core metric. The CEO will always look at one core metric that covers everything. The teams underneath will be responsibile for different facets. Those increasing user growth should ensure they don’t do it at the cost of repeat interactions by exiting users (engagement) and if they do, the net interactions should always increase. Hence, you need to have one metric at the top and everything else will measure up to contribute towards that.

    You will never see the same guy optimizing both growth and engagement in a large organization. They will roll up to one decision maker but the people working against metrics will always have only one metric to optimize for.

  • KS

    To build on that, I do agree though that the “core metric” that an organization should focus on should change as the business evolves.

  • KS

    Hey Sangeet,
    I disagree that more than one metric sets the team up for failure. There can be upto 3 that all matter, for different reasons:
    i) A metric that measures growth (sales challenge)
    ii) A metric that measures engagement (product challenge)
    iii) A metric that measures how much support (product) & customer support satisfaction ( support challenge)

    i) & ii) especially, go hand in hand — can’t be successful without both.

  • Jeff Nailen

    Awesome, I’ll stay tuned…

  • Sangeet Paul Choudary


    That is exactly how I see this. I will get down to the next level of producer-side, consumer-side and platform manager metrics which all feed back ot the main metric. More to come!

  • Sangeet Paul Choudary

    Thanks Giles! THat is so helpful to illustrate what I was talking about in the post. Thanks for sharing from your experience.

  • Jeff Nailen


    Great post as always. It seems to me that quantitative metrics are an important external feedback loop for adaptive growth supplementing internal intuition.

    What do you think of a nested holarchy of metrics whereby you have one primary overarching metric, as you suggest, and a selective handful of important secondary metrics that perhaps lead or feed or contribute to or complement the primary metric as leading indicators for the primary metric?

    “Not everything that can be counted counts, and not everything that counts can be counted.” – Albert Einstein

  • GillesPoupardin

    What a great post.

    We at Whyd – cross-platform music sharing and discovery – used to measure Creation (# added tracks) and more recently Consumption (# played tracks). Our core Value Unit is the track/playlist and I realise that we should focus way more on the number of “like” “re-add” on the tracks added by the Creators. This is key in driving more engagement.

    Thanks Sangeet,
    Great food for thought