Startups

You need to add some friction to your growth funnel

Comment

Close-up of an axe against a sharpening wheel throwing off sparks
Image Credits: Misha Kaminsky (opens in a new window) / Getty Images

Jonathan Martinez

Contributor

Jonathan Martinez is a former YouTuber, UC Berkeley alum and growth marketing nerd who’s helped scale Uber, Postmates, Chime and various startups.

More posts from Jonathan Martinez

A bit of friction in your growth funnel is a good thing. In fact, I will go even further and declare that some amount of friction in this area is great!

One of the biggest misconceptions when it comes to user experience is that we must eliminate as many questions and barriers as possible to be the gold standard. That is a false conclusion. In fact, without even realizing it, most of today’s hottest startups have added friction to their onboarding flows to improve their users’ end experiences.

Most startups seek to avoid friction and look to pump their “vanity metrics,” especially signups. It is only later that firms learn that to retain users, the user experience must be personalized to induce their signups to keep jumping back in.

This is no different with B2B products, service-based industries or any other type of startup. Some friction is great and I’m here to show you the types of friction to consider, how to straddle the fine line between frictionless onboarding and excessively time-consuming onboarding, and the propensity metrics you will need to track.

Types of friction

There isn’t a manual that will show you where to add friction to your onboarding flow and growth funnel. Instead, this process involves exhaustive testing to perfect. To start, there are a few major types of friction to consider implementing:

  • Question-based
  • Setup-based
  • Waitlist-based

Below are some examples of how both startups and mature companies leverage friction to improve their users’ experience and north star metric.

Question-based friction

Canva, a graphic design platform that’s experienced explosive growth over the last few years, asks questions about why a user is signing up. Are they a student? A corporation?

This data allows Canva to preload the right templates that a student would find useful (presentations, study templates, etc.) versus what a corporation would need (posters, social media, etc.). What at first appears to be a simple onboarding question likely took multiple rounds of growth tests to perfect.

Outside of the onboarding experience, added friction in the form of questions can help startups with growth pillars such as lifecycle and retargeting. Keeping with the same example, now that Canva understands that user X is a student, they can retarget that user with ads centered around improving their grades and performance in school with Canva. Similarly, Canva can send out emails tailored specifically to this user who intends to use the product in their role as a student.

Question-based friction is especially vital for B2B startups who are seeking to narrow in on their ideal customers early on. Are they businesses of five employees in the marketing vertical or perhaps a business of 100 employees in the logistics vertical? These types of findings are expedited and can be tracked in the form of revenue per contract and lifetime value for each business vertical that signs.

Without these questions that add slight friction, it becomes increasingly challenging to double down on segments that can accelerate business growth.

Setup-based friction

LinkedIn has done a phenomenal job with setup-based friction, where they have users add a variety of details about themselves to create their profile. This creates a feeling of satisfaction and users will then desire to add their colleagues to show it off.

The video game industry perfected this type of friction when they required gamers to create their own avatars, customize vehicles or weapons, and ultimately personalize their unique experience before jumping into the actual gameplay. One example is the game Mario Kart, where players can customize their vehicle’s frame, tires and glider before ever starting a race. Games like this are a perfect example of how engaging players improves their experience.

Waitlist-based friction

If you’ve ever been frustrated about not being able to use a new product because of a long waitlist, there’s a very specific method to this madness. One of the pioneers to the waitlist-based friction strategy is Mailbox, which was an email app from 2013 that launched with a waitlist that had hundreds of thousands on day one. Mailbox eventually sold for $100 million to Dropbox very soon after its launch, and they credit most of their success to the waitlist.

By leveraging a waitlist, Mailbox was able to artificially create scarcity and consumer interest due to the gamifying ability to move up the waitlist by tweeting.

This is probably the most underutilized of the strategies as it requires generating either significant amounts of excitement, for a product before its launch or for an existing product launching a new feature. The stock-trading app Robinhood has leveraged waitlists for new products, such as their Robinhood Card, and employs gamifying tactics similar to those Mailbox used for moving up the waitlist queue.

If you plan to use this style of friction, it’s imperative that you have a product eye-catching enough and with incredible value props to incentivize users to join your waitlist before even trying.

Balancing friction

You’ve bought into adding friction to your growth funnel, but how do you know when you’ve added the right amount? Obtaining this answer isn’t simple and will involve exhaustive testing to uncover. What comes next will be a delicate balancing act between top-of-funnel conversion loss and your north star metric’s conversion gain.

Let’s take a fitness accessory startup that helps customers monitor their sleep. We’ll assume that one of their north star metrics is lifetime value (LTV) of their customers. Essentially, LTV is how long their users stay subscribed to a premium plan. Say the company’s monthly subscription is $10/month and the average user stays subscribed for seven months, their LTV would be $70.

Onboarding friction/LTV tests with blue being the winner. Image courtesy of Jonathan Martinez.
Onboarding friction/LTV tests with blue being the winner. Image Credits: Jonathan Martinez

If this startup set out to run five experiments with differing types of added friction to their onboarding flow, it shows how LTV is at its highest when adding a moderate level of friction. Below is a full example of these results:

Example analysis of the friction:LTV tests
Example analysis of the friction/TV tests. Image Credits: Jonathan Martinez

Each experiment starts with 100 users and the “Conversion” column depicts the conversion rate of users that become paid subscribers. In experiment two, a heavy amount of friction is added which results in a low conversion rate and revenue per user of only $10.

However, with experiment five, there’s a moderate amount of friction added, resulting in 30% of users becoming paid subscribers. These 30% of paid subscribers also stick around the longest and produce $60 of revenue per user resulting in $1,800 total LTV of the 100 users for this cohort.

What’s most important to understand from these experiments is how many users are being lost with the added friction versus the amount of revenue gained by users that are sticking around with a better experience.

How to 10x friction testing

As with any style of growth experimentation, it often takes seemingly endless iterations to continue moving the needle. Finding the right amount of friction can seem like a daunting task, but there are various tools to help supplement efforts. One such tool, UserTesting, provides startups with live videos that show how would-be users interact with both their onboarding experience and product. This helps fill a qualitative gap in a world dominated by tools centered around measuring purely numbers.

Another two data-centric business intelligence tools that can speed up test analyses are Amplitude and Mixpanel.

Whichever tools you end up adding to your growth marketing arsenal, always remember that they are only as useful as you make them. It’s important to set these tools up correctly with the appropriate data feeds, filters and inputs to ultimately gain the correct insights from them. I’ve written an entire column on how to properly build a growth marketing tech stack which delves much deeper into the issue of how all these tools come together.

Finding the right amount of friction for your startup is a delicate dance, but it’s worth it. Your users will thank you for a better experience while you reap the rewards of faster startup growth.

More TechCrunch

Apple is bringing new accessibility features to iPads and iPhones, designed to cater to a diverse range of user needs.

Apple announces new accessibility features for iPhone and iPad users

TechCrunch Disrupt, our flagship startup event held annually in San Francisco, is back on October 28-30 — and you can expect a bustling crowd of thousands of startup enthusiasts. Exciting…

Startup Blueprint: TC Disrupt 2024 Builders Stage agenda sneak peek!

Mike Krieger, one of the co-founders of Instagram and, more recently, the co-founder of personalized news app Artifact (which TechCrunch corporate parent Yahoo recently acquired), is joining Anthropic as the…

Anthropic hires Instagram co-founder as head of product

Seven orgs so far have signed on to standardize the way data is collected and shared.

Venture orgs form alliance to standardize data collection

As cloud adoption continues to surge toward the $1 trillion mark in annual spend, we’re seeing a wave of enterprise startups gaining traction with customers and investors for tools to…

Alkira connects with $100M for a solution that connects your clouds

Charging has long been the Achilles’ heel of electric vehicles. One startup thinks it has a better way for apartment dwelling EV drivers to charge overnight.

Orange Charger thinks a $750 outlet will solve EV charging for apartment dwellers

So did investors laugh them out of the room when they explained how they wanted to replace Quickbooks? Kind of.

Embedded accounting startup Layer secures $2.3M toward goal of replacing Quickbooks

While an increasing number of companies are investing in AI, many are struggling to get AI-powered projects into production — much less delivering meaningful ROI. The challenges are many. But…

Weka raises $140M as the AI boom bolsters data platforms

PayHOA, a previously bootstrapped Kentucky-based startup that offers software for self-managed homeowner associations (HOAs), is an example of how real-world problems can translate into opportunity. It just raised a $27.5…

Meet PayHOA, a profitable and once-bootstrapped SaaS startup that just landed a $27.5M Series A

Restaurant365, which offers a restaurant management suite, has raised a hot $175M from ICONIQ Growth, KKR and L Catterton.

Restaurant365 orders in $175M at $1B+ valuation to supersize its food service software stack 

Venture firm Shilling has launched a €50M fund to support growth-stage startups in its own portfolio and to invest in startups everywhere else. 

Portuguese VC firm Shilling launches €50M opportunity fund to back growth-stage startups

Chang She, previously the VP of engineering at Tubi and a Cloudera veteran, has years of experience building data tooling and infrastructure. But when She began working in the AI…

LanceDB, which counts Midjourney as a customer, is building databases for multimodal AI

Trawa simplifies energy purchasing and management for SMEs by leveraging an AI-powered platform and downstream data from customers. 

Berlin-based trawa raises €10M to use AI to make buying renewable energy easier for SMEs

Lydia is splitting itself into two apps — Lydia for P2P payments and Sumeria for those looking for a mobile-first bank account.

Lydia, the French payments app with 8 million users, launches mobile banking app Sumeria

Cargo ships docking at a commercial port incur costs called “disbursements” and “port call expenses.” This might be port dues, towage, and pilotage fees. It’s a complex patchwork and all…

Shipping logistics startup Harbor Lab raises $16M Series A led by Atomico

AWS has confirmed its European “sovereign cloud” will go live by the end of 2025, enabling greater data residency for the region.

AWS confirms will launch European ‘sovereign cloud’ in Germany by 2025, plans €7.8B investment over 15 years

Go Digit, an Indian insurance startup, has raised $141 million from investors including Goldman Sachs, ADIA, and Morgan Stanley as part of its IPO.

Indian insurance startup Go Digit raises $141M from anchor investors ahead of IPO

Peakbridge intends to invest in between 16 and 20 companies, investing around $10 million in each company. It has made eight investments so far.

Food VC Peakbridge has new $187M fund to transform future of food, like lab-made cocoa

For over six decades, the nonprofit has been active in the financial services sector.

Accion’s new $152.5M fund will back financial institutions serving small businesses globally

Meta’s newest social network, Threads, is starting its own fact-checking program after piggybacking on Instagram and Facebook’s network for a few months.

Threads finally starts its own fact-checking program

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

OpenAI co-founder and chief scientist Ilya Sutskever has left the company. Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature