Fundraising

A founder’s guide to calculating CAC and LTV the right way

Comment

Blue calculator and a graph made from colored arrows
Image Credits: Maryna Terletska (opens in a new window) / Getty Images

Blair Silverberg

Contributor

Blair Silverberg is co-founder and CEO of Hum Capital, a financial services company using technology to accelerate the fundraising process.

More posts from Blair Silverberg

As a former venture capitalist, I always tell founders that the most powerful tool they can employ while fundraising is a data-driven pitch.

Leading with data is even more valuable during periods of uncertainty and market volatility. With investors looking to de-risk their investment decisions, coming to the table with hard evidence portraying your company’s growth potential is the key to success for companies fundraising.

Volumes of valuable, real-time financial data are now at our fingertips because of cloud software, but without proper guidance — or data fluency — founders and investors alike are missing out on the opportunity to leverage these assets. I’m a firm believer that greater data fluency not only unlocks potential for individual companies, but also an entire generation of founders from traditionally underrepresented backgrounds.

Zooming in a bit further, there’s one metric that companies must get right in order to demonstrate their potential for growth and attract investors: their LTV/CAC ratio.

What is LTV/CAC and why does it matter?

Lifetime value (LTV) and customer acquisition cost (CAC) are two of the most common metrics used by investors and companies alike to provide a cost-benefit analysis and ultimately predict a company’s value.

When companies acquire customers, the right way to view that customer is not just as a one-time purchaser but as a long-term cash-flowing asset. LTV helps both investors and companies calculate the long-term potential value of its customers, especially when they are expected to continue paying for goods and services over a sustained period of time.

To acquire these customers, companies have to spend capital (using equity, debt or their free cash flow) on tactics like paid ad campaigns, sales personnel and more. The total expenses that contribute to acquiring a certain cohort of customers is considered the CAC for that cohort.

Investors use LTV/CAC to measure whether a company’s short-term investments into sales and marketing are creating or destroying value for the business and determine if additional capital will help the business scale efficiently. Measuring the ratio between LTV and CAC allows investors to predict if giving a company more money to spend on CAC will yield a positive or negative ROI.

A low LTV/CAC ratio is a red flag, as it shows the company is not efficiently acquiring high-value customers and will ultimately require more investment to grow. On the flip side, a strong LTV-CAC ratio indicates that injecting new capital can help accelerate growth exponentially.

Where do companies go wrong?

Many common mistakes boil down to using the wrong metrics to tell your story. I often see founders calculating LTV/CAC on a revenue basis, when in reality, calculating LTV/CAC on a gross margin basis is imperative for growth financing.

For example, an e-commerce company that purchases an ad impression may subsequently generate revenue from the customers that sign up, but the cost of web hosting, shipping, inventory, etc. still needs to be factored in to understand the net revenue.

For companies with high margins, there may not be a major difference between revenue and gross profit, but for companies with thin margins, the fulfillment costs to service their customers can be the differentiator between a capital-efficient business and one that’s eroding value.

Leaning solely on revenue does not paint the most accurate picture for investors and can be a red flag.

Another common sticking point is actually much more tactical and involves going back to the basics of calculating LTV/CAC. While it’s easy to overlook, plugging in the right numbers — and accessing data from the right sources — is essential for accurately portraying a company’s growth, and, more importantly, using data to establish trust with investors.

So how do you actually calculate LTV/CAC?

The traditional factors that qualify as customer acquisition costs are any type of paid acquisition. This includes pay-per-clicks, referral channels, revenue sharing to referral partners and more. As such, the more a company spends on sales and marketing, the more likely they are to generate revenue through those channels.

This calculation tends to become more complicated for early founders when you include factors like the salaries and commissions of sales and marketing employees, and other market costs.

Building a strong brand is something that can be amortized as the ratio of revenue-to-brand spend rises over time. Since market costs like brand awareness rise with revenue, it’s important to include that in CAC to give the most accurate representation of the business’ growth.

If other factors are included in CAC, it may appear that operating costs are rising out of sync with the company. Ideally, as a business expands, the operating costs will become static, and there will be revenue to offset those costs, which is why it’s essential to use the correct numbers when calculating CAC.

Data from payment processors like Stripe or PayPal can be an excellent source for calculating LTV, but it’s important to evaluate this data amid groups of customers on a cohort basis. Simply looking at monthly gross margin on a profit and loss statement can be misleading, because different business models present different realities on the true lifetime value and ROI of a customer.

Take a furniture business as an example: When a customer purchases a bed, the company will benefit from that payback almost immediately. However, since most consumers only purchase a bed once about every eight to 10 years, there won’t be continuous payback on the CAC. Alternatively, a software subscription customer may pay back that CAC gradually over several months, but the customer’s ongoing subscription will have a higher return over time.

Sample LTV to CAC, January 2019 to December 2020
Sample LTV to CAC, January 2019 to December 2020. Image Credits: Hum Capital

With this approach, there’s a tension that gives way to two fundamental perspectives on LTV/CAC. First, the macro view, which, as described above, includes factoring in all sales and marketing costs and makes up a more conservative approach. The micro view is to focus on costs per lead, and demonstrating how efficiently a company can scale individual transactions to fuel its growth.

While founders with an eye on high valuations may hesitate to follow a conservative approach, doing so can be pivotal for building trust with investors who will ultimately want to understand the company holistically. Because investors will want to see both the macro and micro views, the most successful companies will be able to use their data with these two approaches for calculating LTV/CAC.

chart 2
Image Credits: Hum Capital

In any fundraising pitch, investors are looking to answer one question: Can this company scale and grow efficiently in the long term? LTV/CAC gives investors a perspective on that — when the ratio is greater than one, the answer is yes. But on the flip side, a ratio that barely surpasses one is an indicator of a potentially bumpy road ahead.

Moreover, understanding how quickly a customer cohort will provide a ROI to the company, and how long they will continue to pay that back is critical for both investors and companies.

While these factors vary for every business, LTV/CAC data should be evaluated relative to an appropriate peer set, and never in isolation. For founders, seeing their company through the eyes of an investor can be a major step toward leveling the playing field.

While increasing transparency at the systemic level may seem daunting, data-driven storytelling is the greatest asset a founder has to increase their chances of securing capital. Yet, this can only be accomplished with a fundamental understanding of using company data to paint an accurate and compelling picture of your business’ potential.

More TechCrunch

Welcome back to TechCrunch’s Week in Review. This week had two major events from OpenAI and Google. OpenAI’s spring update event saw the reveal of its new model, GPT-4o, which…

OpenAI and Google lay out their competing AI visions

Expedia says Rathi Murthy and Sreenivas Rachamadugu, respectively its CTO and senior vice president of core services product & engineering, are no longer employed at the travel booking company. In…

Expedia says two execs dismissed after ‘violation of company policy’

When Jeffrey Wang posted to X asking if anyone wanted to go in on an order of fancy-but-affordable office nap pods, he didn’t expect the post to go viral.

With AI startups booming, nap pods and Silicon Valley hustle culture are back

OpenAI’s Superalignment team, responsible for developing ways to govern and steer “superintelligent” AI systems, was promised 20% of the company’s compute resources, according to a person from that team. But…

OpenAI created a team to control ‘superintelligent’ AI — then let it wither, source says

A new crop of early-stage startups — along with some recent VC investments — illustrates a niche emerging in the autonomous vehicle technology sector. Unlike the companies bringing robotaxis to…

VCs and the military are fueling self-driving startups that don’t need roads

When the founders of Sagetap, Sahil Khanna and Kevin Hughes, started working at early-stage enterprise software startups, they were surprised to find that the companies they worked at were trying…

Deal Dive: Sagetap looks to bring enterprise software sales into the 21st century

Keeping up with an industry as fast-moving as AI is a tall order. So until an AI can do it for you, here’s a handy roundup of recent stories in the world…

This Week in AI: OpenAI moves away from safety

After Apple loosened its App Store guidelines to permit game emulators, the retro game emulator Delta — an app 10 years in the making — hit the top of the…

Adobe comes after indie game emulator Delta for copying its logo

Meta is once again taking on its competitors by developing a feature that borrows concepts from others — in this case, BeReal and Snapchat. The company is developing a feature…

Meta’s latest experiment borrows from BeReal’s and Snapchat’s core ideas

Welcome to Startups Weekly! We’ve been drowning in AI news this week, with Google’s I/O setting the pace. And Elon Musk rages against the machine.

Startups Weekly: It’s the dawning of the age of AI — plus,  Musk is raging against the machine

IndieBio’s Bay Area incubator is about to debut its 15th cohort of biotech startups. We took special note of a few, which were making some major, bordering on ludicrous, claims…

IndieBio’s SF incubator lineup is making some wild biotech promises

YouTube TV has announced that its multiview feature for watching four streams at once is now available on Android phones and tablets. The Android launch comes two months after YouTube…

YouTube TV’s ‘multiview’ feature is now available on Android phones and tablets

Featured Article

Two Santa Cruz students uncover security bug that could let millions do their laundry for free

CSC ServiceWorks provides laundry machines to thousands of residential homes and universities, but the company ignored requests to fix a security bug.

1 day ago
Two Santa Cruz students uncover security bug that could let millions do their laundry for free

TechCrunch Disrupt 2024 is just around the corner, and the buzz is palpable. But what if we told you there’s a chance for you to not just attend, but also…

Harness the TechCrunch Effect: Host a Side Event at Disrupt 2024

Decks are all about telling a compelling story and Goodcarbon does a good job on that front. But there’s important information missing too.

Pitch Deck Teardown: Goodcarbon’s $5.5M seed deck

Slack is making it difficult for its customers if they want the company to stop using its data for model training.

Slack under attack over sneaky AI training policy

A Texas-based company that provides health insurance and benefit plans disclosed a data breach affecting almost 2.5 million people, some of whom had their Social Security number stolen. WebTPA said…

Healthcare company WebTPA discloses breach affecting 2.5 million people

Featured Article

Microsoft dodges UK antitrust scrutiny over its Mistral AI stake

Microsoft won’t be facing antitrust scrutiny in the U.K. over its recent investment into French AI startup Mistral AI.

1 day ago
Microsoft dodges UK antitrust scrutiny over its Mistral AI stake

Ember has partnered with HSBC in the U.K. so that the bank’s business customers can access Ember’s services from their online accounts.

Embedded finance is still trendy as accounting automation startup Ember partners with HSBC UK

Kudos uses AI to figure out consumer spending habits so it can then provide more personalized financial advice, like maximizing rewards and utilizing credit effectively.

Kudos lands $10M for an AI smart wallet that picks the best credit card for purchases

The EU’s warning comes after Microsoft failed to respond to a legally binding request for information that focused on its generative AI tools.

EU warns Microsoft it could be fined billions over missing GenAI risk info

The prospects for troubled banking-as-a-service startup Synapse have gone from bad to worse this week after a United States Trustee filed an emergency motion on Wednesday.  The trustee is asking…

A US Trustee wants troubled fintech Synapse to be liquidated via Chapter 7 bankruptcy, cites ‘gross mismanagement’

U.K.-based Seraphim Space is spinning up its 13th accelerator program, with nine participating companies working on a range of tech from propulsion to in-space manufacturing and space situational awareness. The…

Seraphim’s latest space accelerator welcomes nine companies

OpenAI has reached a deal with Reddit to use the social news site’s data for training AI models. In a blog post on OpenAI’s press relations site, the company said…

OpenAI inks deal to train AI on Reddit data

X users will now be able to discover posts from new Communities that are trending directly from an Explore tab within the section.

X pushes more users to Communities

For Mark Zuckerberg’s 40th birthday, his wife got him a photoshoot. Zuckerberg gives the camera a sly smile as he sits amid a carefully crafted re-creation of his childhood bedroom.…

Mark Zuckerberg’s makeover: Midlife crisis or carefully crafted rebrand?

Strava announced a slew of features, including AI to weed out leaderboard cheats, a new ‘family’ subscription plan, dark mode and more.

Strava taps AI to weed out leaderboard cheats, unveils ‘family’ plan, dark mode and more

We all fall down sometimes. Astronauts are no exception. You need to be in peak physical condition for space travel, but bulky space suits and lower gravity levels can be…

Astronauts fall over. Robotic limbs can help them back up.

Microsoft will launch its custom Cobalt 100 chips to customers as a public preview at its Build conference next week, TechCrunch has learned. In an analyst briefing ahead of Build,…

Microsoft’s custom Cobalt chips will come to Azure next week

What a wild week for transportation news! It was a smorgasbord of news that seemed to touch every sector and theme in transportation.

Tesla keeps cutting jobs and the feds probe Waymo