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The SaaS Freemium Model: Great for Acquisition, Not for Revenue

The debate continues to rage on as SaaS and subscription companies alike struggle to figure out how to best leverage a freemium acquisition model. On this episode of the ProfitWell Report, Hiten Shah, Co-Founder of Quick Sprout and Product Habits, comes to us looking for the latest and greatest on freemium.

Ohhh freemium. We've been on both sides of this debate, so to answer Hiten's question, we'll dig into the data from nearly 6,000 companies across both B2B and B2C, as well as roughly 300,000 willingness to pay data points. Let's jump in.

Freemium is an acquisition model

Freemium is an acquisition model, not a revenue model, so this is a measured strategy to unlock lower CAC and the top of your funnel.

CAC is increasing across the board with B2B and B2C CAC up nearly 50% compared to a few years ago as marketing density continues to increase.

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That being said, CAC amongst freemium companies is only 25-30% higher than 5 years ago.

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CAC is out of control

Customer acquisition costs (CAC) are rising. Fast. They are up almost 70% over the past five years:

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Why? Because we are hitting the limits of traditional growth channels. Companies are now using almost fourteen marketing channels simultaneously:

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Growth density has become too great. Each of these channels becomes saturated, meaning that everyone has to move on to the next. But as the graph above shows, channel growth is leveling off. There aren't that many new channels to move into.

In addition, the ones we have aren't performing at the same standard they once did. Looking at Ebooks, effectiveness has been halved in the past five years:

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Put together, this data means that SaaS companies now have to start looking elsewhere for acquisition. Freemium is one of these potential avenues that can allow companies to increase acquisition. This is the fundamental point about freemium that people are missing. As Patrick puts it:

"Freemium is an acquisition model, not a revenue model."

Even Patrick admits this was his initial error. When he lambasted freemium in the early days, he was thinking about it from a revenue model angle. When he started thinking about freemium's acquisition potential, he put right his mistake.

Freemium works by lowering blended CAC, much like premium Ebooks once did:

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Freemium CAC is growing, but not at the same rate as with non-free products. This is because freemium allows you to do two things.

Lower activation energy

As Patrick puts it, “freemium is the catalyst in your reaction.” By allowing customers to sample your product in a way that helps them see value before paying for it (something that free trials struggle with), you lower the hump they need to get across in terms of paying for the product when that time arrives.

Own the lead

When that time does arrive, the lead is already in your product. When they are in the position to make a buying decision, you don't need to put the same amount of effort into proving value and it is extra effort for them to defect to a competitor.

There are tens of thousands of SaaS products available and you compete with every single one. The closer a lead is to your product, the easier they are to acquire and the more likely they are to choose you. This is why freemium has the potential to be the best acquisition channel you have.

Content effectiveness is trending down

Diminishing returns of traditional free offers like free ebooks or white papers give us a look into this phenomenon. Note that the life of an ebook has dropped from being effective for roughly 6 months to now only being effective for less than a quarter. This is happening even though the quality of content as we saw in a previous study continues to increase.

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Essentially, free products are becoming "premium ebooks" where the goal is to lower the activation energy required to start a relationship with a lead and push them to a purchase, as well as give you an opportunity to nurture that lead into perpetuity.

Free is positively affecting key business metrics

Free has actually become more effective than non-free alternatives. Retention is 15% better on an absolute basis for those companies utilizing the freemium strategy:

NPS is roughly 50% better for those companies utilizing freemium:

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And the previous objection of a free plan eroding value is actually softening with the willingness to pay for an initial tier growing from a floor of roughly $150 five years ago to close to $1,000 today.

Freemium is a scalpel, not a sledgehammer

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So should you jump on the free bandwagon? Probably. Although, while the data suggests some serious benefits, you should keep in mind that freemium is a scalpel, not a sledgehammer. We've seen the most effective freemium plans come when a company has been around for a few years and figured out their unit economics before opening the top of the funnel with free.

The story of ProfitWell

ProfitWell is a free product from a company that tells you pricing is what is missing in SaaS. The irony is not lost on Patrick. But, again, it all comes down to the data. When Price Intelligently wanted to launch ProfitWell, they did what they advise every other company to do—ask their target customers what they want and what they would be willing to pay. When they got the data back, it just didn't look good:

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This is more recent data, but it shows they still made the right decision. What this data showed them was two things:

  • Even the upper-end of the market was low. Multi-million dollar companies wouldn't pay more than $3,000 a year for a SaaS metrics solution.
  • Because the upper-end was so low, there wasn't room for expansion. They would be making less than $600 from a low-end customer and only $3,000 if this person became incredibly successful.

There just wasn't a paying market. When they used another strategy they espouse—quantified buyer personas—that add other metrics into the mix, the picture was even worse:

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When taking CAC into consideration, they would break even for their low-end personas and lose money at the higher end. As a pricing strategy company, they knew this wasn't a great pricing strategy.

So they devised a strategy that put the core product out there for free and monetized additional features. This allowed them to:

Lower CAC while creating constant value.

As there is no friction to using ProfitWell as a free product, CAC was dramatically reduced for all personas. But as the product was valuable without add-ons or upgrades, it meant customers could incorporate it into their workflow.

Create a path to the customer's wallet.

They owned the leads. ProfitWell became a central component in that workflow, used by the whole team. Everyone got to see the value.

Created a requirement that showed increased value.

With the data available, they were able to produce two add-ons—retain and recognized—that extended the value of ProfitWell and that had high willingness to pay.

Patrick's final data slide shows why this approach can work:

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One of Price Intelligently's main concerns about freemium in the early days was that it erodes the value of your product. Again, the data says differently; so, now, do Price Intelligently. Willingness to pay for that first tier is increasing. Freemium enhances the value that customers see.

Freemium uses the product itself for marketing. It is the ultimate engineering as marketing. Your customers use the free product, see value, and want to pay more for more. By utilizing a free tier, you could effectively create willingness to pay in your customers.

The next year

Each year, Patrick chooses one thing to research. This year it is freemium. The data has shown him so far that free doesn't mean bad and free isn't going to ruin your brand. Free can actually improve your standing in your customers' eyes.

Perhaps most importantly for the CEO of a pricing strategy company, free doesn't mean no monetization. Freemium is for acquisition, not revenue. But by opening up your product for free, you can improve monetization. You can get customers through the door for little, let them experience your product, and then tell you where it needs to go next. And that “next,” you can charge for.

Related reading

Should you overhaul your pricing structure? Splitting your value metrics from the feature set
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How to price your AI product: Insights from a pricing expert
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The Missing Ingredient: How Quality Data Powers Pricing Success
Jordan Lieberman