How to Win at Net Dollar Retention

coffee shop, retaining customers

I was reading Sammy Abdullah of Blossom Street Ventures‘ Medium post not too long ago about the value of auto-price increases in a context I’ve never really thought about. Quoting one of his portfolio companies’ founders:

“We started including auto-price increases in our renewals at the start of this year and it’s been surprisingly effective. Our starting point is 10% and we get it more often than not; some customers negotiate us down to the 3–5% range.

“The automatic price increases are a beautiful thing because they give us leverage:

  1. we can trade an automatic price increase for an earlier renewal, longer contract period, or upselling to more features; and
  2. when we do waive price increases, the customer walks away satisfied. They feel like they’re winning.”

It’s a great way to win on net retention. But as I’ve written about before, the net retention equation is comprised of the upgrades, downgrades, and churn variables.

NDR = (starting MRR + upgrades – downgrades – churn)/(starting MRR)

So to maximize retention, you can:

  1. Level up your customers into higher tiers
    • Or convert more users into customers, if you’re running a freemium model
  2. Reduce the number of customers downgrading to lower tiers
  3. Reduce churn – customers leaving your platform
  4. Some permutation of the above variables

Leveling up upgrades

Shivani Berry, founder of Ascend’s Leadership Program, once wrote: “Buy-in is the result of showing your team why your idea achieves their goals.” In a similar sense, buy-in is the result of showing your customers why your product achieves their goals. The best thing is that their goals will change over time. As so, your product must contain increasingly more value to your customers as they level up in their lifecycle. As they grow, you have product offerings that grow with their needs.

Take, for example, one of my favorite startups these days, Pulley, a cap table management tool for startups. Don’t worry, this isn’t a sponsored blogpost. Although it’d be nice if it was. I have no chips in the bag; I just like them. They have three tiers of pricing. The lowest for startups with 25 stakeholders. The middle for startups with 40. And the highest is for larger businesses.

Why 25? The average seed-stage startup has about 25 stakeholders. Subsequently, top of mind for them is what SAFEs and convertible notes look like on their cap table and how to structure early equity pools.

As a startup levels up to 40 stakeholders, they’re probably jumping into their first priced round. As such, they’ll need a 409A valuation to appraise their fair market value, as well as finally putting together their first official board.

Every time founders raise another round of funding, the more complicated their cap table becomes. The more they need Pulley’s software. And it so happens, the less price sensitive they become. For Pulley, that means they can charge more as their customers have greater purchasing power.

You also always want an enterprise pricing tier, where pricing is custom. Don’t be afraid to charge more. As I mentioned in a previous essay, when Intercom was only charging IBM $49, an IBM exec once told the Intercom team, “You know, I go on a coffee run for the team that costs a lot more than your product. That’s why we’re wary of investing too much more in you. We just don’t see how you’re going to survive.” If it helps as a reference point, the median ACV (annual contract value) for public SaaS companies is $27,000.

Do note that the more you charge, the longer the sales cycle will be. For ACVs over $20K, expect 4-6 months of a sales cycle. For contracts over $100K, expect 6-9 months. Of course, the contrapositive would be that the lower the price point, the easier and faster it takes to make a decision.

Reducing downgrades and churn

I’ve been in love with Clayton Christensen’s “jobs-to-be-done” (JTBD) framework ever since I learned of it a few years ago. At the end of the day, you’re delivering value. Value in the form of doing a job. As Christensen says, “when we buy a product, we essentially ‘hire’ it to help us do a job. If it does the job well, the next time we’re confronted with the same job, we tend to hire that product again. And if it does a crummy job, we ‘fire’ it and look for an alternative.”

The better it can do the job your customer needs to get done, the more you can optimize for the variables in the net retention equation. Sunita Mohanty, Product Lead at Facebook, shared an amazing JTBD framework they use back at Facebook and Instagram:

When I… (context)
But… (barrier)
Help me… (goal)
So I… (outcome)

Here’s another way to look at it:

  1. What features should we have that would make our product great?
  2. What features should this product have that would make it a no-brainer purchase for our customers?

The “no-brainer” part especially matters. And to be a “no-brainer”, you have to deliver the best-in-class. Your features have to solve a fundamental job that your customer is trying to solve. The difference between a “great product” and a “no-brainer” is the difference between a 5 out of 5-star rating and a 6-star out of a 5-star rating. Effectively, the outcome in Facebook’s JTBD framework exceeds the goal, which makes the barrier irrelevant. As David Rubin, CMO of The New York Times and former Head of Global Brand at Pinterest once said: “Your service shouldn’t lead with ‘saving money’. You must create an offering that is so compelling, it stands by itself in the consumer’s mind.”

In closing

At the end of the day, in the words of Alex Rampell, building a startup is “a race where the startup is trying to get distribution before the incumbent gets innovation.”

You’re in a race against time. You’re trying to reach critical mass and growth before your incumbents realize your space is a money-making machine. And growth comes in two parts: acquisition and retention. While many founders seemed to have over-indexed on acquisition over the last couple of years, the pandemic has reawakened many that retention is often times much more difficult to attain than acquisition. While it may not be true for every type of business, hopefully, the above is another tool in your toolkit.

Photo by Joshua Rodriguez on Unsplash


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How to Find Product-Market Fit From Your Pricing Strategy

bread, value-based pricing, saas, revenue model, startup pricing strategy

As part of my work, I talk to many seed-stage SaaS founders. At the seed, most of these founders are thinking about how to get to product-market fit. The one in zero to one. They’re launching their product with a select few companies to really nail their pain points. And often times, pricing and the business model take a backseat when they offer their customers the product for free or at an extreme discount. While investors don’t expect founders to nail pricing at the seed, it’s useful to start thinking about your revenue model early on. After all, pricing is both an art and a science. And with the right pricing structure, it can also be your proxy for assessing product-market fit. Here’s how.

As a quick roadmap:

  1. How to use the pricing thermometer to understand value-based pricing
  2. The difference between buyers and customers
  3. What is your value metric? And why does it matter?
  4. How pricing influences positioning
  5. How to approach building a tiered plan, with a mini case study on Pulley
  6. Net dollar retention, what product-market fit looks like in dollars
  7. The SaaS version of engagement metrics

The pricing thermometer

Every product manager out there knows that customers don’t always know what they want, so asking them for a solution rarely nets valuable feedback. Rather, start with the problem. What are their frustrations? What sucks? What’s the last product they bought to attempt to alleviate their problem? Subsequently, what’d they like about that product? What didn’t they like?

There are two perspectives you can use to approach pricing: cost-plus and value-based. Cost-plus pricing is pricing based on selling the product at a given markup from its unit cost. The biggest mistake founders often make here is underestimating how much it costs to produce a product.

On the other hand, there’s value-based pricing. An approach where you determine the economic value of the service you are providing and give it to your customers for a bargain. Superhuman, for instance, prices the fastest email experience at $30/month. Or in a different light, a dollar a day. If you are saving more than a dollar of economic value a day by responding to emails faster than ever, then the product is worth it. The biggest pitfall here is that founders often don’t fully understand the value they’re bringing to their customers, which is a result of:

  1. They don’t understand your value,
  2. Or you can’t convince them of the value you think you offer.

To visualize both of these approaches better, let’s use the pricing thermometer, as YC calls it.

value based pricing

The greater the gap between two nodes (i.e. value and price, or price and cost), the greater the incentive. If you’re selling at a price far greater than its unit cost, you are far more motivated to sell your product. On the flip side, if your product is priced far below the value and benefits you provide, a customer is more motivated to purchase your product.

Buyers vs Customers

To take it a step further, if you’re planning to scale your startup, what you’re looking for our customers, not buyers. Buyers are people who purchase your product once, and never again. They learned from their mistake. Your product either didn’t deliver the value you promised or the value they thought you would deliver. Customers are repeat purchasers. Why? Because they love your product. It addresses your customers’ needs (and ideally more) again and again. Your customers’ satisfaction is evergreen, rather than ephemeral.

When you only have buyers, you have to push your product to others. It’s the epitome of a door-to-door salesperson. Think Yellow Pages.

When you have customers, you feel the pull. Customers are drawn to you. They come back willingly on their own two feet. As Calvin French-Owen, co-founder of Segment, once said: “The biggest difference between our ideas pre-PMF vs. when we found it was this feeling of pull. Before we had any sort of fit, it always felt like we had to push our ideas on other people. We had to nag people to use the product.”

value-based pricing

Value-based pricing is playing to win. Cost-plus pricing is playing to not lose. While the latter is convenient strategy when you’re a local business not looking to scale (i.e. coffee shop, local diner, local auto parts store, etc.), it’s incredibly difficult to scale with, especially as customer needs evolve. As you scale, your customers might include anyone from Microsoft who wants you to bring a sales engineer to integrate your product to a 5-person startup team who’s just testing your product out. With cost-plus pricing, you’ll be forced to determine price points on a case-by-case scenario. With value-based pricing, you can systemize dynamic pricing based on evolving customer needs. As their value received goes up, the price does too.

As the name suggests, to generate pull, we have to start from value. In this case, your value metric.

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