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Your Customers Expect You to Make them Wildly Successful

12 Apr

In 2015, I worked on a project with Gainsight and Bessemer Venture Partners, called “The 10 laws of Customer Success”. These 10 laws, written by a group of Customer Success practitioners, have now become the core of the new book Customer Success: How Innovative Companies are Reducing Churn and Growing Recurring Revenue, by Nick Mehta, Dan Steinman, and Lincoln Murphy.

The law I authored, entitled “Your Customers Expect You to Make Them Wildly Successful” has become even more of a reality since I wrote it. The more I engage with sophisticated, successful, enterprise customers, the more their expectation (rightfully so) is that we not only provide them with a product, but that we provide them with the expertise, guidance, and, yes, tough love, that it takes in order to ensure success. In the subscription economy, we’re all stakeholders in our customers’ success.

I’ve re-published the law I authored below:

Customers don’t buy your solution to use its features and functions. They buy your solution (and buy into the relationship with you) because they want to achieve a business objective. Just as sales organizations are using a “Challenger” sales approach, Customer Success organizations need to provide new insights and challenges. As Ben Horowitz said in his 2015 commencement address at Columbia University: “There’s no value in telling someone what they already know.”

The value your customer places in your relationship isn’t defined only by your product’s features and functions; it’s also defined by everything else your company does to help make your customers better at what they do. That includes enablement, content marketing, online resources, and in the case of relationships with larger enterprises, direct engagement by subject-matter experts. In some cases, delivering a message that goes against conventional (and popular) wisdom can be difficult, but in the end, delivering a challenging message that is in your customer’s best interest will strengthen your relationship

Delivering wild success requires you to understand three fundamental things:

  • How is your customer measuring success? In other words, what is the customer’s unit of measure (time saved, incremental revenue, reduced cost, specific financial impact of increased quality), and what results does the customer need to declare victory?
  • Is the customer achieving that value (or at least on a realistic path to achieving it)?
  • What’s the customer’s experience with you along the way?

Wild success doesn’t happen by chance. It happens because both you and your customer have a real stake in mutual success, you both share and understand those objectives, you measure and monitor progress against those objectives, you ask hard questions, and you continuously strive to raise the bar when setting new objectives.

The truth is that it takes more than a great product to make your customers successful. In the enterprise, you’ve won the deal because your sales team has done an outstanding job of selling the benefits of your company, painting a vision, and setting expectations that there will be significant payback with your solution. In a recent customer meeting, a forward-thinking CIO expressed to me his concern with many software vendors: “None of them challenge us. They come in, install the software, and then move on. I’d like to understand what we’re currently doing that we should be doing differently. We’re not just paying for a product—we want expertise as well.” In a sense, he was telling us: “You sold us on vision and expertise. That’s our expectation. Now deliver.”

Unless you can start by delivering some value quickly, while executives are still excited, you risk losing momentum and falling into a pit in a success curve that resembles the “Trough of Disillusionment” in Gartner’s Hype Cycle.

OldValue2With early proof points, your customers’ perception of success will be on a much flatter curve:

NewTTVIn addition to ensuring that you’re tracking to ultimate success for your customer, set your customers up for a quick win. Define an initial milestone and track that time to first value (shown in the chart above as “Phase 1 Value”). It may be as simple as delivering an initial proof of concept with basic functionality, but it will quickly provide evidence to your customer (both your immediate sponsor as well as executives or board members) that the decision to go with your technology was a good one. It’s also important to prove value quickly, since any expansion plans you may have with the customer will be predicated on your success. Early wins keep that momentum going. An early win will also be extremely helpful if you encounter any challenges (technical, business, environmental, or political) in future phases. It will allow your sponsor to point to the value already achieved as a way to flatten obstacles and rally support.

Installing software on-premises, provisioning a user account for a SaaS solution, or even providing basic training on the functionality of your product are simply table stakes. Those activities get you in the game, but they aren’t what make you win. If your company innovates—and which successful ones don’t?—it’s important that you outwardly communicate the benefits of that innovation and, critically, how your customers should use your capabilities to be more effective at what they do. Great companies need to provide this expertise and guidance in a way that scales. It isn’t just about having highly skilled professional services consultants who come in on a feefor-services basis (although that’s very important when serving the enterprise, as well as some subset of highly technical solutions). You’ll also need great content (knowledge base, best practices, how-tos) and an efficient means for delivering it.

The main reason why your customer bought your product in the first place isn’t because your features are cool. It’s because your customer has a job to do and expects your solution (and your company) to help them do it better. For example, if your company provides a digital marketing solution, you need to provide the tools, technology, training, and supporting content to make your customers better digital marketers, not just a tool that allows them to send emails. More importantly, you need to continuously provide the customer with examples of how they can use your solution to be more effective, how other customers are using it to be more effective and, if you have the aggregate data, how some of the customer’s key metrics (usage or otherwise) compare to similar companies or industry averages. Without a benchmark of comparison or a target to achieve, the customer’s current performance data has limited value.

To Help Your Customers Become Wildly Successful, You Must First Understand What Success Means to Them

To manage your customers through the journey of wild success, you always need to know three things about them:

  • How are they measuring success? Specifically, what is the key metric, or “unit of currency,” that they’re using to measure success, and how many units will the customer need to add/save/remove/reduce to claim that they’ve gotten value from your solution? You should also know how the customers as a team (irrespective of your solution) are being measured for performance.
  • According to that metric (or metrics), are they achieving success? Or, if it’s a work in progress, is the customer on track to succeed within to the expected time frame?
  • What is their experience along the way? While the first two questions are pretty clear-cut and quantitative, this one is less so; however, it is incredibly important. It will drive the tone of your relationship and interactions with your customers. Even if your customers achieve their objectives using your technology, if their experience is painful and requires more effort than they believe is necessary, then you’ve significantly increased their cost (both tangible and intangible) of achieving success.

ROI Isn’t a Concept; It’s an Equation

Another area that receives intense focus during the sales cycle but may fall through the cracks after implementation is the quantification of ROI. If you’re a provider of Customer Success solutions, your customers might have the following objectives:

  • Reduce churn
  • Find upsell opportunities
  • Improve the ability to scale their team

While it is difficult to attribute the degree to which your solution is helping the customer achieve each of the three preceding objectives, the first thing to do, if possible, is quantify the expected results. For example, reduce churn by how much? Identify how many new upsell opportunities, and of what size? How much total value? How much productivity gain do you expect to see in your team? How do you measure productivity? Is there a way that you can tie use of the product (or particular features of the product) to team scalability? Can you identify a few key metrics associating health scores for a certain percentage of customers in a certain tier as a point of first value? After you understand the expectations, set them as a clear target.

Get on a Cadence and Track Your Progress

Use regular business reviews (with your higher-touch customers) as a way to track progress toward the objectives and targets you’ve jointly defined. If your customers understand that you have a vested stake in their success and you share a common objective with them, they’ll be willing to engage with you on a regular basis to collaborate on how they can get there. Regular strategic business reviews (SBRs), quarterly or otherwise, focusing on these objectives give you and your customers a reason to engage on a regular basis. These objectives also help frame the conversation for a business review. I’ve seen too many quarterly business reviews (QBRs) poorly attended because they weren’t working toward clearly stated and understood success criteria. Product road map updates and a review of open support cases will carry a QBR only so far. In fact, a QBR that covers only those topics is extremely defensive. There’s no way for you or your customer to win if all you’re talking about are features that don’t yet exist and features that aren’t working properly.

A business review must be part of a broader context of a journey to well-understood success. If you have a clear understanding of the customer’s success criteria, then at the end of each SBR, you should be setting measurable objectives for the next one. I met with a customer recently who has an objective to migrate billions of rows of data to a new repository within the next two months using our product. While our CSM is going to have a number of conversations in the interim to ensure that the customer achieves that goal, the larger team is certainly going to review progress against that quantifiable objective in the next QBR.

Success Isn’t a Destination; It’s a Journey

While your customers may have set out initial success criteria, part of the value you bring as a partner is helping customers define what they should think about next. You know and understand the value your product can potentially bring to your customers. You also know how other customers are using your product successfully. This is a perfect opportunity for you to give your customers guidance about what they should be thinking about next. If they just used your Customer Success automation product to increase their retention rates from 85% to 88%, you now have an opportunity to show them how best-in-class companies are achieving 90%+ renewal rates—and how your partnership can help them get there. For lower-touch customers, you can achieve this objective through content marketing and communication of online best practices. For higher-touch customers, this can (and should) be an opportunity for executive alignment. It’s an opportunity to influence each other’s strategy, as well as an opportunity to strengthen the relationship. A good tool to use to help drive customer direction beyond first value is an effectiveness model that you can use to set objectives and timelines to help your customers better achieve their business objectives via your partnership.

In Theory, There’s No Difference between Theory and Reality—But in Reality, There Is

All this sounds great in theory. However, unless you have perfect alignment and agreement on everything throughout your customer relationship (starting with the sales process), you’re going to have cases in which customers won’t come to the table, won’t provide you with key data, will be challenging and confrontational, and may have a different understanding and set of expectations than you do—possibly thanks to an overly optimistic sales effort. You may run into challenges with your product. Your support or services organization may not always deliver impeccable service. All I can say is: Welcome to Customer Success. These are all challenges that you have to deal with, and you must have difficult conversations as soon as possible when issues arise. Issues won’t go away by themselves. Customers, however, will.

Approached properly, these conversations are, at minimum, incredible learning experiences. The best perspective for your company to take is to look at itself through the lens of your customer. No matter how hard you try to imagine how your customers feel about something or what they think, you won’t know until they tell you. Candid customer conversations are a valuable source of information—sometimes epiphanies—for your company.

Challenging times are also a great opportunity to cement a relationship. I have heard it said that the strongest steel is forged by the fires of hell. If you’ve worked through a difficult situation collaboratively with a customer and shown your true colors as a partner; or if you’ve accepted responsibility, identified short-term milestones— then met those milestones—regained trust, and made your customer successful, then you’ll understand and empathize with this statement. If customers aren’t following through on their side of a commitment, then you’ll need to escalate, strategize with your sales team or other business functions, and figure out how to have the necessary difficult conversation with the right person or people. Customer Success is everyone’s responsibility. Use all the resources available to you. Your customer is expecting you to.

It’s true that customers expect you to make them wildly successful. It’s also true that they’re highly motivated to be wildly successful with you. In fact, they’re at least as big a stakeholder in your mutual success as you are. Your customers are demanding because they want to be successful. Challenging your customers isn’t always an easy task. It requires a relationship, mutual respect, and a sense that you both are working toward the same objective. A customer told me recently at a dinner meeting: “The challenge you posed to us was difficult for us to process and accept. We initially took offense that you, in essence, were telling us that we were wrong, and that caused some tension. Ultimately, however, because we felt that you were in the same boat with us, we accepted it. As a result, it has strengthened our relationship.”

Customer feedback about your opportunities for improvement isn’t always as obvious as an escalation or challenge. In most cases, you need to be paying attention to the more subtle clues that there may be risk to your customers’ success. Many times, those clues are in what they don’t say rather than what they do say. Risk might be indicated by a change in schedule or priorities. In any of these cases, it’s critical to get to the root cause of the issue and understand what course corrections you need to make to drive Customer Success.

Remember, your customers aren’t buying a technology. They’re buying a solution to a problem, a path to a better way. It’s your responsibility to understand the customer’s goals and objectives and steer the customer along that path (in both high-touch and low-touch ways). Once you’re able to understand how customers are measuring success, confirm that they’re achieving it, and confirm that they’re having a positive experience along the way, you’ll have the most valuable thing possible: an advocate. And in a world where social media and the network are accelerants that help both negative and positive opinions spread like wildfire, advocacy is priceless.

In combination, the Challenger Sale methodology and the rise of content marketing have created an environment in which customers expect that they have purchased more than just a product to use. They’ve entered a relationship with a company that is going to make them more effective at achieving their business objectives. As a result, the CSM (as well as the entire customer-facing team) need to grab the baton and take on the role of challenger throughout the customer life cycle. Wild success doesn’t happen by chance. It happens because someone asks hard questions, objectives are measured and monitored, and once those objectives are achieved, someone raises the bar and repeats. Welcome to (wild) Customer Success.

The Customer Engagement Model

27 Jan

Proactive customer engagement. It’s a tenet of Customer Success. We all do it to some extent – some of us better than others. The question is “How do you best go about structuring that proactive engagement so that you can scale a team and provide a consistently great customer experience?” The answer is “With a good Customer Engagement Model.”

A good Customer Engagement Model needs to be flexible in two key ways:

  • It needs to accommodate different phases of the customer lifecycle; and
  • It needs to support both scheduled and unscheduled interactions with customers

In a prior article on Time to Value, I pointed out that it’s critical to keep momentum going once the initial sales deal is closed and ensure that you aren’t diverging from your customer’s original path to reaching their objectives. Your Customer Engagement Model should, therefore, start at the time of sale in order to maintain momentum and achieve a first “quick win”.

Good Customer Engagement Models should also help keep you focused on answering the three key questions you need to know about every customer:

  1. How is our customer measuring value?
  2. Are they achieving that value?
  3. Are we providing an experience that will result in loyalty and advocacy?

Irrespective of whether your company provides high personal touch Customer Success or whether your Customer Success model is more self-service, your proactive engagement with customers should be governed by an Engagement Model. A good Engagement Model helps you understand: A) what the engagement “moments” are for customers throughout their lifecycle; B) who in your organization is responsible for interaction with customers at those moments; and C) what the objective or expected outcome is for each of those moments.

I’ve illustrated what that model looks like conceptually in the image below:


The Phases:

The first key point of an engagement model is that it needs to work across two very different phases of the customer lifecycle, the Onboarding Phase and the Ongoing Usage Phase.  The first phase, onboarding, is the much higher intensity, much more critical, and much more interactive of the two. I think of these two phases very much like the takeoff phase and the cruise phase of airplane flight. In the takeoff phase you’re in close proximity to the ground, there’s quite a bit at stake, it’s the phase where more incidents happen, and it generally requires a high degree of pilot focus. During the cruise phase of flight, it’s important that pilots monitor their instruments, ensure they’re on course, and pay attention to external factors. They can’t ignore that they’re flying an airplane during the cruise phase; however the workload, intensity, and immediate consequences are lower than during the take off phase. Pilot’s don’t need to give the airplane nearly as much of their attention during cruise as they do when they’re screaming down the runway, getting it airborne, dealing with heavy air traffic, and monitoring for even the slightest anomaly – which could have dire consequences if left unchecked. During cruise, a pilot can leave the cockpit to use the restroom. During takeoff, on the other hand… not so much.

The Onboarding Phase:

The Onboarding Phase serves two purposes:

  1. It ensures that your customers are getting off on the right foot and are set up for success with your solution; and
  2. It creates a logical opportunity for both you and your customer to think about, articulate, and agree on how you’re going to measure value in the ongoing phase.

In a “high-touch” customer engagement scenario, much of the onboarding phase may be done by a CSM or someone from the customer onboarding or training team. The customer needs to become familiar with your solution during this phase, and you need to ensure that they’re able to be self-sufficient when using it.

A “low-touch” customer engagement scenario will have the same objective, but will achieve it more with automated marketing/email campaigns, automated measurement and exception handling of early adoption indicators, and automated training for the customer.

In both the high and low touch models, it’s critical to measure early indicators of user adoption and determine what course corrections need to be applied. The method for measuring the indicators and for communicating to customers needs to be much more automated in the case of a low touch engagement model.

In addition to ensuring adoption and self-sufficiency, the onboarding phase in a high touch B2B/Enterprise Solution world provides an opportunity for you to validate key assumptions with your customer on how they are going to measure value and how they’re going to quantify the success of their implementation of your solution. If your sales process is value based, you have probably already begun identifying use cases, measurements, and customer ROI expectations. You may very well have also quantified the expected ROI from adoption of your solution. The bad news is that too many companies don’t do any further measurement once the deal is closed.  A good onboarding process not only ensures that a customer is adopting your product but positions you as a partner to help ensure they’re making progress against their stated objective.

Example Engagement Moments during the Onboarding Phase (some of which are included in the sample model above) include:

  • A kickoff meeting to ensure that the customer meets your team (either virtually or face to face, as appropriate)
  • Confirmation that the customer has dowloaded / activated / or logged in
  • Initial Product Training
  • A formal review of the first set of metrics delivered by your solution. These should provide an indication of the customers adoption, usage, and effectiveness (how well they are doing x, not just that they are doing x).
  • A checkpoint with the customer to ensure that they understand how the product works and that they feel self-sufficient

In the spirit of Time to Value, it’s vital during the onboarding phase that the process moves as quickly and efficiently as possible and that customer momentum is maintained in the process. I’d strongly recommend two things to manage momentum:

  1. Once you have defined your Engagement Moments, measure the time that it takes each customer to progress from one to the other. Analyze your metrics and determine whether there are any systemic delays in any of your phases of onboarding and work quickly to get to root cause.  I’ve had teams shave weeks off of implementation/onboarding by measuring individual phases, identifying root cause for the delays, and then fixing the process.
  2. Set escalation triggers if you don’t see adoption events occurring with your customers according to expected timeframes during the onboarding phase.  If your customers haven’t created x accounts in y weeks for example, that should trigger proactive engagement on your part – in addition to the predefined moments in your plan.

The Ongoing Phase

The focus of the Ongoing phase is to ensure that your customer is achieving the objectives identified in the Onboarding phase and that you’re keeping a pulse on their experience.

Engagement Moments in this phase can be categorized into one of two types: 1) Time-based; or 2) Event-based.

Time-based Moments

Time-based moments are ones that you can put on a calendar, such as a Quarterly Business Review, Monthly Metrics Review, Annual Account Review, or even Weekly Meetings for your highest of high-touch customers. Time-based moments are great ways to keep your customers interacting with you for the duration of the lifecycle – as long as you clearly set expectations and provide valuable feedback to them during those engagement points. If you aren’t continuously providing value to your customers during these moments, they’ll lose interest and stop attending regular calls/meetings, so be careful not to over-schedule them, and be sure to provide relevant engaging content in each of these engagements.  Dan Steinman from Gainsight recently wrote an informative blog post characterizing a good Quarterly/Executive business review.

Event-based moments are ones that are triggered by the occurrence of an event (or non-event in some cases), such as a customer logging a high-severity case with your Support Desk; a new product release from your company; a change in leadership or executive sponsorship at your customer; a poor or mediocre survey response; an absence of support cases over a defined period of time; a decrease in overall usage; or a decrease in key usage metrics from a given customer. The purpose of event-based triggers is to help you react quickly and appropriately to events that can influence the health of the customer relationship –  for better or for worse. In either case, the sooner your team reacts to the event that triggered the engagement, the better off you’ll be.

Customer Engagement Models are unique to companies, products, and customer types. An Engagement Model for an enterprise customer with a highly complex solution will look very different than one for a consumer with an off-the-shelf SaaS offering and both will engage different parts of the organization. Logically breaking down that model into two key phases (Onboarding and Ongoing) and defining the Ongoing phase in a way that supports both Time and Event-based moments of engagement with customers should help you optimize for your products and customer types. You will likely end up with more than one engagement model for different customer segments.

Have you employed a Customer Engagement Model and what methods or tools have you used to ensure that the model is consistently applied across your customer base?

B2B Customer Segments: Where Do You Draw the Line?

17 Oct

Whether you’re facing explosive growth or trying to manage your Cost of Services as you build out your customer facing organization, you know that you are going to be faced with real-world resource constraints as you fund and build a Customer Success function.  And after all, you’re a responsible leader and this is 2013, so you know better than to just throw people at a problem.  So how do you efficiently manage growth in a Customer Success organization while effectively empowering your customers?

In my last post, A Practical View of Your Customers, I introduced an approach for understanding and mapping your customers by revenue using a Pareto chart. While I focused that article on how to look at your customer segments based on revenue, I’d like to focus this article on where to draw the line for each segment and why. If you haven’t read the previous post yet, I’d suggest doing so now. If you’re familiar with Pareto principles, my prior post certainly isn’t rocket science. You may still want to read it, though, as I’ll be re-using a chart I introduced there to illustrate my points.

Customer Segmentation and Engagement Models

Customer Segmentation and Engagement Models

The First, High-Touch Segment

Unless your company is a rare blue unicorn and you have a completely homogeneous customer base, you’re going to have some distribution of current and potential revenue across that customer base. Creating a Pareto Chart will show you which of your customers make up the largest revenue contribution. While my hypothetical (but not uncommon) example in my previous post showed a top tier segment where 10% of the customers accounted for 45% of the revenue, your results may differ – possibly significantly. It is almost certain, however, that a minority of your customers will account for a majority of your revenue and very likely that a small tier will account for a significant percentage (greater than 30%).  If this is the case, you have a great opportunity to create a premium service offering via Customer Success that will focus on retaining and growing those customers.

This tier of customers is incredibly valuable.  You can afford to (and need to) provide them with some attention, and ensure that you have great two-way communication in place in order to both guide them as well as learn from them. If you’re in the early stages of building your Customer Success team, I’d suggest this first cut at determining how to build out this team:

  • Think about the key activities that are required to ensure your top tier customers are getting value from your product
  • Understand how much of a person’s time it will take to provide those activities
  • Multiply that time by the number of customers you have in your top tier, and then staff accordingly, understanding that your CSMs will likely be able to spend less than 100% of their time on the activities  you just defined

Note that this is a bit of an iterative process, and you’ll be doing a few “reality checks” as you understand how much time is needed for your customers – and as a consequence, how many people will be needed to deliver the experience you want your customers to have.  There truly is a combination of art and science to this process, and if you can’t afford to hire enough resources to adequately service the group you’ve identified as your top tier, then you have three options:

  1. You can redefine and reduce the size of that tier then only expand it once you can adequately staff to support a larger number of top-tier customers;
  2. You can redefine (reduce) the level of service you provide to your top-tier customers; or
  3. You can introduce automation (customer success automation, marketing automation) to assist the CSM in managing the customer relationship

How much service and effort you provide to each customer is going to be specific to your offering.  Once you’ve done your calculations, you’ll likely want to perform a reality check based on the Book of Business each CSM is projected to be responsible for. I’ve seen organizations where each CSM has a Book of Business of as little as $1M of annual recurring revenue and others where that number is closer to $10M… or more. Metrics and “standards” are still all over the map on this topic and are really dependent upon your industry and the level of service you need to provide to your customers.  Early stage, highly-technical solutions will require more CSM effort than later stage “commodity” solutions. Whatever stage or solution you’re at, though, be sure that you’re creating a role that is going to be sufficiently engaged to help your customers achieve value.

A Second, Hybrid Segment (Optional, but likely)

Depending on your customer distribution, you may want to define a second segment of customers who still represent significant revenue, but are probably closer to a 1:1 ratio of percentage of customers to percentage of revenue. In the hypothetical example I provide, the second customer segment represents 20% of the customers and 30% of the revenue. Again, your mileage may vary; however if you have a second tier of customers that makes up a sizeable percentage of your revenue, then you can (and probably should) identify a less intensive, but still personal, level of relationship with them (perhaps less frequent interaction than tier one and perhaps assisted even further by marketing automation). By doing this, you now have created personal relationships with two segments of customers that likely cover a majority of your revenue, but only a relatively small minority of your customers.  My example in the last post shows 30% of customers representing 75% of revenue. While my example data is hypothetical,  I’ve seen a number of companies within +/- 10% of these ratios, especially in the B2B space.

So how many CSMs should you assign to this space?

A good reality check for the number of CSMs to assign to this group is to use your Book of Business per CSM as the great equalizer. You may have CSMs in group 1 covering 10-15 customers and $3M in ARR. In Group 2, with smaller customers , a CSM might need to manage 50-75 customers to cover $3M in ARR.  Automation will play a key role here to help identify customers in need, customers at risk, and to trigger targeted communications to customers at the right time.

The Third, Highly Automated Segment

While you’ve likely covered a majority of your revenue base in the first two segments, you still have a long tail (actually a very long tail in cases like freemium) of customers who are using your services but – at least for the time being – provide you with very little revenue. This customer segment is certainly important, both from a numbers, lead generation, and future revenue perspective; however you can’t afford to provide them with the same level of service you provide to customers who are paying orders of magnitude more than they are per month, so what does automation for this segment look like?

Whether this long tail represents 300 or 300,000 customers, you’re going to benefit greatly  from an automation solution (or solutions) that help you:

  • Identify customer usage patterns
  • Identify at-risk customers
  • Send appropriate communications to those customers based on behavior, triggers, or their lifecycle
  • Keep your entire customer base engaged by helping you connect with them in a relevant way

While the long tail doesn’t represent a majority of your revenue, both this segment and your second segment are going to contain customers who represent incredible upsell opportunities – if you do some analysis that will help identify them. If you spend the extra effort up front, you can also leverage marketing automation to target relevant messages to those customers based on their behavior, activity, and other usage metrics.

If your strategy is to land and expand, you’ll need to look everywhere for the expansion opportunities, not just in the top tier. And if you’re using analytics, segmentation and automation appropriately, you can drive meaningful action with the right customers, whether they’re in your “top” tier or in your long tail.

Time To Value: A Key Metric

25 Aug

As the old saying goes: “You only have one chance to make a first impression”. If you want to increase the likelihood of success for the deployment and adoption of software, you need to make that first impression while your customer is still excited about their purchase decision. It holds true for enterprise software, B2C software, and everything in between, even though complexity and timeframes differ for each of those categories. In the world of SaaS, the post-sale journey to adoption and value can make or break a company.

So how do you effectively manage your deployments so that you’re: A) maintaining that momentum; and B) providing a quality customer experience that is helping them get a return on their investment in your solution? A great metric to use is Time To Value (TTV). Every solution is going to have it’s own onboarding process which can be as simple as an in-app wizard or as complex as a data integration and product configuration/customization project done by a Professional Services team. In either case, a reasonable target TTV should be measured in days or weeks (rather than months), depending on the complexity of the product and the onboarding process. Even for complex enterprise solutions, you should create a phased deployment where you can measure initial value in 4-6 weeks. Loss of momentum in an implementation can create an incredible amount of pain for enterprise software deployments. Too often, the perceived/expected value in an enterprise software deployment looks like the Gartner Hype Cycle where customers fall into the equivalent of the trough of disillusionment (and frustration) prior to seeing any value from their solution. There was a surprising amount of tolerance for this in the world of perpetual licenses. In the SaaS world, however, …not so much:


It should really be a much smoother and consistent curve of increased value demonstration (with aligned customer expectations) over time.


So how do you minimize time to value (TTV) for your customers, manage their expectations through the deployment cycle, and avoid the equivalent of the “trough of disillusionment”?

Step 1: Identify the unit of measure for value and set a quantifiable objective

Unless you define a “currency” by which you will measure value, you won’t know whether you’re delivering it. In some cases, adoption/usage may be used as a proxy, but to the extent that you can use a metric that your customer will use to measure the financial impact of your solution, start with that unit of measure. Examples for different types of solutions include:

  • increased overall revenue
  • larger basket size (for e-commerce transactions)
  • higher customer lifetime value
  • higher conversion rates
  • quicker time to transaction
  • lower cost per transaction

Even for a single given solution, different customers may measure value in different ways, so it’s important to connect with them to understand their specific objectives that will justify the time, effort, and funding they’re allocating to your solution.  You’re getting their resources because you can solve a problem for them.  Figure out how they’re justifying their investment in your solution and use the same currency to measure value.

Step 2: Identify the phases for delivering that value

Even if your solution can provide an order of magnitude return on investment, don’t try to get there all at once.  Provide quick wins for your customers by phasing your deployment.  Don’t try to deploy to the entire enterprise (or market) at once.  Pick a department or small, logical group, where you can prove adoption and value, then continue to move forward with the additional momentum you’ve created from the internal user base you just identified. Your objective should be to get a customer advocate/thought leader to stand up in under 60 days and say “look at the value we’ve gotten from this solution.  We need to roll this out to a broader group.”  If your strategy is to land and expand, understand that you haven’t really landed until you’ve proven value.

Providing quick wins not only keeps the momentum going, but it also provides a healthy deployment model where you’re interacting with your customer on a frequent basis and continuously validating that you’re proceeding according to plan.  Without frequent checkpoints, customer expectations and deployment realities can diverge quickly.  The most common reason I’ve seen behind runaway or at-risk projects has been this disconnect between expectations and reality due to inadequate interaction and communication.  The longer the time period between conceptual agreement and validation, the higher the likelihood that the end result will not be what the customer expected. Improving Time To Value will increase your chances of success.

Step 3: Execute and Manage(!) according to that plan.

This one might seem obvious, but execution is key.  If deliverables aren’t met, understand why… and quickly.  Break your implementation process into stages and understand which of the stages are creating friction/delays. In many cases, if you’re suffering from slow deployments, it’s primarily because of one or two key aspects of your implementation process, not all of them.  Even in cases where the entire process needs work, by breaking it down into stages and seeing which of the stages are causing the biggest problems, you can quickly understand how to prioritize your activities around improving the deployment process. Customer Success requires constant iteration, listening, and learning from your customers.

In some cases, implementation delays are seemingly due to lack of responsiveness or loss of momentum on the part of your customers. Re-think this problem and see if there’s a way that you can restructure the deployment process so that you’re being more prescriptive for your customers and not requiring them to do things that take so much time and effort.  I recently came across one example with a company that provided configuration options for custom reports in their new social analytics product. As part of their implementation process, they would ask customers to provide them with the top 4 items they wanted to see in their custom reports. Enterprise customers would iterate for weeks trying to get internal consensus on those 4 items, delaying the deployment, and delaying the time to value for customers. The solution: create 4 prescribed reports as defined by the implementation consultant, based on their knowledge of the customer as part of Phase 1 deployment; then allow the customer to modify those reports in Phase 2.

Good social networking and B2C companies really get the importance of Time To Value. They’ve sped up adoption and reduced time to value by implementing sign-up wizards as part of the enrollment process.  By the time a new customer has finished creating a new account on Facebook, LinkedIn, or Instagram, they’ve been prompted to import contacts from their address book or other social networks in order to be positioned to get value immediately. In a previous life I ran deployments for an enterprise social networking technology and as part of our implementation process, we “bootstrapped” user accounts so that every user had profiles built on Day 1 that incorporated expertise from their previous 90 days of activity. Look at your implementation process to determine whether there are any similar opportunities to prescribe/recommend configuration options to your customers or speed system readiness for your customers.

Momentum is incredibly powerful.  By optimizing your deployments for Time To Value, you can maintain, and even increase that momentum to create successful, loyal customer relationships. That, in turn, will lead to a shorter TTR (Time To Reference) …but that’s a whole other metric!

The Importance of a Framework for Customer Success

19 Jul

In my last post, I introduced the concept of an Effectiveness Model as a framework for engagement with your customers.  I introduced it in the context of four other steps to delivering value, but since it’s so fundamental to value delivery, I’d like to drill down on what it is and why it’s so important:


The Concept

The Concept is straightforward. As a provider of a solution, you should be doing more than just throwing software over the transom to your users.  In fact, as a SaaS provider, you need to be proving value to them on an ongoing basis. That’s today’s reality. If you don’t, you risk losing your customers to  competitors who will.  Harsh, but true. Providing a framework for mapping your customers’ progress, comparing their behavior (and results) to “best in class” companies, and showing a path of progress to best practices will help your customers remain engaged with you.  The idea isn’t new.  The “Maturity Model” concept has been around for years in a heavier weight format, and while more complex models and engagement levels apply in B2B, B2C solutions can also benefit from defined models that encourage additional types of usage and provide your customers with a roadmap to become more effective at using your product.

In the image above, each box represents a stage in an example Effectiveness Model for CRM.  The bullet points next to the boxes each represent behaviors representative of each phase.  The process of creating a maturity model for your industry and solution isn’t complicated, but it isn’t just something you can churn out quickly without some careful thought.

Identify 3-5 phases that are indicative of customers’ implementation of your technology.  You may want to start with the bookends.  For your first phase, identify the basics that someone absolutely needs to implement in order to get value from your application.  For your last phase, identify what the absolute, best-in-breed, thought leaders who have, or will implement, your type of technology are doing.  Then map out 1-3 interim phases that are indicative of how companies would progress through the phases.  The CRM Effectiveness Model I put together above is an example of what that might look like.

The concept is simple.  Getting it right, however, will take iterations, critical review, and more iterations.

The Name (Effectiveness vs Maturity)

While “The Industry” has traditionally referred to models like this as Maturity Models, I’ve stopped using that term in customer interactions and internally. I was once in a meeting with a large, strategic enterprise customer and presented the concept of a “Maturity Model” that my team and I had created. I thought nothing of it for a split-second, as these types of things had been called Maturity Models for years. My team and I had spent a good amount of time developing and iterating on a model specific to my company’s industry and showed them characteristics of “mature” vs “less mature” companies. As I listened to the words come out of my mouth, however, and observed my customer’s body language, I realized that the term “maturity” sounded arrogant and condescending. From that point on, I’ve referred to these as Effectiveness Models given that we’re simply trying to make our customers more effective. It’s ok for me to use the term “maturity” when talking to my kids about assuming more responsibility as they get older. It isn’t ok for me to imply to my customers that they are immature because they aren’t using automation and deep analytics. Trusted advisor trumps arrogant vendor. Every time.

Giving Context to Your Customer Communications

Your customers are busy. They’re struggling with priorities just as you are. Whether you know/like it or not, you’re competing for their attention every time you reach out to contact them. I think any customer facing team needs to be aware of two golden rules: 1) Make sure the customer goes in to the call looking forward to getting value from their interaction with you; and 2) Make sure you’ve delivered that value by the end of the interaction so that they are looking forward to their next meeting with you. An Effectiveness Model sets you up for success. Your conversations with your customers are framed around objectives that you’ve set out with them. Your standing meetings and conversations with them can then be framed around what they’re doing (and how you can help them) to make progress.

The Value of Demonstrating Progress

There’s always a need to justify ROI, and to the extent you can do it with hard data, by all means, continue to do so in a way that is meaningful to your customers: Point out how many transactions they’ve performed in your system; if there’s a way of quantifying end objectives, like e-commerce transactions that have resulted from use of your application, then be sure to communicate those. In addition to those concrete numbers, or in cases where the concrete numbers are difficult to capture, it’s important to show your customers progress towards stated objectives. The Effectiveness Model provides a picture and path with clearly defined behaviors and objectives to map that progress. You can use this as a way to both map progress over time as well as identify activities and strategies to achieve the next phase of Effectiveness. Demonstrable progress, together, is a great foundation for a loyalty-based relationship.

An Opportunity to Position Key Features of Your Solution

As you create your industry/company’s specific Effectiveness Model, you have an opportunity to define how key features in your product can help your customers advance along the model. Be extremely careful, however, to avoid being overly self-promotional here or to “force-fit” your features into the model. An Effectiveness Model is just a tool to help advance a trust-based relationship with your customer. The model needs to be genuine and in your customers’ best interests. The reality is that if you have a great product and if you understand your customers, you can make some wonderful, insightful recommendations for them that will provide them with significant benefits, increase their use of your product, and make them more loyal in the process.

If you’ve been using an Effectiveness Model with your customers, I’d be interested in hearing about your learnings and feedback from them. If not, what have been your obstacles to developing one?  Send me a dm on Twitter: @nfranco.  Thanks!

Demonstrating Value and Progress to Your Customers

9 Jul

Creating demonstrable value is the single most important objective of a Customer Success organization.  Renewals, upsells, references all happen when you have a relationship based on value with your customers.  While achieving that objective requires input and contributions from Marketing, Sales, Professional Services, and other parts of the company, the Customer Success function owns the primary responsibility.  Some companies do an incredible job at delivering and proving value to their customer base; however many companies (some would argue most) are working to put a model and plan together to demonstrate value for their customers.

The steps I propose for getting there are, at a high-level, very straightforward:

  1. Identify a Framework and Representative Behaviors for Each Phase
  2. Identify Meaningful Quantitative Metrics
  3. Perform a Benchmark
  4. Create an Improvement Plan
  5. Measure Against Plan, Provide Feedback, and Revise

Getting them right, however, is by no means easy. Each one of them takes thought, analysis of data, and iteration.  The metrics and behaviors you need to identify are going to be unique to your space – and if identified well, will actually be unique to your company, so that you can measure value based on true differentiators that you offer.

So I offer these 5 steps not to make the process look easier than it is, but rather to provide some guidance as you take on your most important task as a company: continuing to earn your customers’ business.

Step 1: Identify a Multi-Phase Framework and Representative Behaviors for Each Phase

Every exercise needs an objective, and ideally a roadmap to get there.  A framework provides your customers with a “bigger picture” view of the landscape and what they should be thinking about in order to be more effective at what they’re doing.  Frameworks also give customers some perspective on where they fall with respect to industry leaders and laggards.

Figure 1: Example of Maturity/Effectiveness Model

Figure 1: Example of Maturity/Effectiveness Model

One framework that works well is a Maturity (or “Effectiveness”) Model.  These models generally consist of 5 (plus or minus 2) categories that represent different levels of maturity/proficiency/effectiveness in your space.  In order to define these categories (or levels of maturity), identify behaviors that are characteristic of each of those levels and associate those behaviors with each level of proficiency/maturity as shown in Figure 1 above.

Customers can look at a framework like this and quickly conceptually grasp the types of behavior/activities necessary in order to advance along the model.  As you develop this framework for your product and space, ideally try to map some of the behaviors that are associated with maturity levels to features of your product, so that you can easily associate customer usage of valuable features with their progress along the Maturity/Effectiveness Model.

Step 2: Identify Quantitative Metrics that Matter and Can Be Measured

In order to objectively measure progress on an ongoing basis, you will need to identify relevant quantitative metrics that drive value, are measurable, and ideally are good indicators of customer health/stickiness.  For example, in the case of a CRM company, you may want to know your customers’ conversion rate of leads or opportunities in order to understand whether you might be able to help them become more effective with your marketing automation solutions.  In the next steps, you’ll compare this data to benchmark data for a given customer and measure improvement.  You can also compare these metrics to aggregates for “like” companies.  As you identify target metrics, you’ll need to distinguish which ones are considered “usage” metrics that you can obtain directly from your SaaS application and which ones will require consent and participation from your customers to obtain.

Step 3: Benchmark Your Customers on Day 1

It’s important to understand the specific stage where each of your customers fit in the model/framework you’ve created, and it’s also important to get some baseline data on quantitative metrics as well.  For larger, higher-touch customers, you should be able to understand this during a consultative sales process; however even with lower touch customers, you should be able to characterize/segment new customers based on system configuration, features purchased/implemented, and initial capture of the quantitative metrics you identified in Step 2 for that customer segment.

Step 4: Create an Improvement Plan

This step is critical and is a combination of art and science as it can be challenging to set targets at the right level.  Your primary objectives should be to:

  • Set targets that are based on incrementally improving from the baseline you measured;
  • Encourage practices and usage of product features that will advance your customers along the Effectiveness Model you defined in Step 1;
  • Create a structure and context for the ongoing digital and interpersonal communications you will have with your customers.

Step 5: Provide Constant, Ongoing Feedback on Progress Against the Plan – And Revise as Necessary

Now that you’ve defined a framework, key metrics, and a plan for improvement against a baseline which you’ve captured, you can engage with your customers in a meaningful way that is focused around helping them get value from your product and become better at what they do.  And you can measure their progress against defined objectives.

As a first step, you may want your CSMs to interpret system data and personalize recommendations to individual, high-value customers.

As you expand this offering to additional customers, you will need to define customer behavioral segments based on the metrics you’re capturing and provide those customer segments with extremely relevant digital content.  For example, if you’ve identified a subset of your customers whose systems data indicate that they haven’t been using a key marketing automation feature of yours and that their conversion data hasn’t improved since their baseline, you can begin a drip marketing campaign to them on best practices in marketing automation and how to use your product to improve those metrics.  That specific message should only go to that identified segment of customers, though, as you don’t want to “spam” your other customers with information that isn’t relevant to them. Your marketing team segments prospects based on behavioral data and delivers relevant content to them.  You should target communications to your customers using similar logic.  Great technology already exists to help you do this.

Helping customers improve and become better at what they do through their partnership with you is one of the greatest ways that you can demonstrate value.  You don’t need to demonstrate it for all customers on Day 1. In fact, the sooner you can deliver it to some customers, the better.  You can begin by implementing this model in a manual way with your most valuable customer segment, then roll it out to your broader customer base by segment – perhaps as you deploy additional Customer Success Automation and Marketing Automation tools. Hmmm… I bet a Customer Success Maturity/Effectiveness Model would fit in perfectly right about now…

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