Whenever we talk to prospects about what’s broken in their marketing efforts, . 8 out of 10 tell us analytics and attribution The reason for this is the disconnect between their data sources. In , the conversation usually begins and ends with traffic and engagement analytics. CRM and product-usage data are managed by different stakeholders. As a result, they rarely enter the conversation for in-house marketers. B2B SaaS marketing strategy The silos formed by these different groups have other consequences as well. One of them is a fragmented view of the customer journey. An incomplete picture often leads to missed opportunities to attract and move a big percentage of deals forward. better customers To fix this, B2B SaaS companies have to examine these three verticals as a whole rather than disparate parts. But the real question is: How? We believe that B2B SaaS companies should start by measuring These are based on product-usage data of both your best and worst-fit customers. Once determined, you must then feed that information back to your sales and marketing teams. product-qualified KPIs. Companies with stakeholders who share in real-time, rather than consolidate internal data are typically better off than companies that don’t. They become empowered to improve their ad targeting, content, and sales calls, which can often lead to: More qualified traffic Higher conversion rates Better prospect leads Lower churn rates And finally, higher lifetime value customers In this article, we’ll explain how you can connect the dots between these three areas. But before we do, let’s first look at the mistakes we see many companies make in their SaaS marketing analytics. We’ll also expand on measurement and what product-qualified KPIs your company should start analyzing now. The Mistakes Made When Measuring B2B SaaS Marketing Analytics Most B2B SaaS companies obsess over the wrong benchmarks. They tend to worry about improving traffic data, like sessions or conversion rates on form sign-ups. They also don’t scrutinize important analytics in their CRM, which leads to fewer sales. In our experience, for many companies, 1 in 10 demos go completely unanswered. Measuring the wrong metrics often leads to an inaccurate view of the customer’s journey. For example, most SaaS businesses don’t consider their cost per customer acquisition to what stage a customer is in. relative Results, like website visits, are often less expensive because only attention, not money, is exchanged. As prospects move closer to becoming customers, these results incrementally start to creep up in cost. These are only a handful of pitfalls caused by the disconnect between your marketing, CRM, and product data. Below are four bigger mistakes we see companies make early on in the process: Mistake #1: Tracking the Wrong Conversion Goals The customer journey often begins with the click of a PPC ad. It then progresses through several more steps, like navigating through different pages on your . From there, they eventually get to a form to sign up for a demo. website Most B2B SaaS marketers stop measuring there. But on the other side of that form are other important steps, such as your thank you page, the call itself, and what happens your product is purchased. after Oftentimes, we’ll see B2B SaaS companies place a premium on increasing form fills for demos. But, it’s rare to find them tracking the downstream conversion of those signups. And without analyzing sales and product-usage data, they’re left with an incomplete picture of who your best and worst customers are. As a result, they might build a strategy that often brings in lower-quality visitors. Take for example the hypothetical marketing and sales cycle below. It starts with a PPC campaign that runs for $1,000. But notice the cost per acquisition varies depending on what stage the prospect is in. We think that companies should: Measure conversion goals that track user behavior related to purchase or product expansion. Measure it costs to drive traffic to content that indicates middle or bottom-of-funnel intent, like pricing or thank pages. how much Take into account purchasing behaviors and actions only active users would take. Mistake #2: Using Google Analytics’ Default Settings for Conversion Values Most B2B SaaS companies leave their conversion values set to $1 in Google Analytics. But they should actually adjust this metric relative to what a deal is worth to them. A conversion value is not so much about what you wish to pay to acquire a customer. Instead, it’s more about the amount you earn at the end of the sales process. We tell companies to think about their conversion values relative to the outcomes that matter most for them For many companies, that can mean basing these on calls between sales teams and prospects. . To figure out the optimization for this, work backward from the end of your customer’s journey. Look at what happens when someone has become a customer or even expanded their usage of your product. Working with the end in mind enables you to give appropriate values to other actions that occur in your digital marketing and sales phases. To illustrate, consider this example: A sale is worth an annual contract value of To close one sale, you have to talk to five prospects. One out of five equals a conversion rate. Take those two numbers in bold and multiply them to get your conversion value. $10,000 X 20% = $10,000. 20% $2,000 conversion value In other words, each sales conversation is worth $2,000 to you. That means you would be happy to pay that exact figure or less to talk with a potential customer. Mistake #3: Tracking Only Original and Last Referrers in Their CRM Many B2B SaaS companies only track the first and last touchpoints of a customer’s journey in their CRM. Beyond keeping tabs on the first ad click and final sales call, they don’t examine the interactions a customer has with their business in between and after onboarding. The reason for this is often because it’s the default way in which most CRMs are configured. It might seem like enough, but crediting only your original and the last referrer is a myopic approach. The result is a lopsided attribution that doesn’t give you complete insight into how the buying and expansion process plays out. We recommend transitioning away from this bi-modal CRM model into one that’s interconnected. The holy grail would be to set up your CRM to provide you with a lifetime history of every interaction prospects and customers have with your business. Platforms like HubSpot allow you to set this up fairly easily. This would entail tracking engagements such as: A prospect or customer’s visit to relevant to them feature and benefits pages Sign-ups for demo requests Thank you page sessions after they’ve signed up Mistake #4: Measuring Sales Accepted Leads in Their Cost Per Acquisition It’s standard practice for many B2B SaaS companies to set their CPAs relative to their sales accepted leads. But instead, we think it’s more effective to connect CPAs to . sales-qualified leads It might sound like these two important metrics are one and the same. But there’s a difference between them that makes sales-qualified leads much more valuable. A sales-qualified lead is a prospect that moves further down the sales cycle. Meanwhile, sales-accepted leads are prospects that may or may not end up being qualified . So many of these end up falling out of the sales process. Sales cycles, like marketing campaigns, are set up like funnels. They start with a discovery call, move onto a demo conversation, and finally finish with a closed deal. When data isn’t connected between stakeholders, information about how a prospect moved through your sales cycle rarely gets fed back to your marketing activities. Connecting the Dots Between Your Marketing, Sales, and Product Data The first step in this whole process is fixing the mistakes we addressed above. To do that, you first need to determine your product-qualified KPIs. Discuss how much each one is worth to you and work through the math. From there, look at your CRM and each of your funnels that represent the three stages of the customer journey and apply values to them. Create a spreadsheet and start asking yourself about all the actions you want to measure. Begin with the end in mind. Analyze who your most profitable customers are. Then, consider the following: Their interactions with your product. What they think and say about you. How much they’re paying you. Take this information and make use of them at the earlier stages of your customer journey. Some of the ways you can incorporate this information are: Creating and Excluding Negative Lookalike Audiences in Your Ad Targeting have fundamental qualities that make them unfit for your product. Instead of setting that information to the side, give it to your marketers. They can use that data to exclude anyone matching the characteristics of your churned customers from your ad targeting. Churned customers The telltale sign will be if you notice higher conversion rates in your analytics tools. By excluding negative in your targeting, you should generate higher-value incoming traffic. How can you measure if this works? lookalike audiences It effectively becomes a virtuous cycle of higher retention. Better quality traffic should result in better quality leads and better quality customers. Highlight Popular Features Among Paying Customers at Earlier Stages of the Journey When you look closely at product data, you’ll discover that you have certain features that drive customers to upgrade. Many companies use that information to create upsells to existing customers. But you can take that a step further by spotlighting these details in marketing and sales material for prospects. For example, let's say your product’s three main benefits are speed, certainty, and insight. You come to discover that many of your customers who upgrade to premium plans most enjoy its speed. They specifically leave high ratings of your product’s automation capabilities. Knowing this, you can work that information into other areas of your website. Highlight your automation features in for form signups or even in the messaging on your thank pages. You can do so by including testimonials that feature customers who rave specifically about the speed of your product. landing pages Your Next Steps Connecting your traffic and engagement, CRM, and product data is a sequential process. Have the end mind with your product data handy. But start by improving your attribution by attacking traffic and engagement data . first Determine your conversion goals and values. How you’re measuring your traffic and engagement data is the foundation of this entire process. If it’s not solid, the latter two stages of data sharing will suffer. That means begin by getting your Google Analytics in order. Once you’ve addressed your web analytics, move onto your CRM. Move away from the bi-modal model we discussed earlier in the article. Set up your CRM to track your touchpoints with customers beyond that first click and the last sales call. Finally, your last move is to begin funneling your product-usage data back to the previous two stages of your customer journey. This is a matter of sharing details about both your best and worst customers to your marketing and CRM stakeholders. Doing so can help you generate higher qualified traffic. Getting all your data sources connected isn’t a process that can happen overnight. In our experience with clients, it takes around two quarters to accomplish. The reason why is because people are at the heart of this process. You need humans to agree on what to measure and how much certain actions are worth. You need humans to tag the right touchpoints with your customers all the way through. You need humans to take that data and interpret what all of it means. These are three strategic conversations that stakeholders within your company need to have. A commitment to conducting them is an opportunity for you to align their incentives while bringing better quality customers into the fold of your business.

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4 Common B2B SaaS Marketing Analytics Mistakes and How To Avoid Them

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