sales motion – Practical Strategies for B2B Technology Companies

Three Factors that Jeopardize Outbound Program Results

Challenge: Identifying Personas Within Buying Centers is Difficult

I had a brainstorm last week that I believe will lead to more productive outbound programs by identifying a problem inherent in many Account Based Marketing (ABM) programs. In sum, we need to improve how we develop our target buyers at the early stage of program launch. Since this is a new insight for me, this post focuses more on diagnosing he problem rather than recommending solutions. Have you found a better way? Love to hear your thoughts.

We must address several layers of issues to accurately target prospects in a scalable way providing the foundation for outbound/ABM programs. These layers act like concentric circles to get to the ideal program target list. Here are a set of three ‘formulas’ or reasons that describe the top three challenges:

Because:

ABM ≠ Buying Center

AND

Buying Center ≠ Persona

AND

Contacts ≠ Updated

Therefore

ABM ≠ $ROI Potential$

Let me explain.

First, we all love Account Based Marketing and understand that greater customization and effort focused on a limited set of accounts who represent your ideal customer will deliver higher conversion rates. However, when targeting enterprise accounts, there are different buying centers. More specifically, your offering may address the needs of and be purchased by multiple departments, so targeting a ‘company’ does not sufficiently address the buying center because there are actually multiple buying centers. For example, if you sell to developers, your target account many have many different groups of developers who will make different purchase decisions. And this raises further questions. Do these different departments (buying centers) have the same needs, pain points and interests? Do your value proposition, primary contacts and other key elements change across every buying center? If so, then many ABM programs may be missing the mark by not tailoring to a specific buying center within a target account. Factor #1: ABM ≠ Buying Center.

As we dig further into our outbound programs, the buyers are often not in the same department. The personas leading the purchase may be part of one department but in most cases there are personas from different departments involved in the buying decision. To accurately target an ‘Buying Center’, your programs need to consider all of the different contacts associated with the buying center (the collective group of people responsible for making the purchase decision). In many outbound/ABM programs, contacts are selected because they fit key personas but their position in the organization may not be identified in terms of how they fit within the buying center. Factor #2: Buying Center ≠ Persona.

Finally, the targets of our programs often shift jobs — up to 20% of contact details may change every year. While many organizations have deployed CRM account alignment solutions (DiscoverOrg, DataFox, D&B, …), few automatically update contact information. As contact take on new roles/responsibilities and as contacts change jobs, is your database staying current? Likely not. (Personal note — I would love to a cloud solution that automatically updated contact details as they change) Factor #3: frequently Contacts ≠ Updated.

While ABM provides a mechanism for better account and contact selection for outbound programs, there remains a huge gap between this method and how internal enterprise B2B purchase decisions are made. Therefore, your ABM may be delivering less revenue than it could if the programs were more carefully targeted. Clearly there are major gaps in our ability to map organizational buying decisions to a level where our systems can help us execute these programs at scale. That’s the bad news — but realizing this gap is the first step to designing better processes.

If we, as a marketing department, take our ABM efforts to the next level with tailored targeting processes, we will be more closely aligned with the actual purchase process. For now this starts with a careful examination of the purchase process, personas, target accounts and more, in order to develop a strategy with available tools. As we identify target accounts, we must identify all of the personas across the organization associated with the buying decision to increase success rates. We will need to lean harder on our tech stack providers to give us greater insights into these areas for better and easier segmentation at scale. In the end, this will be an optimization of outbound programs to have more precision and greater results.

Lesson: If we take the time to identify and target all of the contacts associated with organization buying centers, our outbound campaigns will be more productive and drive greater revenue.

Eliminating Leads: Migrating CRM to Support Account Based Marketing

Orchestration

Here is a recent presentation I gave at the OpStars event alongside Dreamforce. It describes the motivation behind eliminating the Lead object in CRM to support ABM and gives the experience of one startup making the transition.

Moving to Account Based Marketing – OpStars Event Presentation

Define Your Sales Motion First Before Applying Demand Generation

Challenge: When to Invest in Demand Generation?

Demand generation is a perennially ‘hot topic’ because every organization needs to ensure a consistent flow of prospects ongoing to ensure it can meet its sales objectives. Take the recent focus on Account Based Marketing as refinement of programs, processes, systems and data to orchestrate and optimize demand generation results. Every emerging organization must have a clear customer acquisition strategy – or at least a plan to get to one. These involve go to market channels/programs, MarTech stack, programs and ultimately the expected cost of customer acquisition. Since all early stage companies need to quickly scale sales, isn’t investing early in demand generation the sure fire way to do this?

All too often, companies are pouring money into the demand generation programs and systems without a clear understanding of the customer journey. Demand generation is a set of tools and processes designed to support successful customer acquisition, onboarding through to customer success and advocacy. Without clearly understanding both the buyer persona and their journey, marketing cannot hope to make this process faster and more reliable.

This thought was raised in a recent article posted by a CEO entitled “How I Burned 10 Million Dollars So You Don’t Have To”. In the article, Matt Munson notes:

“We went ALL IN on an inside sales driven model. For good reason. With solid proof. But we nearly broke the company. We certainly caused incredible heartache for dozens of people.

I wish we’d tested earlier. More thoughtfully.

I regret not staying smaller for longer. Living off $3M to find product-market fit, with a real, scalable acquisition channel. And keeping the other $5M in the bank for scaling powder.”

Matt’s quote is spot on. It is so clear that we need to get this right. Every discretionary dollar is precious – and we can’t start data gathering and testing early enough. Moreover, before we spend anything, we need to clearly understand where in the customer journey this program or tool will have impact and how we will measure its effectiveness.

The best early stage companies I have seen most recently focus solely on sales in the early stages before engaging marketing to help scale. Even later, with a defined sales process, these early investments need to be scoped and measured appropriately. Over the past several years, I have been continually surprised with results and had to make significant resource allocation changes. Matt’s advice is true for us all. First identify the buyers and their process from awareness to engagement to purchase and to ongoing success. Set in place expectations for your programs – in cost, conversion rate, timing and more. Doing this on a shoestring marketing and sales budget is the right place to start and forms the basis of ongoing testing and optimization.

Investing in demand generation people, systems and processes too early can easily drive interest and engagement that does not result in revenue. The result is a recipe to burn cash and miss key milestones.

Lesson: Understand your sales motion first and only then scale demand generation with a measurement and test plan in place.