Course Highlights
This account management course will:
- Introduce the Engagement Ladder, a four-rung framework for matching account management approach to customer expectations and strategic value.
- Guide participants in segmenting accounts by engagement level, growth potential, and service complexity.
- Present strategies for adding value across all customer segments by improving responsiveness, clarity, and ease.
- Apply behavioral economics principles to reduce customer friction and guide decision-making without pressure.
- Build account intelligence skills for recognizing patterns, tracking signals, and anticipating needs before customers announce them.
- Guide participants in developing realistic engagement plans using the Engagement Ladder and a three-lever planning structure.
Course Overview
Account managers who treat every customer the same way will over-serve some, under-serve others, and miss the signals that separate a stable account from one that is quietly looking elsewhere. This course addresses that problem directly by giving participants a framework for thinking about accounts more deliberately and a set of tools for acting on what they see.
The day opens with a reverse exercise: how to lose a high-potential account in under 30 days. The sabotage exercise is intentionally irreverent, and the discussion that follows establishes the real argument of the course. Not every customer wants a strategic relationship, and not every account deserves one. The Engagement Ladder gives participants a way to assess where each account actually stands and how to match their approach accordingly.
From there, the course builds through a connected set of modules. Participants will examine account manager behaviors sorted by engagement level, apply behavioral economics to understand why customers delay, resist, or disengage, and develop the account intelligence habits that surface risk and opportunity before they become obvious. A running case study follows twelve customer profiles from an industrial adhesive company through every module, giving participants a consistent portfolio to analyze, debate, and return to as each new framework is introduced.
The day closes with participants drafting an engagement plan for one of their own accounts using the three-lever structure introduced in the final module. The plan leaves with them. So does the portfolio of tools developed throughout the day.
The following outline highlights some of the course’s key learning points. As part of your training program, we will modify content as needed to meet your business objectives. Upon request, we will provide you with a copy of the participant materials prior to the session(s).
Program Objectives
At this program’s conclusion, participants should be able to:
- Distinguish among the four customer engagement levels using the Engagement Ladder and identify where their current accounts fall.
- Assess account strategies by evaluating approaches across a shared customer environment.
- Segment accounts based on engagement level, growth potential, and service complexity to align resources appropriately.
- Determine how to add value across all segments by improving responsiveness, clarity, and ease without relying on extras.
- Apply core behavioral economics principles, including loss aversion, anchoring, and choice overload, to reduce friction and guide customer decisions.
- Use account intelligence techniques, including trend recognition, signal tracking, and pattern shifts, to anticipate needs and uncover risks.
- Develop realistic engagement plans for individual accounts by combining the Engagement Ladder, three-lever planning, and current behavior data.
Workshop Modules
The Account Manager vs. the Order Taker: Understanding the Four Levels
The workshop opens with a team challenge: design a strategy to lose a high-potential account in under 30 days. Teams have ten minutes to build their sabotage plan and sixty seconds to present it. The exercise is sarcastic by design, and the debrief that follows makes the real argument of the course: the behaviors that destroy accounts are often the behaviors that look like normal account management from the inside. From there, participants will examine the Engagement Ladder, a four-rung framework that distinguishes the Strategic Partner from the Embedded Partner, the Transaction Manager, and the Order Taker. Each rung describes a distinct set of customer expectations and a corresponding account manager role. Participants will apply the ladder to twelve customer profiles drawn from an industrial adhesive company and assign each account to a rung, discussing what happens when an account manager over-engages or under-engages relative to what the customer actually expects.
The Right Fit: Matching Behaviors to Accounts
Understanding the Engagement Ladder conceptually is one thing. Recognizing it in daily behavior is another. This module gives participants a set of real account management behaviors and asks them to sort each one by the rung it reflects. Some behaviors represent high-touch, forward-looking engagement. Others are designed to be efficient and low-friction. The sorting exercise surfaces the judgment question at the center of account management: not what is the right behavior, but what is the right behavior for this account. Participants will then work through a team draft exercise, building an account management team from a pool of sixteen candidates with varying strengths, blind spots, and track records. The draft requires teams to think explicitly about which behaviors support account stability and growth and which ones introduce risk, churn, or internal friction.
Adding Value to Customer Segments: Moving Beyond Product and Price
Value in account management rarely comes from extras. It comes from fewer surprises, faster answers, less back-and-forth, and more transparency. This module opens with a self-assessment across five behavioral categories: responsiveness, clarity and communication, proactivity and anticipation, ownership and follow-through, and customer experience and ease. Participants will score themselves honestly, identify their strongest and weakest categories, and discuss what changes would produce the most immediate improvement. The group will then analyze six account manager emails drawn from the IAS case portfolio, evaluating each one for what it does well and where it misses. The module closes with a questioning exercise: for each rung of the Engagement Ladder, what questions add value, surface risk, and signal to the customer that the account manager sees the bigger picture? Participants will apply the questioning framework to one of their own accounts before the module ends.
Behavioral Economics: Buyer Behavior and Customer Decision Triggers
Customers do not always make decisions based on data or logic. They delay upgrades, avoid new processes, and stay with inefficient routines because the change feels harder than the status quo. This module introduces five behavioral economics principles that show up regularly in B2B account management: loss aversion, anchoring, status quo bias, choice overload, and social proof. For each principle, participants will examine what it looks like in practice, how to distinguish it from related patterns, and what a small adjustment to messaging, timing, or framing can do to reduce friction. The group will return to the twelve IAS customer profiles and apply a behavioral lens to three of them, identifying which principle is likely influencing each account’s current engagement and what one change would work with that pattern rather than against it. Participants will close the module by applying the same analysis to one customer from their own portfolio.
Account Intelligence: Anticipating Needs and Uncovering Opportunities
Customers rarely announce what they need, and by the time a problem is visible, the window to prevent it has often closed. Account intelligence is the practice of noticing small shifts before they become large ones: a change in order volume, a new contact copied on correspondence, a drop in technical questions from an account that used to ask them frequently. This module introduces five signal categories, including volume changes, SKU behavior, service history, timing shifts, and contact activity, and examines what each one can indicate. Participants will work through a set of signal scenarios, deciding which require immediate action, which require pattern confirmation over time, and which assumptions would need to be tested before escalating. The module closes with participants identifying a current signal from one of their own accounts and naming their next step to explore or confirm it.
More Than a Concept: Creating an Account Engagement Plan
Good account managers solve today’s problems. The goal of this module is to build the habit of preventing tomorrow’s. An engagement plan gives a clear structure: where each account stands, what kind of interaction it needs, and how to show up consistently over time without over-serving the wrong accounts or under-engaging the right ones. The module introduces three levers: level, which describes where the account sits on the Engagement Ladder today; cadence, which defines how often and through what channels engagement should happen; and goal, which names the specific result the account manager is working to influence. Participants will apply all three levers to two case accounts, Mercury Fasteners and Holloway Coatings, before building a short engagement plan for one account from their own portfolio. The plan is specific enough to put into practice the following week.
Target Audience
This workshop is designed for groups that want to:
- Build a more deliberate approach to managing a diverse customer portfolio.
- Develop the judgment to match engagement level to customer expectations and strategic value.
- Strengthen account intelligence and early warning skills across the full portfolio.
- Apply behavioral and strategic thinking to retain, grow, and stabilize key accounts.
Frequently Asked Questions
Who should attend this account management course?
This course works well for inside account managers, customer success professionals, and anyone responsible for managing a portfolio of business customers. It is not a sales course. It is designed for the people who keep accounts running well after the sale: managing documentation, resolving issues, monitoring performance, and making sure the relationship holds under pressure. Teams that attend together often find the rung-sorting and draft exercises most productive because they are making judgment calls about real shared situations.
Is this course appropriate for both new and experienced account managers?
Yes. The frameworks are accessible enough for people new to the role and specific enough to challenge experienced account managers who have been operating on instinct. The behavioral economics and account intelligence modules in particular tend to produce the most discussion among experienced practitioners because they name patterns that veterans recognize from their own portfolios but have not necessarily examined systematically.
How does the case study work?
A fictional industrial adhesive company, IAS, runs through the entire day. Participants will work with twelve customer profiles from the IAS portfolio, assigning them to Engagement Ladder rungs, drafting an account management team to support them, applying behavioral economics to explain their decisions, reading account manager emails written on their behalf, and building engagement plans for two of them. The case is complex enough to require genuine judgment and consistent enough to reward the effort of learning it. By the end of the day, participants know those twelve accounts well and can see how the tools they have developed apply across a range of customer types.
How much of the day is individual work versus group discussion?
Both run throughout the day. The rung-assignment exercise, the behavior sort, the email analysis, the signal identification, and the engagement planning are all team or individual activities. The debrief discussions around the sabotage exercise, the draft, the behavioral economics scenarios, and the account intelligence signals involve the full group. The balance is intentional: participants need to think through their own accounts, and they benefit from hearing how others approach the same decisions with different customers and different organizational contexts.
Can this course be customized for our industry or customer base?
Yes. The IAS case is designed to be adaptable, and the behavioral profiles, email examples, and signal scenarios can be adjusted to reflect the customer types, industries, and account dynamics most relevant to your group. Before the session, we gather information about how your team manages accounts, where engagement tends to break down, and which customer segments produce the most friction or attrition. That conversation shapes the emphasis throughout the day.
What do participants leave with?
Participants will leave with the Engagement Ladder applied to their own accounts, a self-assessment identifying their strongest and weakest account management behaviors, a set of questions calibrated to each engagement level, a behavioral economics reference for common customer decision patterns, a signal-tracking framework applied to at least one current account, and a completed engagement plan for one customer in their portfolio.