A Three-Step Playbook for Your First 90 Days

When you step into a new leadership role in Post-Sales, inherit a team, or take over a book of business, you’re handed a puzzle with a thousand pieces.

Everyone has an opinion on where to start. Some say, "talk to the customers." Others insist, "focus on the team." Many point to satisfaction scores as the north star.

I'd say: Follow the money.

It’s the simplest, most powerful first principle. It’s the thread that, once you pull it, untangles the entire strategic knot. Back in spring this year, I was tasked with laying the foundation for a new, proactive Post-Sales department for a client. Their goal was to move from a reactive stance to a strategic one, but they didn't know where to focus their efforts.

Here is the three-step, data-driven story of how we uncovered the truth in their business and built a strategy from the ground up.

Step 1: The Treasure Map – Finding Where the Value Hides
Before you can make a single strategic decision, you need a map of the terrain. For any business, that map is the revenue data. We started by asking two fundamental questions.

First, which of our products are the cash cows?
A quick analysis revealed a heavy concentration. The top three products drove more than 50% of the company's revenue. Meanwhile, a handful of smaller, legacy products were seeing their revenue share decline. This wasn't just interesting trivia; it was the first major clue. It told us where the market sees the most value and where the company's core strength truly lies.

Second, who are our most valuable customers?
The answer was even more revealing. The business wasn't just top-heavy; it was a classic example of the Pareto principle on steroids.
We found that the top 7% companies generated 50% of all revenue.• The top 28% companies drove a staggering 90% of revenue.
This left a "long tail" of two-thirds of the entire customer base—contributing the final 10% of revenue.

We knew which products mattered most and which customers were the lifeblood of the business. This alone is powerful, but the real magic happens when you connect the dots.

Step 2: Decoding Customer Behaviour
Knowing who and what drives revenue is only half the story. The real breakthrough comes from understanding why. We hypothesised that the company's best customers weren't just spending more; they were more deeply integrated into the product ecosystem.
The data proved this in spectacular fashion. We discovered a powerful, undeniable correlation: high-value clients are multi-product clients.

Customers in the top 30% revenue bracket used an average of five different products. Looking at the charts, it was clear that very few of the top-tier clients were using only a single product. As we moved down the revenue ladder into the long tail, the number of products used per customer dropped sharply. This translates revenue into behaviour.

It told us that the path to creating a high-value customer was through product adoption and expansion. The company's most successful clients had already laid out the playbook for growth: the more products a customer adopts, the more valuable they become. This insight gave us the confidence to build a segmentation model that wasn’t based on guesswork, but on the proven behaviours of the best customers.

Step 3: Designing a Strategy That Fits
With the map in hand, we could finally draw the blueprint for the new Post-Sales department. The goal was to align human and AI resources in a way that would have the greatest impact. Instead of treating all customers the same, we designed a tiered model based on revenue contribution.

Tier A (Strategic): The top 30% of revenue. These top companies are true partners. They are multi-product power users and represent the highest growth potential. They would receive high-touch, dedicated engagement. Not scalable but high in value and revenue.

Tier B (Core): The next 30% of revenue. This solid base of companies was the prime audience for cross-selling, as they had the clear potential to become tomorrow's strategic clients.

Tier C (Scale): The next 30% of revenue. For these clients, the focus would be on retention and efficient, scalable growth plays.

Tier D (The Long Tail): The final 10% of revenue. These customers, mostly single-product users, would be managed through a low-touch or digital-first model to ensure profitability. We also looked at COGS for this segment specifically to determine future serviceability.

A Quick Note on a Common Pitfall: The NPS/CSAT Trap
It’s tempting to use satisfaction scores, such as NPS or CSAT, to segment customers. But we found this would have been a critical mistake.
While the scores were high, they told us customers were generally happy, but they didn't help us strategise for the future.
We recommended using this data not for segmentation, but to create a targeted follow-up plan for the small number of Detractors and Passives to mitigate risk.

Strategy Follows Structure
By starting with the simple question—"Where does the money come from?"—we created a domino effect. The revenue data revealed our most valuable products and customers.

That insight led us to understand the link between product adoption and customer value. That understanding allowed us to design a strategic, tiered structure for the entire customer-facing organisation, which helps us make better decisions about AI tools, agent mapping, and how we let humans control this process.

When every decision is anchored to business impact, everything else—from headcount and engagement models to compensation plans and growth playbooks—falls into place.

That is how you take over a book of business and transform it with clarity and purpose, before you get trapped in downstream decision-making that can shorten the duration of your tenure.

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