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  • How Customer Success and Post Sales changes with consumption based revenue - Part 1

How Customer Success and Post Sales changes with consumption based revenue - Part 1

Building a Consumption Ready Revenue Machine

When pricing is based on usage, Customer Success and Account Management stops being a renewals team and becomes the steward of value in production. Revenue grows when real workflows run every day, at a cost that is transparent and predictable, that the customer trusts. That changes the job, the metrics, the incentives, and the operating rhythm.

The new mandate

The most helpful post-sales teams in usage businesses behave like an embedded value office. They coach the customer to get full value from what they already bought, they harden the first two or three production workflows, and they teach cost hygiene so budgets feel safe. The outcome you want is simple to say and demanding to deliver: more outcomes per unit of spend, delivered predictably.

Two market shifts make this inevitable. First, hybrid pricing is increasingly becoming the default in B2B software, which means the variable part of revenue is now meaningful across segments. Second, investors examining customer health are leaning harder on adoption and retention quality, not just expansion dollars. Those forces pull Customer Success toward activation, adoption, and cost stewardship as the primary levers of net revenue retention. Recent data points to the hybrid trend very clearly, with adoption rising sharply in 2025 across the companies most of us benchmark against.

What the role actually becomes

In a subscription world, a CSM could survive on relationship management, QBR slides, and a few feature launches. In a consumption world, the role gets more technical and more operational.

Great teams pair a CSM with a forward-deployed partner who looks a lot like a Field CTO. This person helps the customer wire the product into their data, sets sensible quotas and budgets, and tunes workloads for reliability and cost. The message to the buyer is consistent: we will help you succeed and we will help you spend wisely. You do not need to choose between the two.

How the operating model changes

1. From “more” to “more, predictably”

The first promise post-sales must make is predictability. You need to give customers confidence about what a month of healthy usage costs and what it produces. That requires three things:

  1. a clean usage dashboard the customer can read without help,

  2. budgets and alerts that prevent bill shock, and

  3. an adoption plan built around production workflows rather than feature tours.

When those three exist, usage climbs in a controlled way and the renewal feels rational.

2. From QBRs to value reviews

Replace generic QBRs with value reviews built on unit economics. Show outcomes achieved per unit of spend, how reliability and success rates improved, and which workflows are next on the ladder. If you sell credits or commits, include a simple burndown and a date-based forecast at current burn so finance leaders can plan top-ups instead of escalating surprises.

3. From “sell more seats” to “expand the surface area of use”

Growth comes from new workflows, new data sources, and new teams using the product. That is different from adding seats to the same pattern. Treat expansion as a portfolio of workflows, prioritize the ones with the cleanest path to value, and ship them in a cadence customers can absorb.

4. From anecdote to instrumentation

Healthy post-sales teams run on the same telemetry as product and finance. Time to first billable event, number of production workflows, success rate per workflow, commit utilization, daily variance, and margin health by account are the backbone metrics. Investors asking harder questions about GRR, early warning signals, and operational efficiency are pointing in the same direction. The board cares because these numbers predict retention quality better than an NPS screenshot. 

There’s a lot more to touch on here. In the next post, we will discuss how to think about incentives and structures, playbooks that actually move consumption, what good looks like and why all this is worth the effort. Stay tuned!