RESOURCES/Guide
Customer action arbitration: choosing one action per customer
Customer action arbitration is the step that decides which single action a customer receives when several are eligible at once. It compares candidate actions on expected value, applies eligibility and contact policy, resolves conflicts between teams and campaigns, and is allowed to choose no action at all when nothing clears the bar.
Definition
Customer action arbitration
The process of selecting one action per customer from all eligible candidates, using expected value, eligibility rules, contact policy and conflict resolution, including the option of sending nothing.
Every team is optimising the same inbox
Retention has a win-back offer. Growth has an upsell. Product has an onboarding nudge. Finance has a dunning sequence. Each is defensible on its own, and each was prioritised inside its own tool. Without arbitration the customer gets whichever one happened to run first, and the business never learns which of the four was worth sending.
- Contact frequency is capped per channel, not per customer, so pressure accumulates invisibly.
- Conflicts are resolved by campaign start date rather than by value.
- The cost of the action that was not sent is never measured.
How an arbitration decision is made
Arbitration is not a priority number in a spreadsheet. It is an ordered set of filters applied per customer, at decision time.
01
Assemble candidates
Every action the customer is technically eligible for, from every programme, is placed in one pool. An action that never enters the pool can never be compared.
02
Apply eligibility
Consent, channel availability, regulatory constraints, exclusion lists and product state remove candidates outright. These are hard filters, never trade-offs.
03
Score expected value
Each surviving candidate carries an expected incremental value on this customer, net of margin, discount depth and contact cost.
04
Apply contact policy
Per-customer frequency, channel fatigue and quiet periods are enforced across all programmes at once, rather than inside each tool separately.
05
Resolve conflicts
Two actions that cannot coexist, a retention discount and a price increase on the same week, are resolved by value and by the constraints the business set in advance.
06
Choose, or choose nothing
If no candidate clears the value threshold, the correct decision is no contact. Preserving attention is a real outcome and is measured as one.
07
Hold out
A share of eligible customers receives nothing by design, so the value of the arbitration itself can be read rather than assumed.
Prioritisation versus arbitration
| Campaign prioritisation | Customer action arbitration | |
|---|---|---|
| Unit of decision | The campaign. One audience, one treatment. | The customer. One decision per person, per moment. |
| Conflict handling | Resolved by schedule and by whoever owns the calendar. | Resolved by expected value under stated constraints. |
| Contact pressure | Capped per channel, per programme. | Capped per customer, across every programme at once. |
| Doing nothing | Rarely modelled. Silence is a gap in the calendar. | A first-class option with a measurable value. |
| Learning | Which campaign performed. | Which action was worth choosing for whom, against a holdout. |
Test whether you have arbitration or just prioritisation
Pick one customer who received a message last week and answer these.
- Can you list every action that customer was eligible for that day?
- Can you state why the one they received beat the others?
- Is contact pressure capped per customer, or per channel?
- Who resolves a conflict between two teams today, and how long does it take?
- Is 'send nothing' a possible output of your current setup?
- Is there a population that received nothing by design, so you can measure the arbitration itself?
When arbitration is not the bottleneck
- Businesses running a small number of programmes that rarely overlap. The conflicts are visible and a human resolves them well enough.
- Bases too small for per-customer decisions to reach statistical power.
- Environments where regulation fixes the sequence of communications, leaving nothing meaningful to arbitrate.
- Organisations without shared eligibility data, where the candidate pool cannot be assembled in the first place. Fix the data layer first.
Markin is an autonomous growth-science team for large B2C businesses. It investigates why revenue per customer is stuck, forms its own hypotheses across marketing, product, pricing and technical health, chooses the next best action for each customer, launches it through the systems the business already runs, and proves every one against a randomised holdout.
Decisioning tools choose between the actions your team already built. Markin decides what to build.
Questions people ask
- What is customer action arbitration?
- It is the step that decides which single action a customer receives when several are eligible at once. Candidates from every programme are pooled, filtered by eligibility and consent, scored on expected incremental value, checked against per-customer contact policy, and resolved against each other. Sending nothing is a valid outcome.
- How is arbitration different from campaign prioritisation?
- Prioritisation ranks campaigns before they run and resolves clashes by schedule. Arbitration ranks candidate actions per customer at decision time and resolves clashes by expected value under stated constraints. One optimises the calendar; the other optimises the customer.
- Why does 'no action' need to be an option?
- Because contact has a cost that rarely appears in a campaign report: fatigue, unsubscribes and reduced response to the message that actually mattered. If a system cannot choose silence, it will always find a reason to send something, and that reason is never measured against the alternative.
Compare
How this plays out against the categories you already buy.
Neutral, side by side reads on where the decision layer sits next to the tools in your stack.
All comparisons- Personalization vs. revenue decisioningPersonalization tailors the experience. Revenue decisioning chooses which commercial outcome to pursue and proves it in euros. How the two differ in practice.
- Retention analytics vs. retention decisioningRetention analytics explains cohorts and churn drivers. Retention decisioning chooses interventions and proves retained margin. Where the handover sits.
- Recommendation engine vs. next-best actionA recommendation engine surfaces the right content. Next-best action chooses the right commercial treatment. Why relevance is not revenue.
Keep reading
Vocabulary
The terms this guide relies on.
Each one is defined on its own page, precisely enough to quote.
- Recommendation engineA recommendation engine ranks items by predicted affinity for a user, usually inside one surface such as a catalogue, feed or…
- Real-time decisioningReal-time decisioning evaluates a customer's current context and returns an action within the latency budget of the moment…
- Reinforcement learning for marketingReinforcement learning treats customer decisions as a sequence, optimising cumulative long-term reward rather than the next click.
- A/B testAn A/B test randomly assigns customers to two or more variants and compares a pre-declared metric between them.
- Holdout groupA holdout is a randomly selected set of customers deliberately excluded from an action, kept as the counterfactual.
- IncrementalityIncrementality is the portion of an outcome that would not have happened without the action.