Concept card

Net Promoter Score (NPS)

As of 2026-07-24T14:00:00Z

Edited by Cédric-Olivier Mâry, sole editor and publication director — 27 years in the SAP ecosystem. How these pages are produced, and where automation is used.

What is Net Promoter Score (NPS)?

NPS measured at engagement-end predicts referral volume 12 months later at r≈0.55-0.7 — meaning today's NPS forecasts pipeline health better than any other single signal a consultant can collect.

What it is

Net Promoter Score, NPS, is the single-question customer-loyalty metric introduced by Fred Reichheld in 2003 and now standard across B2B service businesses: "How likely are you to recommend this consultant to a colleague, on a scale of zero to ten?" Respondents who answer nine or ten are Promoters, seven or eight are Passives, and zero through six are Detractors; the score itself is the percentage of Promoters minus the percentage of Detractors, producing a number between minus one hundred and plus one hundred. It matters to independent SAP analytics consultants specifically because referrals are the dominant source of new engagements in this market, and NPS is the closest thing available to a leading indicator of referral volume twelve months out.

Why it matters

Anchor-customer relationships typically produce NPS 70-80 from the anchor itself — a score in that range is itself a signal the relationship has reached anchor status.
A score below 0 means the consultant generates more detractors than promoters and needs an urgent engagement-quality intervention before the referral pipeline dries up completely.
The 6-18 month lag between a delivered engagement and the referral materializing is why NPS as a leading indicator matters — waiting for the referral itself is too slow to act on.

Key points

Single 0-10 question; bucket into Detractors (0-6) · Passives (7-8) · Promoters (9-10).
NPS = %Promoters − %Detractors; range −100 to +100.
B2B benchmarks: < 0 critical · 0-30 mediocre · 30-50 good · 50-70 excellent · 70+ rare.
Top-quartile freelance: 50-70 sustained.
Predicts referral volume 12 months later at r ≈ 0.55-0.7.
Closed-loop = the value: Detractor diagnostic call + Promoter referral mining.
Highest-leverage follow-up: 'Who specifically comes to mind?' on Promoters.
Trend > absolute; act on 3-engagement trend, not single scores.
Net Promoter Score (NPS) is mastered only when it changes a named buyer decision.
Start with the semantic contract and control model before demonstrating the tool.

Terms used on this page

NPS: Net Promoter Score — single 0-10 likelihood-to-recommend metric. %Promoters − %Detractors.
Detractor: 0-6 scorer. Likely to badmouth or churn; diagnostic call within 1 week.
Passive: 7-8 scorer. Neutral; ask 'What would make it a 10?'.
Promoter: 9-10 scorer. Likely advocate; ask 'Who specifically comes to mind?' for referral mining.
Closed-loop NPS: Discipline of following up with every Detractor (diagnostic) and Promoter (referral mining). Converts metric to revenue.
Rolling-12-month NPS: Portfolio-level NPS computed over the last 12 months of completed engagements. Trend matters more than absolute.
Cultural offset: Systematic NPS difference across cultures (DE typically -1-2 vs FR/Anglo at equivalent quality). Compare within region, not across.
Survivor bias: NPS only captures completed engagements; mid-engagement churns are invisible. Mitigate via separate failure-rate tracking.

Sources

Full card available to members. What the full card adds: the full decision framework · the SAP vs Snowflake / Databricks / Fabric comparison · the common pitfalls and their fix · the cheat sheet · the architecture schemas · the code blocks · the facts worth quoting.

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