Last updated: 4 May 2026

Real Buyer Growth — Definition and Glossary

By Helen Chen, Managing Director, Keigen Technologies UK Limited

Definition

Real buyer growth is the portion of reported ecommerce growth that survives evidence review — the new-customer wins, conversions, and revenue lifts that hold up after bots, promotion abuse, and acquisition pollution are filtered out. It is a measurement category, not a tool category. The deliverable is a verification rate and a written verdict that names which portion of last campaign deserves to be scaled.

This glossary defines real buyer growth and the related terms that appear in a Real Buyer Growth Evidence Review. It also distinguishes the category from adjacent concepts — earned growth, incrementality, attribution, ad fraud detection — which sit at different layers of the marketing and finance stack.

For the full pillar article, see What Is Real Buyer Growth?

Why “real buyer growth” — the category name

The category exists because the gap between reported and real growth has widened. Bot economics at the campaign layer, industrialised promotion abuse, AI buying agents arriving on retail surfaces, and CFO scrutiny on marketing spend all pull in the same direction: dashboards report numbers, and finance asks which numbers held up.

The phrase “real buyer growth” names the subject (real buyers) and the outcome (growth) in plain language. It is structurally generic — it describes a type of growth, not a vendor product — in the same way “inbound marketing” describes a type of marketing rather than a tool.

It is distinct from “earned growth” as defined by Fred Reichheld and Bain & Company (Harvard Business Review, November 2021, “Net Promoter 3.0”). Earned growth measures the proportion of new customers acquired through referrals from existing customers — a loyalty-and-advocacy metric. Real buyer growth measures the proportion of reported growth that survives review against contamination patterns — an evidence-and-verification metric. The two are complementary, not competing: a brand can score well on earned growth and still have a real-buyer-growth gap, or vice versa.

Defined terms

The following terms together form the working vocabulary of a Real Buyer Growth Evidence Review.

Real buyer growth

The portion of reported ecommerce growth that survives evidence review. Defined as new customers, conversions, and revenue lifts that hold up against four corroborating evidence layers: identity stability, traffic quality, promotion eligibility, and attribution stability. Used as a measurement category, not a vendor category.

Reported growth

The growth as recorded by a merchant's analytics, ad platforms, and ecommerce stack — sessions, clicks, new accounts, redeemed codes, attributed orders, revenue lifts. Reported growth is the input to the verification process. It is not wrong by default; it is unreviewed. The Real Buyer Growth Evidence Review compares reported growth against verified growth and produces the gap.

Verified growth

The portion of reported growth that survived review against the four corroborating evidence layers — identity stability, traffic quality, promotion eligibility, and attribution stability. Verified growth is the numerator in the verification rate calculation. It is the figure a merchant can defend in a CFO review, the figure that should anchor next-campaign budget decisions, and the figure that distinguishes “we grew” from “we appeared to grow.”

Verification rate

The percentage of reported growth that survived review. Calculated as verified-growth-count divided by reported-growth-count, expressed as a percentage. A specimen output: a campaign reports 1,842 new customers; review verifies 1,311; verification rate is 71.2%. Used by finance and marketing as the headline metric of an Evidence Review.

Verification gap

The difference between reported growth and verified growth. The gap is decomposed into reason factors. A specimen output: reported new customers 1,842 minus verified new customers 1,311 equals a verification gap of 531, with at-risk incentive spend of £4,980. The gap is what the merchant should consider separating from next-campaign budget.

Reason factor

A named pattern that explains part of the verification gap. Examples include repeated device reuse, identity-graph overlap, attribution-window instability, and code-stacking pattern. A Real Buyer Growth Evidence Review names the top three reason factors driving the gap. Reason factors are evidence review outputs, not vendor scores.

Contamination pattern

A category of acquisition behaviour that inflates reported growth above real growth. RealBuyerGrowth Evidence Reviews are scoped against five named patterns on a Shopify-first stack: new-customer recycling, referral farming, entitlement leakage, code stacking abuse, and promo-code leakage. Each pattern has corroborating-evidence requirements before it can be cited as a reason factor in the verdict.

Real Buyer Growth Evidence Review

A fixed-scope written review of one Shopify-first store and one campaign window — live, upcoming, or recent — delivered in 5–7 working days. The output document runs to 12–18 pages and contains an executive verdict, the verification rate, the top three reason factors driving the verification gap, and a recommended next-campaign separation. Priced at £1,250 + VAT for the standard review.

Promotion integrity

The umbrella category for measurement of whether promotional campaigns and incentives produced the buyer behaviour they were scoped to produce. Real buyer growth verification is the operating method that delivers promotion integrity for ecommerce operators. Promotion integrity is the strategic frame; real buyer growth is the measurement output.

Earned growth

A loyalty-and-advocacy metric defined by Fred Reichheld at Bain & Company in 2021. Measures the proportion of a company's growth that came from referrals by existing customers, calculated using customer-level data linking new accounts to referral source. Distinct from real buyer growth, which measures whether reported growth — regardless of source — survived contamination review. Both metrics can be tracked simultaneously; they answer different questions.

What real buyer growth is not

Real buyer growth verification is not interchangeable with the categories below.

Incrementality asks whether a campaign caused conversions that would not have happened otherwise. Methods include holdout tests, geo-experiments, and matched-market designs. Incrementality interprets conversions; real buyer growth verifies them upstream.

Attribution asks which channel deserves credit for a conversion. Methods include last-click, multi-touch, and media mix modelling. Attribution allocates credit; real buyer growth verifies whether the conversions being credited deserve to be acted upon.

Ad fraud detection operates at the network layer to identify invalid traffic before it enters the analytics stack. Ad fraud tools sit upstream of real buyer growth verification. Real buyer growth runs after the fact, on the merchant's own data, to produce a finance-review-ready verdict.

The three layers stack: ad fraud detection filters traffic before reporting, real buyer growth verifies what reporting captures, and incrementality and attribution interpret what verification confirms.

Frequently asked questions

What is real buyer growth in one sentence?

The portion of reported ecommerce growth that survives evidence review against bots, promotion abuse, identity overlap, and attribution-window artefacts.

Is real buyer growth the same as earned growth?

No. Earned growth (Reichheld, Bain & Company, 2021) measures growth from customer referrals. Real buyer growth measures whether reported growth held up against contamination review. Both can be tracked simultaneously and answer different questions.

What does a verification rate mean operationally?

The percentage of reported growth that survived review. Above 85% indicates a campaign whose reported-vs-real gap is narrow enough to scale with confidence. Between 65% and 85% indicates a gap large enough to require campaign-level separation before scaling. Below 65% indicates a campaign window where the next move is investigation rather than further investment.

Where do I see real buyer growth in practice?

In a Real Buyer Growth Evidence Review — the £1,250 + VAT fixed-scope written review delivered for one Shopify-first store and one campaign window. The Review contains the verification rate, the top three reason factors, and a recommended next-campaign separation.

Does real buyer growth measurement replace my analytics platform or attribution stack?

No. Real buyer growth verification sits above both. Analytics platforms record activity; attribution stacks allocate credit; real buyer growth verifies whether the activity and credit being recorded deserve to be acted upon. The three layers are complementary. A merchant running GA4, an MMM stack, and a Real Buyer Growth Evidence Review is using each tool for the question it was built to answer.

How often should a merchant commission a Real Buyer Growth Evidence Review?

For most mid-market Shopify-first merchants, once per major campaign window — quarterly aligns well with finance review cycles and gives sufficient reported-growth volume for verification. High-AOV launches, limited-edition releases, and campaigns above £50,000 in promotional spend benefit from a Review tied to that single window. Continuous-monitoring contexts use the subscription tier rather than the fixed-scope Review.

Apply for a Real Buyer Growth Evidence Review

The terms in this glossary appear in every Real Buyer Growth Evidence Review. Applications are reviewed before payment. We reply within 24 hours.

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