PROVEPT-PRV-9497

Comparison Statistics

A performance number stated against a benchmark or rival, so the figure delivers a verdict the moment it lands.

Definition

What it does

Comparison statistics express a result as a ratio or margin against a reference point: a competitor, an industry average, a category norm, or the alternative the reader would otherwise pick. Rather than a bare figure, the number arrives pre-measured against something familiar, so the reader instantly knows whether it is good. The move fuses a metric with its yardstick in a single stroke, turning an abstract quantity into a judgment the reader can feel with little math of their own.

Why it works

A raw number floats. The reader cannot tell whether twenty-seven miles per gallon is impressive until it sits beside the average car's fourteen. By supplying the yardstick inside the claim, the copy does the reader's judging for them and hands back a conclusion that feels self-evident. The comparison also frames the choice: once a product is defined as faster, cheaper, or stronger than the named alternative, that alternative becomes the loser by the writer's own measure. The figure gains authority because it is relative, checkable, and already interpreted.

Where it appears

Formatssales letters, sales pages, product pages, landing pages, print ads, case studies, about pages, magalogs, and 11 more formats
Position in the copyproof, body copy, hooks and openers, headlines, bullets, subheads, the offer, stories, and 1 more positions
Industriesinvesting, B2B SaaS, marketing education, DTC food and drink, supplements, and 30 more industries
In the Taxonomy364 examples from 242 brands

* Most frequent first, based on materials selected for the Persuasion Taxonomy corpus.

Examples of Comparison Statistics

2020s·Khan Academy

“Students in partner districts are 6x more likely to reach recommended learning levels than when using Khan Academy on their own.”

An education nonprofit reports a learning outcome for classrooms in its partner program against the same tool used unsupported.

Why it’s this techniqueThe claim runs on a numeric ratio, '6x more likely,' that sizes one outcome against another rather than asserting a flat benefit. The structural tell is the explicit two-condition frame, 'in partner districts' set against 'when using Khan Academy on their own,' with the multiplier bridging them. This is the shape of a comparison built on measured figures, not a testimonial or a bare feature boast. The magnitude lives in the gap between the two states, and 'reach recommended learning levels' supplies the concrete metric being multiplied, which is what makes the number legible as evidence rather than decoration.

Classification

Primary technique
PT-PRV-9497
Classification confidence
0.95
Source
Khan Academy, 2020s web page
Also an example of
2020s·Current

“Interest: N/A vs. Personal Loans 6%-36%, Payday Loans 400%+, Credit Card Cash Advance 22%-25%”

A fintech app lays its cash-advance cost beside the interest rates of the borrowing options it hopes to replace.

Why it’s this techniqueThe copy sets one attribute, 'Interest', against a lineup of named rivals with hard numbers attached, so the reader scores the product on a single measurable axis where 'N/A' reads as zero next to 'Personal Loans 6%-36%', 'Payday Loans 400%+', and 'Credit Card Cash Advance 22%-25%'. the structural tell is the side-by-side numeric ledger, 'stacks up' framing plus a row of competitor figures, which turns a claim into an apples-to-apples table rather than a bare boast. The reader does the arithmetic and arrives at the verdict the copy wants without being told it.

Classification

Primary technique
PT-PRV-9497
Classification confidence
0.95
Source
Current, 2020s web page
Also an example of
2020s·Cursor

“Composer is a frontier model that is 4x faster than similarly intelligent models”

A developer-tools company rates its model's speed against comparably capable rivals.

Why it’s this techniqueThe claim runs on a measured ratio held against a peer set, asserting Composer is '4x faster than similarly intelligent models' so the number does the persuading rather than an adjective. The structural tell is the explicit multiplier bound to a named comparison class, 'similarly intelligent models,' which fixes a baseline and reports the gap as a figure instead of a vague boast like fast or fastest. Though 'frontier model' flatters the product on its own, the copy is built on the relative measurement, since removing the multiplier and the peer group leaves nothing quantified to stand on.

Classification

Primary technique
PT-PRV-9497
Classification confidence
0.94
Source
Cursor, 2020s web page
2010s·Zacks Investment Group

“Zacks #1 Rank companies have tripled the market with average yearly gains of +28%”

An investing newsletter frames its ranked stocks' long-run gains against the broad market.

Why it’s this techniqueThe claim earns its force by measuring one performer against a named benchmark, asserting the ranked companies 'have tripled the market' and pinning that to a precise 'average yearly gains of +28%'. The reader is handed a ratio, three times a reference point, not a bare result. The structural tell is the explicit second term. 'Tripled the market' sets a comparison floor and reads the gain as a multiple over an outside standard, so the number means nothing without its counterpart, which is exactly what separates this from a plain performance stat that would simply report a return in isolation. The 'since 1988' framing 'through recessions and corrections' only widens the sample the comparison rests on.

Classification

Primary technique
PT-PRV-9497
Classification confidence
0.88
Source
Zacks Investment Group, 2010s email
1960s·Volkswagen

“27 miles to the gallon. The average car (thirsty devil that it is) only gets 14.”

A car ad sets its fuel economy beside the typical car's to argue running-cost savings.

Why it’s this techniqueThe copy sets its own figure against a reference figure, pinning '27 miles to the gallon' beside the 'average car' that 'only gets 14' so the reader reads worth as the gap between the two numbers rather than a bare spec. the structural tell is the paired quantities on a shared scale plus the ranking word 'only', which frames 14 as the deficient baseline the 27 beats; the meaning lives in the contrast, not in either number alone. Without the second figure, '27' would just be a feature claim. The measured head-to-head is what the line is engineered to deliver.

Classification

Primary technique
PT-PRV-9497
Classification confidence
0.93
Source
Volkswagen, 1960s print ad (attributed)
1950s·Listerine

“Listerine antiseptic averaged four times better than the leading chlorophyll products it was tested against”

A mouthwash cites test results placing it above rival chlorophyll products.

Why it’s this techniqueThe claim rests on a numeric ratio measured against a rival: 'averaged four times better than the leading chlorophyll products.' A quantified multiple ('four times') attaches the product's advantage to a specific competing category, converting a vague quality boast into a countable margin the reader can weigh. The structural tell is the comparative frame itself: the number exists only in relation to a named benchmark ('the leading chlorophyll products it was tested against'), so the figure means nothing without the rival on the other side of the scale. 'Averaged' and 'tested against' borrow the register of measurement, but the persuasive load sits entirely on the head-to-head multiple, which is what the sentence is constructed to deliver.

Classification

Primary technique
PT-PRV-9497
Classification confidence
0.92
Source
Listerine, 1950s TV commercial (attributed)
before 1960·Schlitz Beer

“Only 3½ per cent of alcohol—just enough to aid digestion. Rhine wine is 12 per cent alcohol; champagne, 20 per cent; whiskey, 40 per cent.”

A beer ad lines up its low alcohol percentage against wine, champagne, and whiskey.

Why it’s this techniqueThe move sets beer's 'Only 3½ per cent of alcohol' against a climbing row of rival figures, 'Rhine wine is 12 per cent alcohol; champagne, 20 per cent; whiskey, 40 per cent', so the gap between the numbers carries the argument. The tell is the ladder of named beverages, each tagged with a hard percentage and ordered by ascending value, which ranks beer lowest without any explicit verdict. The reader converts four figures into a single relative position. Though the passage opens on a health boast, that claim rides on the quantified spread rather than adjectives, making the lined-up statistics the load-bearing element.

Classification

Primary technique
PT-PRV-9497
Classification confidence
0.89
Source
Schlitz Beer, pre_1960 print ad (attributed)
1980s·Apple

“a blindingly fast 32-bit MC68000 microprocessor. Far more powerful than the 16-bit 8088 found in current generation computers.”

A computer ad rates its processor's power against the chip in then-current machines.

Why it’s this techniqueThe copy sets one number against another to manufacture superiority: the 'blindingly fast 32-bit MC68000' is measured directly against 'the 16-bit 8088 found in current generation computers,' with '32' doubling '16' so the reader does the arithmetic and lands on a verdict. The structural tell is the explicit paired figures joined by 'Far more powerful than,' a side-by-side numeric ledger rather than a lone boast about the product. Naming the rival part and its inferior bit count, then anchoring the claim on that measurable gap, is what makes this a statistical comparison and not a plain superlative, which would assert power without a competing number to beat.

Classification

Primary technique
PT-PRV-9497
Classification confidence
0.90
Source
Apple, 1980s print ad (attributed)

See whether your own copy uses Comparison Statistics, and what else it is doing: analyze your copy.

Boundary Conditions

When it lands

  • The yardstick is one the reader already respects (the S&P 500, the industry average, the leading brand), so the margin needs no explanation.
  • The metric and its reference share the same units, so the gap reads as a clean ratio rather than a stretch.
  • The comparison names or clearly implies what it beats, giving the number a defeated opponent.
  • The margin is big enough to matter yet specific enough to sound measured, not boasted.

When it dilutes

  • The benchmark is vague or unnamed ('better than the competition'), so the reader cannot picture what was beaten.
  • The two sides are measured on different terms, and the comparison collapses under a moment's scrutiny.
  • The figure is really a standalone stat wearing a comparison's clothes, with no genuine reference point behind it.
  • So many rival numbers are stacked up that the one that matters gets lost in the pile.

Taxonomic Relationships

Provenance

Introduced in v1.0Last revised 2026-09-16MethodologyErrata