The Attention Landscape · established-with-contested-subclaim evidence

Reach vs. Frequency: Fifty Years of Disagreement, and What It Means for Budget Allocation

Last reviewed 2026-07-20. Written by Chandranshu Kumar, Founder, Raveneye Global. · 9 min read

For more than fifty years, media economists have disagreed about a deceptively simple question: is it better to show an ad to the same person more times, or to reach a new person for the first time? Herbert Krugman's 1972 model argued three exposures were enough and additional repetition mostly wasted budget. The Ehrenberg-Bass Institute's decades of purchase-response data went further, finding the response curve is convex, meaning the very first exposure to a new buyer typically returns the most, which underwrites a reach-first doctrine still dominant in media planning today. A credible 2024 practitioner counter-argument, built on newer attention-measurement data, suggests optimal frequency in fragmented modern media may actually run higher, around seven to nine exposures. This is a live, evidence-based disagreement, not settled dogma, and it resolves by measuring where the next dollar's marginal return is actually highest for a specific business, rather than applying either side's number as a universal rule.

The question that will not settle

Every media budget implicitly answers the same question: given a fixed number of dollars, is it better to reach more people once, or the same people more times? The answer has been argued, revised, and re-argued for over fifty years, and the debate is not academic trivia. It directly determines whether a marketing budget should be spent chasing new buyers or repeating exposure on buyers already reached.

1972: the three-exposure model

Herbert Krugman's "Why Three Exposures May Be Enough," published in the Journal of Advertising Research in 1972, proposed a cognitive model: the first exposure to an ad prompts "what is it?", the second prompts "what of it?", and the third produces a decision. Further exposures beyond the third, in Krugman's framing, mostly just repeat the effect of the third and add diminishing value.

This became the founding paper of effective-frequency theory and shaped decades of media-buying convention around minimum frequency thresholds. It was also, from the start, a theoretical model rather than a large-sample empirical study, and later research has both built on it and challenged its specific numbers.

The reach-first counter-evidence

The Ehrenberg-Bass Institute for Marketing Science accumulated over forty years of purchase-response data and found the response curve to advertising exposure is convex, not S-shaped: the largest incremental purchase stimulus comes from the zero-to-one exposure, meaning each additional exposure to an already-reached buyer tends to return less than reaching a new buyer for the first time. This finding underwrites the Institute's "maximize reach" doctrine, documented at length in Byron Sharp's How Brands Grow, and it has become the dominant orthodoxy in evidence-based media planning over the past decade.

Erwin Ephron's recency-planning framework operationalized a version of this into an applied media-buying discipline: reach a consumer close to their in-market purchase decision, rather than repeat exposure on someone already reached, because reach and continuity, not frequency-building, tend to be the more efficient buy for a reachable audience.

A genuine, live counter-argument

The reach-first doctrine is not unanimous. 2024 practitioner coverage, reported by Mi3, cited newer attention-technology data suggesting that in fragmented modern media environments, optimal frequency may actually run higher than the old three-exposure rule, in the range of seven to nine exposures, before returns meaningfully diminish. The argument is that today's media environment is noisier and more fragmented than the one Krugman or the early Ehrenberg-Bass data was measured in, which could plausibly raise the number of exposures needed to register.

This is a genuinely contested point in the field, not a settled question with a fringe dissenter. It deserves to be presented as a live disagreement between credible positions, not resolved in either direction by citation count alone.

Why the disagreement itself is the useful finding

Fifty years of research producing a live, unresolved disagreement is not a failure of the field, it is evidence that the correct answer is contingent rather than universal. The strength of the reach-first evidence, the theoretical logic of the three-exposure model, and the emerging attention-fragmentation argument together suggest that where the optimal reach-to-frequency balance actually sits depends on the category, the media environment, and the specific audience being reached, not on a single number that applies everywhere.

Treating any one figure, three exposures, or seven to nine, as a universal rule to apply to every business and every channel misreads the evidence. What the literature actually supports is a method: measure the marginal return of the next exposure for a specific audience on a specific surface, rather than assume the answer from a rule built on a different media environment decades ago.

What this means for budget allocation in practice

A defensible allocation decision asks where the next dollar's marginal attention-return is currently highest: on a surface where the business has not yet reached a meaningful share of its potential buyers, or on repeating exposure to an audience that has already been reached and is close to a purchase decision. Both can be correct answers, for different businesses, at different points in their growth, on different surfaces.

This is precisely why reach-versus-frequency is a question to answer empirically, per domain, rather than to resolve once with a fixed frequency cap applied uniformly across every campaign a business runs.

The evidence

Key findings, with their sources

  • The first exposure to an ad prompts "what is it?", the second prompts "what of it?", and the third produces a decision; further exposures mostly repeat the third exposure's effect and add diminishing value.

    established Herbert E. Krugman, "Why Three Exposures May Be Enough," Journal of Advertising Research, 12(6), 1972.

  • The response curve to advertising exposure is convex, not S-shaped; the largest incremental purchase stimulus comes from the zero-to-one exposure, meaning each added exposure to an already-reached buyer returns less than reaching a new buyer.

    established Ehrenberg-Bass Institute for Marketing Science, "Key Media Principles"; Byron Sharp, How Brands Grow, Oxford University Press, 2010.

  • Reaching one additional in-market consumer close to their purchase decision is worth more than repeating exposure on an already-reached consumer.

    established Erwin Ephron, "Ephron on Media" columns and archives; collected in Media Planning: From Recency to Engagement.

  • Newer attention-technology data suggests optimal frequency in fragmented modern media environments may run higher than classic models assumed, in the range of seven to nine exposures, a live and disputed practitioner counter-argument to the reach-first doctrine.

    contested Mi3, 2024 coverage of practitioner attention-technology research on optimal ad frequency.

Reference

Glossary

Effective frequency
The number of times a person needs to be exposed to an ad before it produces its intended effect; a concept originated by Krugman's 1972 three-exposure model and revised by later research.
Reach
The number or share of distinct people exposed to an ad at least once, as distinct from frequency, which counts repeated exposures to the same people.
Convex response curve
The Ehrenberg-Bass finding that advertising response is strongest at the first exposure and diminishes with each additional exposure to the same person, rather than building gradually as an S-shaped curve would predict.
Recency planning
Erwin Ephron's media-planning discipline of prioritizing reach to in-market buyers close to their purchase decision over repeated exposure to already-reached buyers.

Straight answers

Frequently asked questions

Is three exposures the right frequency cap to use?

Krugman's three-exposure model is the founding theory of effective frequency, but it is a 1972 cognitive model, not a number proven to apply to every modern channel and category. Later large-sample data (Ehrenberg-Bass) and a 2024 practitioner counter-argument (seven to nine exposures in fragmented media) both revise it in different directions, which is why it should not be treated as a fixed universal rule.

Does reach always beat frequency?

The dominant, large-sample evidence from the Ehrenberg-Bass Institute favors reach for most categories most of the time, because the first exposure to a new buyer tends to return the most. But a credible, evidence-based counter-argument exists for fragmented modern media environments, so "always" overstates a genuinely contested point.

Why does this matter for a small business budget?

Because a fixed frequency cap applied without evidence can mean either wasting budget on repeated exposure to an already-reached, unconverted audience, or under-exposing an audience that genuinely needed more touches to register in a noisy modern feed. Neither error is visible without measuring the specific audience and channel in question.

How is this resolved for a specific business?

By measuring, per surface and per audience, where the marginal return on the next exposure is actually highest, rather than importing a number from research conducted in a different media environment. This is the diagnostic step Search Surface Optimization runs before recommending where budget or content effort goes next.

Provenance

Sources

  1. Herbert E. Krugman, "Why Three Exposures May Be Enough," Journal of Advertising Research, 12(6), 1972 (established, founding theory, later contested/refined)
  2. Ehrenberg-Bass Institute for Marketing Science, "Key Media Principles," marketingscience.info (established)marketingscience.info
  3. Byron Sharp, How Brands Grow: What Marketers Don't Know, Oxford University Press, 2010 (established)
  4. Erwin Ephron, "Ephron on Media" columns and archives; collected in Media Planning: From Recency to Engagement (established)books.google.com
  5. Mi3, 2024 coverage of practitioner attention-technology research on optimal ad frequency (contested)

Every figure above is attributed to a real, dated source and tagged with its evidence tier. Where a claim could not be verified to a primary source, it is not stated as fact.

What this means for your business

Fifty years of research say the right reach-to-frequency balance is not a universal number, it is a property of your specific audience and surfaces. Search Surface Optimization reads where you actually stand across search, AI answers, reputation and technical foundation before recommending where the next dollar of effort should go, rather than applying a borrowed frequency rule.

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