How Brands Grow Part 2b

Authors

Jenni Romaniuk

Byron Sharp

 

Romaniuk, Jenni, & Sharp, Byron. (2023).
How Brands Grow: Part 2 (Revised Edition).
Oxford University Press.

1 How Brands Grow, Part 2 – Revised Edition (Romaniuk & Sharp 2023)

The Revised Edition builds upon the 2015/2019 Part 2 volume.
Its purpose remains to extend the Ehrenberg-Bass empirical laws of growth into new categories and contexts, but it adds updated data, global cases, and refined interpretations of “mental” and “physical” availability.

2 Overview of the Revision

Focus area What’s new or revised Continuity with earlier edition
Scope of evidence Broader database across 90 + countries, 100 + categories, and thousands of brands, including B2B, luxury, and digital services. Retains cross-category empirical approach.
Mental & physical availability Expanded treatment; new chapters integrate distinctive assets, category entry points (CEPs), and brand mental networks. Builds on original Part 2 discussion of availability; now grounded in Romaniuk’s Building Distinctive Brand Assets framework.
Services & durables New empirical work showing the same “laws” hold in high-involvement and infrequent-purchase categories. Earlier edition discussed these qualitatively.
Private labels & retailer brands Separate analysis of supermarket and online retailers as brands; duplication and double jeopardy hold. Private-label data previously limited.
Digital & omnichannel First systematic inclusion of online media and e-commerce data; demonstrates that digital channels obey the same reach/penetration logic. Not covered in 2015/2019.
Luxury & premium pricing Empirical correction: luxury brands still rely on scale and mental availability; loyalty remains low and repertoire buying high. Conceptually anticipated earlier, now supported by data.
Emerging markets Expanded datasets from Asia, Africa, and Latin America; confirms universality of NBD–Dirichlet patterns. Earlier edition relied mostly on OECD markets.
Brand health tracking Adds “mental availability metrics” (e.g., % linked to category entry points) as leading indicators of future share. Earlier edition centred on market-share outcomes.
Terminology and pedagogy Simplified graphics, clearer “laws” language, and teaching examples. Continuity of empirical tone and reader style.

2.1 Updated Structure (approximate correspondence)

Revised Edition (2023) Earlier Edition (2015/2019) Main evolution
Ch 1–2 The scientific laws of growth Introductory chapters Adds “What makes a law” and updated replication evidence.
Ch 3 How buyers really buy Buying behaviour & loyalty patterns Adds repertoire graphics and buyer-mix illustrations.
Ch 4–5 Double jeopardy and duplication of purchase Same Uses expanded 2020s database; now includes private labels.
Ch 6 Penetration as the driver of growth “Penetration, not loyalty” Same message with fresher longitudinal data.
Ch 7 Physical availability revisited Availability in services & durables Broader channels (digital, delivery, distribution).
Ch 8–9 Mental availability and distinctive assets Mental availability Merges Romaniuk’s CEP & asset research into main text.
Ch 10 Brand extensions and portfolios Line extensions Refines overlap and extension equations (Dirichlet logic).
Ch 11 Services, B2B, and luxury New section Applies laws beyond FMCG.
Ch 12 Practical implications for marketers Managerial implications Condensed, data-driven prescriptions.

3 Core Empirical Laws (unchanged but reinforced)

Law Essence Updated evidence
1. Double Jeopardy Small brands suffer twice—low penetration and slightly less loyalty. Holds across B2B, luxury, and online contexts.
2. Duplication of Purchase Brands share customers in proportion to market share. Verified with > 10,000 duplication matrices.
3. Natural monopoly of larger brands Heavy category buyers buy big brands more often. Universally replicated.
4. Penetration drives loyalty Loyalty follows penetration mechanically. Same law; illustrated for infrequent categories.
5. Mental availability is key Memory structures determine probability of choice. Now operationalised via CEP metrics.
6. Physical availability multiplies reach Distribution breadth × ease of purchase. Extended to e-commerce & last-mile access.
7. Distinctive brand assets build mental reach Colour, shape, sound cues increase recognition. Integrated from Romaniuk (2018).
8. Consistency over creativity Repetition and availability outperform differentiation. Re-emphasised with digital ad data.

3.1 Quantitative Underpinnings (unchanged)

The Revised Edition still bases all empirical regularities on the
Negative Binomial–Dirichlet model:

\[ P(X_i = x_i) = \int P(x_i \mid \mu, k, \alpha_i)\,f(\mu, k)\,d\mu \]

with the same consequences:

  • \(D_{ij} \approx s_j\) (duplication),
  • \(p_i \propto s_i\) (penetration–share relationship),
  • \(\text{Overlap}_{ij} \approx s_i + s_j - (1-s_j)^{s_i/s_j}\) (extension overlap).

4 Key Additions in Managerial Guidance

Theme Revised insight
Mental availability metrics Introduces Category Entry Points (CEPs): situations, needs, or occasions linked to the brand. Brand health ≈ % of CEPs mentally associated.
Distinctive assets Empirically scored on fame × uniqueness grid; tracked like distribution.
Service brands “Availability” translated into ease-of-contact, hours, online access, response time.
Luxury Even “exclusive” brands obey the same duplication logic—true differentiation is minimal.
Digital marketing Reach > engagement; law of buyer heterogeneity still dominates.
TipManagerial Implications from the Revised Edition
  • Growth = more buyers: Loyalty follows penetration; reach remains paramount.
  • Mental + Physical availability are twin levers: build memory and access.
  • Distinctive assets act as distribution cues in memory—track and refresh them.
  • Brand portfolios share customers; overlap is expected, not cannibalisation.
  • The empirical laws are universal: same patterns hold across price tiers, categories, and nations.

5 The Category Entry Point (CEP) Framework

The Revised Edition translates “mental availability” from a theoretical construct into a measurable, trackable system based on Category Entry Points (CEPs) and Distinctive Brand Assets (DBAs).

5.1 Conceptual Flow

Category Entry Points → Distinctive Assets → Mental Availability → Brand Choice

  1. Category Entry Points (CEPs)
    Situations, occasions, needs, or emotions that trigger category buying.
    Examples:

    • “I’m hungry at lunchtime.”
    • “I want to celebrate.”
    • “I need a quick caffeine boost.”

  2. Distinctive Brand Assets (DBAs)
    Perceptual cues—logo, colour, tagline, jingle, packaging, shape—that connect the brand to memory.
    DBAs act as retrieval cues linking the category entry point to the brand.

  3. Mental Availability
    The probability that a buyer thinks of and can find the brand when a relevant CEP arises.
    It depends on how many CEPs the brand is linked to, and how strong those links are.

  4. Brand Choice Probability
    At the moment of need, the brand with the highest combined mental + physical availability is most likely to be chosen.

5.1.1 CEP Measurement Table

CEP example % buyers who associate brand Distinctive assets that cue it Relative strength
“Morning energy” 45 % Logo colour, tagline “Kickstart your day” 🔵 High
“With friends / socialising” 35 % Music cue, packaging colour 🟢 Medium
“After exercise” 20 % Bottle shape, sports sponsorship 🟡 Low
“Relaxation / reward” 15 % TV ad visuals, jingle 🟡 Low

Interpretation

  • The more CEPs a brand covers, and the stronger each memory link, the higher its mental availability.
  • Brands grow by adding CEPs (more contexts) and strengthening links (better cues), not by deepening loyalty in a narrow set.

5.1.2 Distinctive Asset Tracking

Each asset is scored on two axes (Romaniuk, 2018):

Asset Fame (% recognition) Uniqueness (% attribution) Quadrant Recommended action
Logo colour 90 % 80 % 🔵 Strong asset Maintain and protect
Jingle 70 % 40 % 🟢 Emerging Reinforce with consistent exposure
Slogan 85 % 20 % 🟡 Over-shared Refresh or simplify
Mascot 40 % 35 % 🟣 Weak Re-establish or retire

These measures allow brands to track mental availability just as they track physical distribution—each asset becomes a memory distribution point.

5.1.3 Integrated Model Summary

Layer Key measure Managerial implication
Category Entry Points % of buying occasions linked to the brand Expand repertoire of triggers
Distinctive Assets Fame × Uniqueness index Refresh and protect distinctive cues
Mental Availability Average retrieval strength across CEPs Wider mental reach → more buyers
Physical Availability % of buying occasions where brand can be bought Ensure ease of purchase
Brand Choice Probability Function of mental × physical availability Drives penetration and share

5.1.4 Key Takeaways

TipManagerial Insight
  • Build mental reach by linking your brand to many category entry points.
  • Strengthen distinctive assets to make those links easy to retrieve.
  • Track mental availability as a distribution metric in memory, not a soft perception score.
  • Brands grow not through “deep loyalty” but through mental and physical accessibility across more buying situations.