Findings

Our read of the market, and what we would do about it.

Eight publishable findings from 4,050 observations, presented as a commercial argument rather than an audit list. Evidence first, then our interpretation, then why it matters, then the question we would put in the room.

The decision advantage

In this category the durable advantage is no longer better execution — it is being the brand a customer, and now a machine, can find and justify.

Conversion Experience averages 93/100 across the cohort: the basics have become hygiene. AI Discovery averages 40/100 with 30 of 75 companies invisible in the fixed prompt set, and Retention & CRM averages 71/100 with a 70-point spread. The separating forces are discovery and the value system around the purchase, not the product page.

Chapter 01AI01–AI08 · 75 companies

AI recommendation visibility is dramatically more concentrated than conventional ecommerce capability.

Our interpretation: Same 12 prompts and scoring thresholds used for every company.
Why it matters commercially: Commercial relevance graded high, evidence strength strong, originality high. Read as a view on distribution + platform heatmap across 75 companies.
The question for the room: If this holds for your business, what would you stop doing to fund it?
What would change our view: Repeat the fixed prompt set quarterly and track movement, not just the absolute rank.

Chapter 02CV02–CV09 · 75 companies

Public conversion fundamentals have largely converged; decision-support mechanics create more separation.

Our interpretation
Why it matters commercially: Commercial relevance graded high, evidence strength strong, originality medium. Read as a view on feature adoption matrix across 75 companies.
The question for the room: If this holds for your business, what would you stop doing to fund it?
What would change our view: Segment samples, sizing, visualisation and assisted-service adoption by category.

Chapter 03RT01–RT07 · 75 companies

Retention and relationship infrastructure is a larger opportunity than another marginal CRO gain for many established retailers.

Our interpretation: RT02/04/05 are readiness proxies, not claims about unobserved messages.
Why it matters commercially: Commercial relevance graded high, evidence strength moderate, originality high. Read as a view on peer-group bars across 75 companies.
The question for the room: If this holds for your business, what would you stop doing to fund it?
What would change our view: Add controlled welcome/abandonment/post-purchase testing in a future lifecycle edition.

Chapter 04CP01 / CP09 / AI01 / AI06 · Specialist / DTC

Independent specialists frequently combine strong trust and proposition with weak AI share-of-recommendation.

Our interpretation
Why it matters commercially: Commercial relevance graded high, evidence strength strong, originality high. Read as a view on scatter plot across Specialist / DTC.
The question for the room: If this holds for your business, what would you stop doing to fund it?
What would change our view: Identify the content/source patterns shared by specialists that do break into AI recommendations.

Chapter 05CV06 / CV09 · Furniture, blinds, fabrics, curtains

Samples, swatches and measuring support are a recurring growth mechanic in uncertainty-heavy categories.

Our interpretation
Why it matters commercially: Commercial relevance graded high, evidence strength strong, originality medium. Read as a view on category matrix across Furniture, blinds, fabrics, curtains.
The question for the room: If this holds for your business, what would you stop doing to fund it?
What would change our view: Compare sample proposition, limits, speed and follow-up capture mechanics.

Chapter 06CP04 / CP05 · Furniture, blinds, sleep

Guarantees and trials are being used as acquisition propositions, not merely policy footnotes.

Our interpretation
Why it matters commercially: Commercial relevance graded high, evidence strength strong, originality medium. Read as a view on examples + score bars across Furniture, blinds, sleep.
The question for the room: If this holds for your business, what would you stop doing to fund it?
What would change our view: Quantify guarantee/trial prominence and map against review sentiment and conversion proxies.

Chapter 07OD09 / GI08 / OD01 / AI01 · Omnichannel brands

Physical presence strengthens local discovery but does not remove the need for digital category authority.

Our interpretation
Why it matters commercially: Commercial relevance graded medium, evidence strength strong, originality medium. Read as a view on peer comparison across Omnichannel brands.
The question for the room: If this holds for your business, what would you stop doing to fund it?
What would change our view: Separate showroom-service brands from store-led generalists in the next peer analysis.

Chapter 08CP07 / CP02 · 75 companies

Promotion dependency remains one of the most visible proposition risks in pureplay and DTC models.

Our interpretation: Current CP07 is an outside-in snapshot and should be repeated over time.
Why it matters commercially: Commercial relevance graded high, evidence strength moderate, originality medium. Read as a view on promotion tracker across 75 companies.
The question for the room: If this holds for your business, what would you stop doing to fund it?
What would change our view: Track promotion frequency longitudinally rather than relying on a single-day public snapshot.

The evidence beneath the argument

The market-level readings the findings are built from, kept accessible rather than summarised away.

AI visibility is now the biggest separating force

AI Discovery averages 40/100 across the 75-brand cohort and spans the full 0–100 range. The fixed prompt set makes clear that strong ecommerce execution does not automatically translate into recommendation visibility.

Conversion basics are becoming hygiene

Conversion Experience averages 93/100 on the uniformly assessable public criteria. Product detail, filtering, delivery information and reassurance are increasingly minimum expectations rather than durable differentiation.

Retention is the second-biggest strategic gap

Retention & CRM averages 71/100 and has materially more dispersion than conversion or commercial proposition. The opportunity is not simply email capture; it is creating reasons for customers to stay identifiable and return.

Specialists often have better reasons to buy than systems to scale them

Many independent specialists score strongly on expertise, samples, craftsmanship, guarantees or service, but lose ground on AI discovery, account utility, loyalty and broader growth infrastructure.

High-consideration categories reward risk reversal

Sofas, blinds, mattresses, fabrics and curtains repeatedly use swatches, measuring support, trials, guarantees and white-glove services to reduce uncertainty. These mechanisms are among the clearest commercially meaningful differences in the dataset.

Omnichannel remains an advantage, not a guarantee

Stores and assisted services improve local discovery and confidence, but they do not guarantee AI visibility or a strong retention system. The best performers join physical reassurance to digital discovery and first-party data.

Your own position

See where your brand would sit on the same 54 criteria.

We will run the identical outside-in rubric against your site and send the scored pillar profile, your peer comparison and the two or three constraints we would investigate first. No pitch attached — you can read it and do nothing.