One phone types 'best hair growth serum' at eleven at night. Another, on a desk in a dermatology office at nine the next morning, types 'peptide hair regrowth in office protocol.' The same brand should be the honest answer to both. The words that earn the first tap would repel the second reader. Good optimization does not flatten that difference. It respects it.
One phone types 'best hair growth serum' at eleven at night. Another, on a desk in a dermatology office at nine the next morning, types 'peptide hair regrowth in office protocol.' The same brand should be the honest answer to both. The words that earn the first tap would repel the second reader. Good optimization does not flatten that difference. It respects it.

Two storefronts, one brand, and no shared answer key
Kerafactor sells a peptide hair regrowth regimen on Shopify to consumers and on a professional storefront to dermatologists, medspas, and more than 1,800 clinician distributors. The dual storefront model creates problems that a single store program never has to solve. A meta title that converts a midnight consumer actively repels a physician. Duplicate metadata bled across page types. 404 errors accumulated in places no one was checking. Measurement lived in one Search Console for two very different audiences. The brand needed two SEO programs, run in parallel, that refused to copy answers between them.
The picture we drew was two search architectures under one discipline. Consumer pages written for a woman researching regrowth after a shower, review counts and clinician endorsement close to the fold, before and after evidence at month six. Professional pages written for a dermatologist evaluating what to stock, peptide chemistry named, in office protocol linked, distributor terms one click away. A reusable meta protocol, product title and keyword and brand name, applied consistently across products, collections, blog, and press pages. An llms.txt file so answer engines can quote the store rather than skip it. Two Search Consoles. Two measurement systems. One brand keeping the vocabulary honest for each reader.
Two storefronts, one brand, and no shared answer key
Kerafactor sells a peptide hair regrowth regimen on Shopify to consumers and on a professional storefront to dermatologists, medspas, and more than 1,800 clinician distributors. The dual storefront model creates problems that a single store program never has to solve. A meta title that converts a midnight consumer actively repels a physician. Duplicate metadata bled across page types. 404 errors accumulated in places no one was checking. Measurement lived in one Search Console for two very different audiences. The brand needed two SEO programs, run in parallel, that refused to copy answers between them.
The picture we drew was two search architectures under one discipline. Consumer pages written for a woman researching regrowth after a shower, review counts and clinician endorsement close to the fold, before and after evidence at month six. Professional pages written for a dermatologist evaluating what to stock, peptide chemistry named, in office protocol linked, distributor terms one click away. A reusable meta protocol, product title and keyword and brand name, applied consistently across products, collections, blog, and press pages. An llms.txt file so answer engines can quote the store rather than skip it. Two Search Consoles. Two measurement systems. One brand keeping the vocabulary honest for each reader.




Two search programs, in parallel, held to one discipline
The two programs were built and measured separately from the first sprint, so no answer written for a consumer would end up being read by a clinician, and no clinical page would be quietly softened for a shopper.
On the DTC store, duplicate meta descriptions and title tags were resolved across successive rounds, with page type differentiators introduced so a blog page and a collection page could not be confused in search. Blog and press landing pages were built to capture and convert the coverage that was already arriving. 404 errors were remediated. A Recharge subscription portal was launched for month one and month six replenishment. Reviews began moving from Stamped to Reviews.io and Influence.io. On the professional store, the vocabulary shifted to clinician and dermatologist audiences with peptide chemistry, in office protocol, and distributor terms surfaced honestly. B2B login redirects were tuned so a wholesale buyer never landed in a consumer flow. HubSpot lead nurture workflows were rebuilt behind the professional forms. Across both stores, Google Search Console, GA4, Littledata, and Microsoft Clarity were installed as parallel measurement systems, and the llms.txt file was published so an answer engine has a source of truth to quote. Two vocabularies. Two measurement surfaces. One brand held together by the same discipline.
Two search programs, in parallel, held to one discipline
The two programs were built and measured separately from the first sprint, so no answer written for a consumer would end up being read by a clinician, and no clinical page would be quietly softened for a shopper.
On the DTC store, duplicate meta descriptions and title tags were resolved across successive rounds, with page type differentiators introduced so a blog page and a collection page could not be confused in search. Blog and press landing pages were built to capture and convert the coverage that was already arriving. 404 errors were remediated. A Recharge subscription portal was launched for month one and month six replenishment. Reviews began moving from Stamped to Reviews.io and Influence.io. On the professional store, the vocabulary shifted to clinician and dermatologist audiences with peptide chemistry, in office protocol, and distributor terms surfaced honestly. B2B login redirects were tuned so a wholesale buyer never landed in a consumer flow. HubSpot lead nurture workflows were rebuilt behind the professional forms. Across both stores, Google Search Console, GA4, Littledata, and Microsoft Clarity were installed as parallel measurement systems, and the llms.txt file was published so an answer engine has a source of truth to quote. Two vocabularies. Two measurement surfaces. One brand held together by the same discipline.
Success Stories
Scarlett Gasque: The Open Was Never the Problem
A Klaviyo program with strong opens, clean deliverability, and every flow already live. One number told a quieter story. In ninety days the click to open rate climbed, engagement moved from 39.4 percent to 50.7 percent, revenue rose 78 percent, and sessions fell 32 percent. A better audience, not a bigger one.

Scarlett Gasque: The Open Was Never the Problem
A Klaviyo program with strong opens, clean deliverability, and every flow already live. One number told a quieter story. In ninety days the click to open rate climbed, engagement moved from 39.4 percent to 50.7 percent, revenue rose 78 percent, and sessions fell 32 percent. A better audience, not a bigger one.

PXG × Nosto: 104 Days of Compounding Efficiency
PXG activated a full Nosto personalization stack across every major page type of a mature Shopify storefront. In the 104 days that followed, conversion rate rose nearly 25% and revenue per session nearly 28%, on 20% less seasonal traffic than the window before it.

PXG × Nosto: 104 Days of Compounding Efficiency
PXG activated a full Nosto personalization stack across every major page type of a mature Shopify storefront. In the 104 days that followed, conversion rate rose nearly 25% and revenue per session nearly 28%, on 20% less seasonal traffic than the window before it.

Success Stories
Scarlett Gasque: The Open Was Never the Problem
A Klaviyo program with strong opens, clean deliverability, and every flow already live. One number told a quieter story. In ninety days the click to open rate climbed, engagement moved from 39.4 percent to 50.7 percent, revenue rose 78 percent, and sessions fell 32 percent. A better audience, not a bigger one.

PXG × Nosto: 104 Days of Compounding Efficiency
PXG activated a full Nosto personalization stack across every major page type of a mature Shopify storefront. In the 104 days that followed, conversion rate rose nearly 25% and revenue per session nearly 28%, on 20% less seasonal traffic than the window before it.



