A personalized jewelry program lives or dies on trust. What we built for Moonglow was the trust engine underneath the storytelling, one that runs on real reviews, real questions, and a loyalty tier that recognizes the customer for coming back rather than for signing up.

Danielle Schermerhorn
Co-founder and CEO, Moonglow Jewelry
A personalized jewelry program lives or dies on trust. What we built for Moonglow was the trust engine underneath the storytelling, one that runs on real reviews, real questions, and a loyalty tier that recognizes the customer for coming back rather than for signing up.

Danielle Schermerhorn
Co-founder and CEO, Moonglow Jewelry
A woman types her mother's birth date into a personalization field on a Sunday night. The moon phase for that day is calculated by the site and rendered on the pendant she is about to order. Two weeks later she opens the box, reads the card, and writes a review. That review is the fourth piece of proof the next buyer will see when she lands on the product page. That is the loop the program was built to hold.
A woman types her mother's birth date into a personalization field on a Sunday night. The moon phase for that day is calculated by the site and rendered on the pendant she is about to order. Two weeks later she opens the box, reads the card, and writes a review. That review is the fourth piece of proof the next buyer will see when she lands on the product page. That is the loop the program was built to hold.

The situation, told plainly
Moonglow Jewelry is a personalized jewelry brand fifteen years into the work. The audience was there. The keepsake was strong enough that the second gift and the seasonal moment were already inside the pattern. What was missing was a reviews and loyalty program that recognized the pattern. Social proof was thin and inconsistent, loyalty did not exist as a structured motion, and the feedback customers were leaving never reached the design team.
The picture we drew for Moonglow was one connected engine, not two apps bolted to a Shopify theme. Reviews would earn on the product page, syndicate to Google, and route AI summarized feedback back to the founders and the design team. A loyalty tier structure would recognize purchases, reviews, and social engagement, and a post purchase request sequence would convert a meaningful share of orders into reviews without begging. Q and A would answer pre purchase hesitation at scale and turn service into public proof. NPS would push sentiment into Google Seller Ratings so the ratings a shopper sees in the ad match the ratings a shopper sees in the cart.
The situation, told plainly
Moonglow Jewelry is a personalized jewelry brand fifteen years into the work. The audience was there. The keepsake was strong enough that the second gift and the seasonal moment were already inside the pattern. What was missing was a reviews and loyalty program that recognized the pattern. Social proof was thin and inconsistent, loyalty did not exist as a structured motion, and the feedback customers were leaving never reached the design team.
The picture we drew for Moonglow was one connected engine, not two apps bolted to a Shopify theme. Reviews would earn on the product page, syndicate to Google, and route AI summarized feedback back to the founders and the design team. A loyalty tier structure would recognize purchases, reviews, and social engagement, and a post purchase request sequence would convert a meaningful share of orders into reviews without begging. Q and A would answer pre purchase hesitation at scale and turn service into public proof. NPS would push sentiment into Google Seller Ratings so the ratings a shopper sees in the ad match the ratings a shopper sees in the cart.




How the program was built
The build ran on Shopify with Stamped as the review, loyalty, and Q and A layer, and it is operated by Atelier Commerce as a fully managed service, not another tool the client has to run.
Review experiences were custom styled to the Moonglow brand rather than dropped in from a template. A post purchase email and SMS sequence was tuned to the gifting lifecycle, because a keepsake is often opened by someone who is not the buyer and the review moment lands on a different clock. Reviews earn loyalty points, so the second gift and the seasonal moment stay inside the same account and the loyalty tier keeps compounding. Verified reviews syndicate to Google Product Ratings and are summarized by AI back to the founders and the design team, so what customers say about a moon phase pendant reaches the person drawing the next one. Q and A answers are published on product pages, so the question a first time buyer asks is the answer the next buyer reads. NPS runs quietly under the whole thing and feeds Google Seller Ratings, so the star that shows up next to a paid listing is the same star the reviews on the product page earned.
How the program was built
The build ran on Shopify with Stamped as the review, loyalty, and Q and A layer, and it is operated by Atelier Commerce as a fully managed service, not another tool the client has to run.
Review experiences were custom styled to the Moonglow brand rather than dropped in from a template. A post purchase email and SMS sequence was tuned to the gifting lifecycle, because a keepsake is often opened by someone who is not the buyer and the review moment lands on a different clock. Reviews earn loyalty points, so the second gift and the seasonal moment stay inside the same account and the loyalty tier keeps compounding. Verified reviews syndicate to Google Product Ratings and are summarized by AI back to the founders and the design team, so what customers say about a moon phase pendant reaches the person drawing the next one. Q and A answers are published on product pages, so the question a first time buyer asks is the answer the next buyer reads. NPS runs quietly under the whole thing and feeds Google Seller Ratings, so the star that shows up next to a paid listing is the same star the reviews on the product page earned.
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.


