A woman scrolls a Meta feed on a Wednesday night and stops on a fifteen second video of a pendant catching the light against a black background. The birth date on the card is her daughter's. The moon phase for that day is calculated on the fly. She taps through to a product page, personalizes the piece, and checks out. Three months ago, that same ad in that same feed had been served to her four times already, because the account had learned to speak only to people who already knew the brand. That is the shape of a mature account at its ceiling.
A woman scrolls a Meta feed on a Wednesday night and stops on a fifteen second video of a pendant catching the light against a black background. The birth date on the card is her daughter's. The moon phase for that day is calculated on the fly. She taps through to a product page, personalizes the piece, and checks out. Three months ago, that same ad in that same feed had been served to her four times already, because the account had learned to speak only to people who already knew the brand. That is the shape of a mature account at its ceiling.

The situation, told plainly
Moonglow arrived with meaningful scale already in place and a growth curve that had flattened. On Google, Performance Max was drawing a large share of conversions from branded demand, which is finite and cannot carry indefinite scale on its own. On Meta, spend was climbing while returns were not, because the account had learned to serve one hero SKU with average unit economics to warm audiences it had already converted. Paid media was active. Structure was the constraint.
The picture was two channels rebuilt around cleaner acquisition rather than more spend. On Google, brand and acquisition would be separated so incremental conversions came from new to brand audiences and were nurtured through Meta remarketing and email. Performance Max saturation would be addressed with a second campaign that could hold its own budget window. Category based asset groups would let the strongest product lines earn their own attention. Winning structures would replicate into Canada. On Meta, dynamic remarketing would carry the bottom of the funnel from the same product feed the Shopping catalog ran on. Cold prospecting would replace the recycled warm audience with a structured creative test grid. The hero SKU would step back and the growth system would step forward.
The situation, told plainly
Moonglow arrived with meaningful scale already in place and a growth curve that had flattened. On Google, Performance Max was drawing a large share of conversions from branded demand, which is finite and cannot carry indefinite scale on its own. On Meta, spend was climbing while returns were not, because the account had learned to serve one hero SKU with average unit economics to warm audiences it had already converted. Paid media was active. Structure was the constraint.
The picture was two channels rebuilt around cleaner acquisition rather than more spend. On Google, brand and acquisition would be separated so incremental conversions came from new to brand audiences and were nurtured through Meta remarketing and email. Performance Max saturation would be addressed with a second campaign that could hold its own budget window. Category based asset groups would let the strongest product lines earn their own attention. Winning structures would replicate into Canada. On Meta, dynamic remarketing would carry the bottom of the funnel from the same product feed the Shopping catalog ran on. Cold prospecting would replace the recycled warm audience with a structured creative test grid. The hero SKU would step back and the growth system would step forward.




How the channels were rebuilt
Google and Meta were rebuilt on Shopify with Channable carrying the feed, Littledata carrying tracking, and Triplewhale carrying attribution across both platforms.
On Google Ads, underperformers were paused, keyword coverage was refined, and negative keyword controls were expanded, which redirected budget into revenue tied segments rather than into overlap. A dedicated Non Brand Performance Max campaign was launched with branded traffic fully excluded, so incremental conversions carried the acquisition weight and were nurtured through Meta remarketing and email downstream. A second Performance Max campaign extended scale past the original ceiling at a lower cost per conversion. Category based asset groups concentrated intent inside product lines rather than diluting it across the catalog. The winning structure was replicated into Canada, and the Canadian market went from a plan to a live channel. On Meta, audience and message research came first, then a structured creative test grid, then audience separation between cold and warm, then dynamic remarketing tied to the same product feed, then expansion into new creative variations, adjacent SKUs, and new placements. Google conversions grew roughly twofold, Meta purchases more than doubled, ROAS improved by about a third, and the standout product carried a conversion rate roughly twice the account average.
How the channels were rebuilt
Google and Meta were rebuilt on Shopify with Channable carrying the feed, Littledata carrying tracking, and Triplewhale carrying attribution across both platforms.
On Google Ads, underperformers were paused, keyword coverage was refined, and negative keyword controls were expanded, which redirected budget into revenue tied segments rather than into overlap. A dedicated Non Brand Performance Max campaign was launched with branded traffic fully excluded, so incremental conversions carried the acquisition weight and were nurtured through Meta remarketing and email downstream. A second Performance Max campaign extended scale past the original ceiling at a lower cost per conversion. Category based asset groups concentrated intent inside product lines rather than diluting it across the catalog. The winning structure was replicated into Canada, and the Canadian market went from a plan to a live channel. On Meta, audience and message research came first, then a structured creative test grid, then audience separation between cold and warm, then dynamic remarketing tied to the same product feed, then expansion into new creative variations, adjacent SKUs, and new placements. Google conversions grew roughly twofold, Meta purchases more than doubled, ROAS improved by about a third, and the standout product carried a conversion rate roughly twice the account average.
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.



