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How Bullseye Sellers Dropped Joanna Vargas’ nCAC by ~40%

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Premium skincare brand Joanna Vargas used a modern performance stack—Meta’s Andromeda creative protocol, Wicked’s Advanced Signal, and 5 Forces AI—to cut new customer acquisition cost from roughly $116 to $69 in November, while getting clearer, trusted attribution across channels.

 

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At a glance

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Order-Level Proof

~40% nCAC Drop

New customer acquisition cost (nCAC) in one month

CRM-Integrated

Premium Brand

Skincare DTC brand with celebrity founder

Privacy-First & iOS-Proof

Signal Architecture

Creative as targeting + enriched conversion events

Multi-Currency Aware

5 Forces AI

Powers weekly Scale/Chill/Kill calls for the media team

The Brand & The Agency

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Joanna Vargas
 
Brand: Joanna Vargas
Joanna Vargas products
A premium skincare brand built by celebrity esthetician Joanna Vargas, known for spa treatments and red-carpet facials for A-list clients—and now a fast-growing DTC product line.
Bullseye Sellers
 
Agency: Bullseye Sellers
Bullseye Sellers team
A performance marketing group with multiple divisions (TikTok, Amazon FBA, off-Amazon eCom). Thorsten sits on the e-commerce side, managing Shopify brands and growth across:

The Challenge:
Great-looking Platform ROAS, Stalled New-Customer Growth

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Before Wicked Reports, the team was stuck in the usual post-iOS mess:

Platform bias everywhere

 

Platform bias everywhere

 
  • Meta, Shopify, Google all claiming credit

  • Lots of view-through and retargeting inflation

Messy, manual reporting

 

Messy, manual reporting

 
  • Multiple tabs: Ads Manager, Shopify, GA, spreadsheets

  • Numbers rarely matched, no granular campaign-level truth

Decisions made on incomplete KPIs

 

Decisions made on incomplete KPIs

 
  • Some campaigns looked “good” on CTR or a single KPI

  • But high nCAC, low revenue, or weak profitability when looked at holistically

Risk of “paying for the same customer twice”

 

Risk of “paying for the same customer twice”

 
  • Retargeting and Advantage+ setups quietly pulling budget away from true TOF

The team needed:

 

A single source of truth for all channels

A way to see new vs repeat customers clearly

A stack that could train Meta to prioritize new customers, not just easy retargeting wins

Why They Chose Wicked Reports

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Bullseye Sellers rolled out Wicked Reports across their key brands—especially Joanna Vargas—because they needed scientific, click-based, omnichannel attribution that matched how serious performance marketers actually think.

WHAT STOOD OUT:

 
FunnelVision for daily decisions

First-party, click-based attribution

Real order IDs, real click paths, real customer IDs—not blended view-through guesses.

Model-aware analysis (no black boxes)

New vs Repeat baked in

Clear visibility into new customers vs repeat customers by channel, campaign, ad set, and creative.

Model-aware analysis (no black boxes)

FunnelVision & 5 Forces AI

  • FunnelVision as Thorsten’s “daily playground” for analysis

  • 5 Forces AI to apply intentions, zones, and consistent decision logic so the team can scale/chill/kill without guesswork.

 
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The Breakthrough:
From Audience Targeting to Signal Architecture

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Instead of another “we tested a new audience and ROAS went up” story, Thorsten framed this as a shift in architecture:

 
Meta
The “Andromeda” Creative Protocol
Creative as Targeting

Most advertisers test image vs video. Bullseye used a Persuasion Matrix approach, building large, creative-heavy ad sets (20+ creatives) where each focused on a specific pillar:

  • Emotional drivers

  • Logical reasons

  • Social proof & product benefits

  • Founder story & authority

“We don’t chase audiences. We let the creative filter them.”
Signal
Signal Enrichment
Teaching Meta What a Valuable Customer Looks Like

Meta’s pixel alone couldn’t distinguish cheap clicks from valuable customers. Bullseye “enriched” the data using Wicked's Advanced Signal.

  • Sent new customer-specific purchase events into Meta

  • Helped curb retargeting bias

  • Rewarded Meta only when it found new buyers

“Andromeda gets all the creative signals, plus this enhanced signaling from Wicked—and it’s just really worked. For two to three months in a row, we’ve consistently dropped all the major KPIs we’re focusing on.”
 
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Implementation:
The New-Customer Growth Engine

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Step 1
Connect and Clean the Data
  • Connected Shopify, Meta, Google, Klaviyo into Wicked

  • Verified attribution health and variance (<2% in comparisons)

  • Set up new-customer conversion events for Advanced Signal

Step 2
Deploy the Persuasion Matrix (Andromeda)
  • Built creative-heavy ad sets (~20+ ads per set)

  • Each creative mapped to a specific persuasion pillar

  • Let Meta’s Andromeda model distribute spend dynamically across the matrix

Step 3
Turn on Advanced Signal + 5 Forces AI
  • Advanced Signal began sending high-fidelity new-customer events

  • 5 Forces AI ingested performance data, attribution, intentions, and zones each night

  • Media buyers started using 5 Forces AI as a daily/weekly playbook

Step 4
Weekly Optimization Rhythm
  • Review FunnelVision + 5 Forces AI each week

  • Tag campaigns: Scale / Chill / Kill

  • Reallocate budget to the best new-customer drivers

  • Retire “feel-good” campaigns that looked good on a single KPI but lost money in reality

 
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Results:
nCAC Down ~40% in a Single Month

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When they zoomed in on November, the impact was obvious:

Profitable Immediately
Profitable Immediately
Moved from needing multiple purchases to break even, to being profitable on the very first purchase.
Consistent Growth
Consistent Growth
2–3 months in a row seeing major KPI improvements using the same continuous system.
New customer acquisition cost (nCAC) chart

Why It Worked

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FunnelVision for daily decisions

Shared Truth, Not Siloed Dashboards

Wicked gave them a unified, trustworthy view of performance across channels, within 2% of reconciled numbers.

Model-aware analysis (no black boxes)

New-Customer Signal, Not Just Any Conversion

Advanced Signal stopped rewarding Meta for easy retargeting. The algorithm learned to chase new buyers.

Model-aware analysis (no black boxes)

AI With Guardrails

5 Forces AI didn’t just spit out random suggestions; it followed a methodology built around:

  • Intentions

  • Payback windows

  • Zones

  • Cohorts and attribution models

Cohorts & LTV for strategy, not just reporting

Creative as Targeting

The Persuasion Matrix meant they weren’t obsessed with new audiences—they let Andromeda + Wicked figure out which hooks actually convert.

Team & client operating rhythm

Delegatable, Repeatable Process

If the strategist is busy, the media buyers always know what to do. It eliminates hours of manual analysis and bogus spreadsheets.