Melleka Marketing

CAC Breakdown: May vs June

Vegamour - Customer Acquisition Cost by Platform
CAC Comparison
Late May
May 22 - 31 (10 days)
$271
Cost per Customer
-18%
Early June
Jun 1 - 11 (11 days)
$221
Cost per Customer
Total Spend
$607K
$400K May / $207K Jun
-48% daily avg
New Customers
2,413
1,477 May / 936 Jun
-42% daily avg
CAC Improvement
-$49
$271 to $221
18.2% more efficient
Avg Daily Customers
115
148/day May vs 85/day Jun
Lower volume, higher efficiency
Spend Mix by Platform
May 22 - 31 ($400,118 total, $40,012/day)
Google 34%
Meta 62%
TV 4%
Jun 1 - 11 ($207,368 total, $18,852/day)
Google 39%
Meta 56%
TV 5%
Google Ads Meta Ads TV
Shift in Mix

Google's share of total spend increased from 34% to 39%, while Meta's share decreased from 62% to 56%. This shift toward Google - the more stable, efficient platform - contributed to the 18% CAC improvement.

Cost Per Customer by Platform

May 22 - 31 (1,477 customers)

Google / customer $92.53
Meta / customer $167.94
TV / customer $10.43
Total CAC $270.90

Jun 1 - 11 (936 customers)

Google / customer $86.74
Meta / customer $124.90
TV / customer $9.91
Total CAC $221.44
Meta / cust
-25.6%
$167.94 to $124.90
Google / cust
-6.3%
$92.53 to $86.74
TV / cust
-5.0%
$10.43 to $9.91
Meta efficiency drove the CAC improvement

Meta's cost per customer dropped $43.04 (-25.6%), accounting for 87% of the total $49.46 CAC reduction. Google improved modestly (-$5.79), while TV held steady (-$0.52). The reduction in Meta daily spend from $24,805 to $10,628 eliminated diminishing returns at higher spend levels.

Platform Spend by Day
Date Google Meta TV Total New Cust CAC
May 22 $9,388 $33,486 $2,388 $45,263 141 $321
May 23 $16,858 $28,543 $1,515 $46,916 126 $372
May 24 $19,546 $36,298 $1,547 $57,391 172 $334
May 25 $24,300 $38,088 $1,557 $63,945 192 $333
May 26 $14,988 $29,676 $1,534 $46,198 157 $294
May 27 $11,099 $20,981 $1,544 $33,623 125 $269
May 28 $12,629 $16,813 $1,479 $30,921 128 $242
May 29 $9,568 $14,972 $1,519 $26,059 109 $239
May 30 $8,906 $12,486 $1,544 $22,936 144 $159
May 31 $9,389 $16,704 $1,569 $27,663 183 $151
May Total $136,672 $248,047 $15,399 $400,118 1,477 $271
Jun 1 $8,372 $13,877 $1,023 $23,272 117 $199
Jun 2 $11,090 $12,738 $1,004 $24,832 86 $289
Jun 3 $7,581 $13,951 $946 $22,478 81 $278
Jun 4 $5,157 $11,489 $939 $17,585 72 $244
Jun 5 $6,727 $11,930 $835 $19,491 78 $250
Jun 6 $6,198 $11,630 $826 $18,654 77 $242
Jun 7 $8,834 $13,700 $786 $23,320 85 $274
Jun 8 $7,508 $6,693 $757 $14,958 100 $150
Jun 9 $7,075 $7,550 $765 $15,391 74 $208
Jun 10 $6,929 $6,767 $600 $14,297 81 $177
Jun 11 $5,714 $6,581 $794 $13,089 85 $154
Jun Total $81,187 $116,908 $9,273 $207,368 936 $221
CAC grades: A: Under $150 B: $150-$199 C: $200-$249 D: $250-$299 F: $300+
Key Findings
Spend dropped 53%, customers only dropped 42%

Daily average spend fell from $40,012 to $18,852 (-53%), but daily new customers fell from 148 to 85 (-42%). The gap between those two numbers is the efficiency gain - we got more customers per dollar spent in June.

Meta drove 87% of the CAC improvement

Meta's cost per customer fell $43.04 (from $167.94 to $124.90), accounting for 87% of the total $49.46 CAC reduction. Google contributed $5.79 of improvement, TV contributed $0.52. The improvement came primarily from pulling Meta daily spend from $24,805 down to $10,628.

Best CAC days cluster around $14K-$15K total spend

The four best CAC days (May 30 $159, May 31 $151, Jun 8 $150, Jun 11 $154) all had total daily spend between $13,089 and $27,663 with Meta under $17K. The four worst days (May 23 $372, May 24 $334, May 25 $333, May 22 $321) all had Meta above $28K.

Data Notes

New customer counts sourced from Vegamour's internal reporting (CSV export). Google Ads spend verified against Google Ads API (account 7567846915). Meta Ads spend verified against Meta Marketing API (account act_542163415992887). TV spend from Vegamour media buy report. Date range limited to May 22 - Jun 11 based on available new customer data. Full May 1-21 new customer data was not available for this analysis - only the period with overlapping data across all three sources is included.