Case Study Scaling a DTC eCommerce Brand from $10K to $100K+ Monthly Ad Spend with Consistent ROAS

Case Study: Scaling a DTC eCommerce Brand from $10K to $100K+ Monthly Ad Spend with Consistent ROAS

Industry: Direct-to-Consumer (DTC) eCommerce

Product Type: Mid-priced lifestyle product (average order value ~$65)
Primary Channels: Facebook/Instagram Ads, Google Search & Shopping
Ad Spend Start Point: $10,000/month
Final Ad Spend: $110,000/month
Target ROAS: 2.5x+
Timeframe: 6 months


Objectives

  • Rapidly scale paid media while maintaining profitable Return on Ad Spend (ROAS).
  • Build a full-funnel advertising strategy for cold, warm, and hot audiences.
  • Optimize creatives and landing pages based on performance data.

Challenges

  • CPMs were rising in Q4 (competitive ad season).
  • Creative fatigue and ad blindness started at ~$20K/month spend.
  • Attribution inconsistencies between Meta Ads and Google Analytics post-iOS 14.5.

Strategy Overview

Phase 1: Establishing Baseline (Month 1–2)

  • Spent ~$10K–$15K/month on Meta Ads focused on retargeting + lookalikes.
  • Built audiences using video views and add-to-cart events.
  • Launched initial Google Shopping campaigns for branded + non-branded terms.

Result: ROAS ~3.1x, first-party email list grew 22%, and customer acquisition cost (CAC) dropped 18%.


Phase 2: Creative Testing & Funnel Diversification (Month 3–4)

  • Increased budget to $40K–$55K/month.
  • Deployed 5–8 new creatives every 2 weeks (UGC, founder story, product demos).
  • Created TOF (Top of Funnel) + MOF (Middle of Funnel) split campaigns.
  • Launched Performance Max on Google, synced with Shopify feed.

Result: ROAS stabilized at ~2.6x despite 4x increase in spend. CTR increased 22% with UGC + testimonial ads. Email revenue contributed 18% of monthly sales via Klaviyo flows.


Phase 3: Scaling & Optimization (Month 5–6)

  • Scaled Meta spend to $85K/month, Google to ~$25K/month.
  • Introduced geo-specific campaigns in top 5 states with highest conversion rate.
  • A/B tested landing pages and bundles—one new bundle increased AOV by 14%.
  • Segmented email flows by behavior (e.g., “viewed but not purchased”).

Result: Hit $110K/month ad spend with 2.52x blended ROAS. Email list crossed 100K subscribers. Repeat purchase rate improved by 19%.


Key Tactics That Drove Results

  • Creative Volume: Fresh creatives biweekly kept CTR high and CPMs low.
  • First-Party Data: Leveraged email and SMS to offset rising CAC.
  • Bundling Offers: Improved margins and AOV, allowing more aggressive bidding.
  • Attribution Modeling: Used Triple Whale and post-purchase surveys to cross-check Meta underreporting.
  • Geo Optimization: Focused spend on zip codes with highest LTV.

Final Metrics Summary

MetricMonth 1Month 6
Ad Spend$10,000$110,000
ROAS3.1x2.52x
AOV$58$66
CAC$24$26
Conversion Rate2.8%3.3%
Email Revenue %8%19%

Lessons Learned

  1. Scaling is more about systems (creative pipeline, data, email) than just budget.
  2. Platform diversification helped reduce dependency on Meta.
  3. Creative testing is not optional—it’s the fuel for sustainable scaling.
  4. ROAS may dip slightly while scaling, but marginal profit can still increase due to volume.