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E-commerce Email Marketing: Filtering for Buyers, Not Curiosity

Industry: E-commerce Email Marketing ICP: DTC founders & Heads of Growth (US)
$90K
TOTAL PIPELINE GENERATED
6,144
TOTAL LEADS CONTACTED
53
POSITIVE REPLIES

The mistake most agencies in this space make

Most agencies selling into e-commerce outbound the same way they market to their own prospects: generic revenue claims, broad ICPs ("any Shopify store"), surface-level personalization, and hooks built to attract curiosity rather than buyers.

That approach inflates reply rates — and kills deal quality. The result is a pipeline full of tiny stores, window shoppers, and brands with no real urgency or budget. That was the exact bottleneck the client was stuck in before this campaign.

What we did

Instead of selling "email marketing," we reframed the entire outbound motion around ownership-level pain — the kind a founder actually loses sleep over.

  • ICP tightening: enforced revenue thresholds and intentionally excluded early-stage brands.
  • Messaging reframing: dropped "we improve open rates" and tool-heavy language entirely. Focused on revenue leakage, underperforming owned channels, and missed repeat-purchase potential.
  • Intent-first filtering: messaging was designed to actively repel DIY founders and $500/month budgets, and optimized instead for replies that signaled urgency, existing traction, and willingness to invest.

The goal was never more replies. It was better economics per conversation.

Campaign-by-campaign results

CAMPAIGN 1$30,000 pipeline
1,434
CONTACTED
83
REPLIED (5.79%)
20
POSITIVE
24.10%
POSITIVE RATE
CAMPAIGN 2$38,000 pipeline
3,812
CONTACTED
202
REPLIED (5.30%)
22
POSITIVE
10.89%
POSITIVE RATE
CAMPAIGN 3$22,000 pipeline
898
CONTACTED
36
REPLIED (4.01%)
11
POSITIVE
30.56%
POSITIVE RATE

Why it worked

E-commerce founders are numb to "more revenue," "done-for-you email," and "proven frameworks." They respond when you speak to leakage, not growth — when you acknowledge what they've already tried, and signal that you're selective.

By designing outbound to filter aggressively, this campaign avoided low-LTV clients, price shoppers, and endless qualification loops — trading raw reply volume for conversations that were actually worth having.

Client identity anonymized. Figures are from actual campaign data.

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