The challenge wasn't building new flows or writing better subject lines. Those wouldn't matter if emails never reached inboxes. The challenge was rescuing a six-figure email program from technical collapse without destroying the list entirely in the process.

Most brands in this position do one of two things: keep blasting everyone hoping it gets better, or panic-sunset half their list and kill their revenue. Neither works.

Ice Blankets needed a third option: strategic list rehabilitation that recovered deliverability while maintaining revenue and building the infrastructure for sustainable growth.

The first priority was stopping the damage. A deliverability score of 46 meant Gmail, Yahoo, and Outlook were actively routing Ice Blankets to spam. Every send was training inbox providers that their emails were unwanted.

We implemented 13 suppression segments to remove profiles actively harming deliverability:

• Dead weight: Subscribers who hadn't opened in 365+ days
  
• Spam markers: Anyone who'd marked emails as spam 3+ times
  
• False emails: Fake Gmail/Outlook/Yahoo addresses created by bots
  
• Hard bounces and invalid addresses: Technical failures that hurt sender reputation
  
• Previous unsubscribes: Profiles that somehow remained on the list after opting out
  

This wasn't arbitrary list pruning. Each suppression segment targeted profiles that were actively damaging sender reputation or represented zero revenue opportunity.

The result: Removed 10,000+ profiles. Open rates immediately jumped from 25% to 40-64% in the first month. Spam complaints dropped from 10-15 per send to 0-2. Deliverability began recovering within weeks.

Recovering deliverability was step one. Maintaining it required sending only to people who actually wanted emails.

We built engagement segments that replaced "blast the entire list" with targeted sends:

• 45-day engaged: Recent openers and clickers—highest intent audience
  
• 120-day email VIPs: Broader engaged audience for non-promotional content
  
• Openers last 4 days: Hyper-recent engagement for time-sensitive campaigns
  
• Engaged previous purchasers: Customers who'd bought before and still engaged
  
• Fresh Profiles: Customers who still hadn’t purchased yet. 
  

These weren't arbitrary date ranges. They were built around Ice Blankets' purchase cycles, product consideration windows, and historical engagement patterns.

The shift: October campaigns went to 45-day engaged audiences and opened at 64%. November BFCM campaigns targeted 120-day engaged and opened at 42-79%. February campaigns to recent openers hit 61-76%. Every send went to people who'd proven they wanted to hear from Ice Blankets.

Ice Blankets sells cooling blankets to hot sleepers and menopausal women. The purchase decision isn't impulsive—it's considered. The product isn't cheap—$139-$279 for a blanket. The flows needed to match that reality.

We built 18 automated flows:

Pre-purchase flows:

• Welcome series (standard + BFCM variants) that educated on FreezeCore™ technology
  
• Browse abandonment that addressed hesitation about price and effectiveness
  
• Abandoned cart that reinforced product benefits and social proof
  
• Abandoned checkout that removed friction and built urgency
  

Post-purchase flows:

• Pre-arrival sequence that built excitement and set expectations
  
• Post-purchase follow-up that ensured product satisfaction
  
• Repeat purchase nurture that introduced complementary products
  

The approach: Each flow addressed a specific stage of customer consideration. Welcome series educated. Abandonment flows addressed objections. Post-purchase flows maximized lifetime value.

Flows ended up generating 48.6% of total email revenue—not because campaigns underperformed, but because the program got better at converting people who showed intent but didn't immediately buy.

Ice Blankets sells on Shopify and TikTok Shop. The problem: Klaviyo's standard "Placed Order" metric counted all purchases, including TikTok Shop sales that email had nothing to do with. Their attribution was inflated.

We created a custom metric (ID: 01KBGDN3P5VFNTPA23AZ0PG6N5) that excluded TikTok Shop purchases. Suddenly, email attribution was accurate. Reporting was honest. Optimization decisions were based on what email actually drove, not what happened to occur during the same timeframe.

The result: Clear visibility into what was working. No more false confidence from inflated numbers. Real data driving real decisions.

• Deliverability score: 46 → 80+ 
  
• Open rate: 25% → 76% (204% improvement)
  
• Spam complaints: 8 per send → 0-3 per send (62.5% reduction)
  
• List health: 10,000+ damaging profiles removed
  
• Customer inbox delivery: Recovered from spam folder to primary inbox

• Total email revenue: $187K+ in 5 months
  
• Peak revenue month: November 2025 
  
• Total conversions: 700+ orders attributed to email
  
• Average order value: $177.37
  
• Flow revenue: $125K+
  
• Campaign revenue: $62k

• Segments created: 25+ engagement and suppression segments
  
• Suppression strategy: 13 segments protecting deliverability
  
• Engagement targeting: 4 core engagement tiers driving campaigns
  
• Attribution accuracy: Custom metric excluding TikTok Shop

Ice Blankets proves that technical problems require technical solutions, not just better content.

A deliverability score of 46 doesn't get fixed with better subject lines or prettier templates. It gets fixed by removing profiles that are actively harming your sender reputation, implementing suppression segments that prevent future damage, and rebuilding engagement through targeted sends to people who actually want your emails.

The transformation wasn't about sending more emails—Ice Blankets sent 65 campaigns in 5 months. It was about sending to the right people. Open rates tripled because emails were going to engaged subscribers instead of dead accounts and spam traps. Deliverability recovered because every send reinforced that Ice Blankets' emails were wanted, not ignored.

The breakthrough: stop treating your entire list like a single audience. Hot sleepers who opened last week are different from people who haven't engaged in two years. Recent purchasers are different from cold subscribers. Treating them the same kills deliverability and burns revenue.

By implementing strategic suppression, engagement-based segmentation, and proper flow architecture, we took Ice Blankets from a program landing in spam folders to one generating $187K+ in clean, attributed email revenue with 76% open rates and healthy deliverability scores.

When your emails aren't reaching inboxes, your problem isn't marketing. It's infrastructure. Fix the foundation first. Everything else follows.