SaaS Client: 95%+ Inbox Placement Restored

Client context

A B2B SaaS company that had built real pipeline from cold email — until it stopped working. Reply rates faded, then meetings, then everything. The team responded the way most teams do: new subject lines, new templates, more volume. It got worse.

The problem

The emails weren’t underperforming. They weren’t arriving.

The diagnosis was straightforward once someone actually looked:

• Burned domains. Months of aggressive sending had wrecked the reputation of every domain in use — and volume ran uncomfortably close to the company’s primary domain.
• No authentication. SPF, DKIM, and DMARC were missing or misconfigured across the sending domains. Mailbox providers had no reason to trust anything.
• Stale data. Lists hadn’t been verified in a long time and were bouncing at 12%. Every bounce told providers the sender didn’t know who they were mailing.
• Volume spikes. Sending jumped whenever pipeline looked thin — exactly the erratic pattern spam filters are built to catch.

None of this shows up in an email platform dashboard. It shows up as silence.

What we built

• New dedicated sending domains. The burned domains were retired, and fresh domains were stood up fully separate from the company’s primary domain.
• Full authentication. SPF, DKIM, and DMARC configured and verified on every sending domain before a single cold email went out.
• Gradual warmup. New inboxes ramped slowly against warmup traffic to build reputation before carrying campaign volume.
• List verification. Every record verified; stale and risky contacts suppressed. Bounce rate dropped from 12% to under 2%.
• Volume discipline. Fixed daily caps per inbox, steady sending patterns, no spikes regardless of what pipeline looked like.
• Content fixes. Link-heavy templates, image signatures, and spam-bait phrasing stripped out in favor of plain, specific messaging.

How the 60 days ran

Weeks 1–2 — Diagnose and rebuild. Full audit of domains, authentication, data, and sending history. Burned domains retired, new infrastructure stood up, lists verified and cut.

Weeks 3–6 — Warm up and hold. Low, controlled volume while reputation built. This is where recovery usually fails: the pressure to resume full sending is enormous, and giving in restarts the clock. Volume held to plan.

Weeks 7–8 — Ramp on evidence. Placement testing confirmed inboxing on the major providers, and volume stepped up in measured increments, each increase earned by the placement data rather than the sales forecast.

Result

95%+ inbox placement restored within 60 days, with bounce rates under 2%. Cold email went back to being a pipeline channel instead of a liability — on infrastructure built to keep it that way.

Lessons

1. Deliverability is infrastructure, not copywriting. The team spent months rewriting subject lines while the real problems were authentication, data quality, and sending behavior.
2. Recovery is mostly restraint. The hardest part of the 60 days was sending less than the pipeline wanted — every shortcut re-burns the domains and starts the clock over.
3. Bounce rate is a leading indicator, not a vanity metric. A list bouncing at 12% was telling mailbox providers everything they needed to know long before placement collapsed.