Simple 7-step data audit before you send a single email
Most deliverability problems arenโt technical. Theyโre data problems. Before you touch copy, domains, or sequences - run this quick audit. 1) Check ICP alignment Ask: Are these actually your ideal customers? - Right industry - Right company size - Right role If your list isnโt aligned, nothing downstream works. 2) Remove obvious bad fits Clean out the noise: - Students - Agencies (if not your target) - Generic emails (info@, support@) - Competitors These donโt convert, and they hurt deliverability. 3) Verify emails Run your list through a verifier (MillionVerifier or similar). - Remove invalid emails - Remove catch-alls if youโre early stage or sending from new inboxes. 4) Spot-check manually Open 20โ30 random records. Check: - Is the company real? - Is the domain active? - Is the title accurate? If you see multiple issues here, the whole list is suspect. 5) Segment properly Donโt blast one message to everyone. Segment by: - Sub-niche - Company size - Use case Better segmentation = stronger relevance = better replies. 6) Check domain patterns Scan your list: If you see lots of: - weird domains - parked websites - broken sites โฆitโs a sign your data source is low quality. 7) Run a personalization test Take 10 leads. Write your first line. Ask: Does this genuinely fit each one of them? If not โ your targeting is too broad. The reality Clean list = โ lower bounce rate โ better deliverability โ higher reply rates โ longer-lasting inboxes Bad data silently kills good campaigns.