Improving sender reputation in Salesforce Marketing Cloud (SFMC)

  1. Immediate Sender Reputation Actions:
  • Analyze bounce rates and remove hard bounces from all data extensions and lists
  • Review and clean inactive subscribers (no opens/clicks in 6-12 months)
  • Check for spam traps by analyzing patterns in your bounce logs
  • Verify your authentication records (SPF, DKIM, DMARC) are properly configured
  1. Infrastructure Review:
  • Audit all IP addresses and their current reputation scores
  • Check IP warming status if you’ve recently added new IPs
  • Verify dedicated vs shared IP usage
  • Review domain delegation and DNS settings
  1. Campaign Management Strategy:
  • Implement a staged rollout approach for high-volume sends
  • Segment your audience based on engagement levels
  • Consider sending to your most engaged subscribers first
  • Space out large campaigns across multiple days/times
  1. List Hygiene Process:
  • Implement real-time email validation at collection points
  • Set up automated suppression lists for bounces
  • Create a re-engagement campaign for inactive subscribers before removal
  • Document your list cleaning procedures
  1. Content and Delivery Optimization:
  • Review spam trigger words in existing templates
  • Check image-to-text ratios
  • Ensure consistent sending patterns
  • Implement preference centers for better targeting

Phase 1 (Week 1) – Critical Fixes Without Campaign Disruption:

  • Run bounce analysis after hours and create a global suppression list for hard bounces
  • Update authentication records (SPF, DKIM, DMARC) during low-traffic periods
  • Set up automated real-time bounce processing for all future sends
  • Create engagement scoring data extension to run parallel to existing sends

Phase 2 (Weeks 2-3) – Gradual List Segmentation:

  1. While maintaining current campaigns:
    • Create new data extensions for subscriber segmentation
    • Build engagement segments (High, Medium, Low)
    • Run daily automated queries to update engagement scores
    • Keep sending to original lists while building these segments
  2. Campaign Modification Strategy:
    • Start with a 90/10 split: 90% to original list, 10% to new segmented approach
    • Gradually adjust the ratio over 2 weeks
    • Monitor metrics daily to ensure no significant drops in delivery

Phase 3 (Weeks 4-5) – Content and Delivery Optimization:

  1. Template Updates:
    • Create A/B versions of existing templates with improved image-to-text ratios
    • Test new templates on small segments first
    • Roll out successful versions to larger audiences
  2. Sending Pattern Adjustments:
    • Identify optimal sending times based on engagement data
    • Gradually shift sending windows by 30-minute increments
    • Spread high-volume campaigns across multiple days

Phase 4 (Weeks 6-8) – List Hygiene Implementation:

  1. For Existing Subscribers:
    • Start re-engagement campaigns for inactive subscribers
    • Run in parallel with regular campaigns
    • Remove non-responders after 30 days
  2. For New Subscribers:
    • Implement double opt-in
    • Add real-time email validation
    • Create welcome journey with engagement tracking

Ongoing Monitoring and Maintenance:

  1. Daily:
    • Monitor bounce rates
    • Check spam complaints
    • Review delivery rates
    • Adjust send volumes if needed
  2. Weekly:
    • Update engagement segments
    • Review IP reputation metrics
    • Adjust segmentation criteria based on performance
  3. Monthly:
    • Clean inactive subscribers
    • Update suppression lists
    • Review and optimize automation rules

Risk Mitigation Strategies:

  1. Have backup plans ready:
    • Prepare alternative IP addresses
    • Keep backup sending schedules
    • Maintain emergency content templates
  2. Set alerting thresholds for:
    • Sudden bounce rate increases
    • Delivery rate drops
    • Spam complaint spikes
    • Engagement rate changes
  3. Create recovery procedures for:
    • IP warm-up if needed
    • List rebuilding
    • Content optimization
    • Authentication issues