Load Balancing Suggestions Explained
How Superkabe identifies imbalances and recommends specific actions to protect deliverability
Quick Answer
Superkabe analyzes your mailbox distribution and generates specific recommendations to improve deliverability by rebalancing load. Each suggestion tells you what to change, why it matters, and how to implement it.
What the Optimization Suggestions Page Shows
The suggestions page is a prioritized list of actionable recommendations. Each suggestion is generated by analyzing your current mailbox-to-campaign assignments, domain distribution, and sending volumes.
Priority Level
Each suggestion is ranked by impact. High-priority items affect deliverability immediately; low-priority items are optimizations.
Affected Entities
Shows the specific mailboxes, campaigns, or domains involved so you know exactly what to act on.
Reasoning
Every suggestion includes a clear explanation of the problem and the expected improvement from acting on it.
Types of Suggestions
Add Mailboxes to Underloaded Campaigns
What: A campaign has fewer mailboxes than recommended, putting excessive load on each one.
Why: When too few mailboxes handle a campaign, each mailbox sends more emails. This increases per-mailbox volume, which raises the risk of hitting ESP rate limits and damaging sender reputation.
How: Assign additional healthy mailboxes from the same domain (or new domains) to the campaign. The suggestion will list specific mailboxes that are available and have capacity.
Example: “Campaign ‘Enterprise Outreach Q1’ has only 1 mailbox assigned. Add 2–3 more mailboxes to reduce per-mailbox volume from ~150/day to ~40/day.”
Remove Mailboxes from Overloaded Campaigns
What: A mailbox is assigned to too many campaigns simultaneously, spreading it thin and increasing total daily volume.
Why: A single mailbox in 8 campaigns will send far more emails per day than one in 2 campaigns. Overloaded mailboxes are more likely to trigger spam filters and accumulate bounces faster.
How: Remove the mailbox from lower-priority campaigns, or redistribute campaigns across more mailboxes. The suggestion identifies which campaigns to remove it from.
Example: “john@acmecorp.com is in 7 campaigns. Remove from 3 lowest-volume campaigns to bring effective load from 210 emails/day to ~80 emails/day.”
Redistribute Across Domains
What: A campaign relies heavily on a single domain. If that domain gets blacklisted or flagged, the entire campaign stops.
Why: Domain diversity is critical. If 100% of a campaign’s mailboxes are on @acmecorp.com and that domain gets blacklisted, the campaign has zero fallback. Spreading across 2–3 domains provides resilience.
How: Add mailboxes from different domains to the campaign. The suggestion identifies which domains are over-concentrated and which have available capacity.
Example: “Campaign ‘SMB Outbound’ uses 4 mailboxes, all on acmecorp.com. Add 1–2 mailboxes from altdomain.com to reduce single-domain dependency.”
How Effective Load Is Calculated
Effective load is not simply “how many campaigns is this mailbox in.” It accounts for the weight of each campaign based on how many other mailboxes share the work.
Effective Load = ∑ (1 ÷ mailboxes_in_campaign) for each campaign
A mailbox that is the sole sender in a campaign has load = 1.0 for that campaign. A mailbox sharing with 3 others has load = 0.25.
Example: Same Campaign Count, Different Load
Mailbox A: 3 campaigns
Campaign 1 (1 mailbox): load = 1.0
Campaign 2 (1 mailbox): load = 1.0
Campaign 3 (2 mailboxes): load = 0.5
Total effective load: 2.5
Mailbox B: 3 campaigns
Campaign 1 (4 mailboxes): load = 0.25
Campaign 2 (5 mailboxes): load = 0.20
Campaign 3 (3 mailboxes): load = 0.33
Total effective load: 0.78
Both mailboxes are in 3 campaigns, but Mailbox A carries 3x more effective load because it’s the sole sender in 2 of them.
Tips for Acting on Suggestions
- • Start with high-priority suggestions. These have the biggest impact on deliverability and are the most urgent to fix.
- • Don’t over-correct. You don’t need to act on every suggestion immediately. Focus on the top 2–3 and re-check after implementation.
- • Suggestions update automatically. After you rebalance, the system re-analyzes and removes resolved suggestions or generates new ones.
- • Use the load balancing page alongside this. The load balancing page shows the current distribution; the suggestions page tells you how to improve it.
When to Ignore Suggestions
Suggestions are recommendations, not requirements. You may want to ignore a suggestion if:
- • The campaign is intentionally single-mailbox for testing purposes
- • You’re winding down a campaign and don’t want to add resources
- • Domain concentration is intentional for brand consistency
- • The suggested mailbox is reserved for a specific upcoming campaign