Every campaign begins with a blank page
Time goes into the first draft instead of reviewing the message.
AI Studio & Copy Engine
High-converting copy, audited before sending.
Harness native AI to generate engaging subject lines, translate email content across 8 languages, and audit Spam Scores to guarantee inbox delivery.
150 to 5,000 monthly AI creditsPre-flight Spam Score audit8-language localized translation
DraftAI-assisted ideas
Review riskSpam Score and links
Approve and sendA human decides
Operational bottlenecks
Guessing subject lines and spam triggers hurts open rates.
A single spam trigger word or weak subject line can ruin months of domain reputation building.
Brand voice changes with every writer
The team lacks a shared brief, structure, and editorial rules.
Errors surface only after sending
Links, structure, and sensitive wording are not reviewed in advance.
AI becomes the final approver
Drafts are used without checking facts, brand context, or compliance.
Four core capabilities
An editorial workflow with explicit control points.
AI creates options; marketers select, edit, and remain accountable; Spam Score adds a technical review signal.
BRIEF
Turn the objective into a structured draft
Use audience, goal, and tone as inputs instead of a generic prompt.
VARIATION
Create options for each segment
Adapt subject lines and calls to action to the recipient context.
PRE-FLIGHT
Review risk signals before sending
Check content, links, and structure so an editor can address potential issues.
APPROVAL
Keep a human approval step
Review facts, brand voice, and required terms before the email enters the queue.
Operating model comparison
AI supports production; Spam Score supports review.
They solve different problems and should never be presented as a deliverability guarantee.
Decision pointPrevious approachWith eMailBase
First draft
Start from scratch for every campaign.
Generate a draft from an agreed brief and structure.
Variations
Duplicate and edit every version by hand.
Generate segment-specific options for editorial review.
Risk review
Rely on individual experience.
Use a consistent list of signals before sending.
Final decision
No shared approval step.
An accountable owner approves content and facts.
Deliverability
Attribute the result to one score.
Consider content alongside DNS, reputation, and data quality.
Inside the product
Edit inside the actual product interface.
The Template Builder shows where the team edits content. AI suggestions and risk checks belong next to that workflow, not in an unrelated decorative image.
Draft inside the editor
Drag-and-drop content blocks
Review before saving or exporting
Metrics to monitor
Measure progress through operational signals.
Measure from receiving the brief until content is ready for the queue.
Track links, variables, and content issues caught during pre-flight.
Compare engagement across versions sent to the same segment.
Frequently asked questions
Where should AI stop in the editorial process?
Use AI to expand options, not to replace editorial ownership or fact-checking.
No. It covers selected content signals; DNS, sender reputation, list quality, and engagement remain critical.
Always review facts, brand voice, legal requirements, and personalization variables before sending.
Provide a clear brief, preferred language, and editorial rules to produce options closer to your style.
Build review into the workflow
Write faster while keeping a responsible owner.
Try a real brief, create several options, and review them before using one in a campaign.