Conversation Intelligence
Every email scored before it sends and analyzed after it lands — AI that learns what earns replies from your audience and rewrites accordingly.
Overview
Thousands of your past sends already encode what works on your audience — which subject lines get opened, which asks get answered, which lengths get ignored. Coventra's conversation intelligence mines that history and scores every new email against it before launch.
Weak copy gets flagged with specific rewrites, sentiment analysis catches tone problems, and send-time modeling puts each message in the window that audience actually reads.
+35%
Typical reply-rate improvement
Pre-send
Scoring — before mistakes ship
Every send
Model retrains continuously
What's Included
Each draft scored for reply probability against your own historical winners.
Line-level suggestions: shorten this, sharpen that ask, cut that cliché.
Tone checked against what your audience responds to — confident, not pushy.
Per-segment send windows modeled from actual open and reply behavior.
Straight Talk
Teams argue endlessly about outreach copy — shorter or longer, formal or breezy, question or statement. The frustrating part? The argument is already settled, empirically, in the thousands of sends sitting in your own history. Which subject lines your audience opened. Which asks they answered. Which clever intros they ignored.
Conversation intelligence just reads that verdict and applies it. Every new draft gets scored against your proven winners before it sends, with line-level suggestions where it falls short. The debates get shorter. The reply rates don't.
Stop arguing about what might work. Your audience already voted — the data just needs counting.
How It Works
We define your exact audience and success criteria together.
Records gathered from trusted, permission-based sources.
Human + automated checks confirm accuracy and compliance.
CSV, Excel, CRM sync or API — your data, your format.
Questions We Hear a Lot
It works best with it — historical sends are the training signal — accessed read-only, under a data agreement, and used solely to model your audience. Thin history is fine too: the model starts from B2B-wide benchmarks and personalizes as your campaigns run.
It optimizes patterns, not personality — length, structure, ask clarity, send timing. Your voice stays yours; the model just flags that your 200-word intro paragraph is where replies go to die. Think editor, not ghostwriter.
Around +35% on reply rates is typical once the model has a few campaigns of your data — bigger where the starting copy was weak. It compounds too, because every send makes the next prediction sharper. We'll baseline your current numbers first so the lift is measured, not asserted.
Send us three recent campaigns — we'll score them free and show what to fix first.