Pick the tolerance window
Step 1 of the cadence sends within a 4-hour tolerance window (e.g. 9am-1pm sender time). Step 2 and later within a 24-hour tolerance window.
A sales-ops lead wants to apply send-time optimization to outbound cadences without rebuilding the sequence engine.
Send-time optimization lifts open and reply rates on prospects with prior engagement history. The structural challenge is applying it to outbound cadences (which typically send at fixed times) without breaking the cadence design.
Send-time batching is the workflow pattern that bridges the gap: cadences keep their fixed step structure but each step's actual send time is optimized per recipient within a tolerance window.
Outbound cadences send at fixed times (often 'Tuesday 10am sender time'). The fixed time is wrong for most recipients. Send-time optimization solves the per-recipient question but cadences can't fully change their send time without breaking pacing.
Step 1 of the cadence sends within a 4-hour tolerance window (e.g. 9am-1pm sender time). Step 2 and later within a 24-hour tolerance window.
Outsolvi's send-time model predicts each recipient's optimal hour within the tolerance window based on their engagement history.
Within the window, recipients are batched by predicted optimal hour and sent at that hour.
Cold prospects with no history get the industry-cohort default within the window.
Compare open and reply rates pre and post send-time batching. Expected lift: 8-15 percent open, 5-10 percent reply on prospects with prior engagement.
Outsolvi's send-time optimization model exposes per-recipient optimal-hour predictions via API. Cadence engines (Outsolvi cadence, Saleshandy, Outreach.io) can consume the predictions and batch accordingly within their tolerance windows.
Cohort-default optimization only; per-recipient lift is small without prior engagement data.
Full per-recipient optimization; prospects with 3+ prior engagements get individual hour predictions.
Per-recipient optimization on customer engagement data; lifts in the 10-20 percent range on customer cohorts.
Send-time batching has a per-step opt-out. Urgent sends bypass the optimization and fire immediately.
Yes, positively. Batched per-recipient sends spread the send volume across a 4-24 hour window, which reduces the receiver-side rate-limit signal.
Free tools, articles, glossary entries, and features that pair with this pattern.
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Start 14-Day Free TrialNate built Outsolvi after watching every email-tracking tool he had ever used lie to him about opens. Outsolvi runs Tier 1 to 5 confidence scoring on every open, native in Outlook and Gmail, so the number on the dashboard is one a rep can actually act on.
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