Choose plans based on outcome drivers: deeper research, stronger ICP matching, better entry angles, and deliverability controls. If responses are the bottleneck, increasing volume alone rarely fixes it.

If reply rate is low, prioritize quality first: tighter ICP, richer signals, sharper angle, cleaner offer. Once replies are healthy, scaling lead volume becomes the lever.

Mailly structures ICP as fit + intent + timing. You set hard filters and soft signals, then qualify accounts consistently so you focus on the leads most likely to convert.

Mailly maps roles around the problem you solve: budget owner, pain owner, internal champion. You can start with the safest entry point—the person most likely to respond and route you correctly.

Generic happens when everyone gets the same narrative. Mailly builds sequences from research signals and an entry angle. For most B2B offers, 3–6 steps is a strong baseline; 9 steps fits higher ACV or crowded markets.

Yes—Mailly extracts practical signals from messaging, positioning, product focus, and competitor context to generate personalization that reads like real homework, not placeholders.

Run research → validate ICP → select the best entry angle → generate the sequence. This turns raw info into a clean narrative with a clear CTA that’s ready to send.

Track delivery → opens → clicks → replies → meetings. The biggest leaks are usually deliverability (not reaching inbox) or message-market mismatch (reaching inbox, no reply). Mailly helps isolate which one it is.

Scale with sending windows, throttling, bounce monitoring, and reply protection—so you don’t spam active threads and you keep complaint rates low.

Upgrade when outbound is revenue-critical and you need multiple seats, role-based permissions, integrations, advanced reporting, an SLA, and hands-on deliverability support.