Account Executives who prospect for themselves spend about 40% of their day selling and 60% on everything around it. That is what our users told us when we asked where the working day actually goes: 27% in meetings, 13% prospecting, 37% sourcing leads and 23% on reporting and admin. The biggest block of the day is not selling. It is finding who to sell to.

Where an AE's day actually goes

70% of our users at Sonik are full-time AEs who do their own prospecting. No SDR in front of them, no list handed over on Monday morning. So we asked them a simple question: where does your working day go?

The answer looks like an iceberg.

Above the water, actual selling:

• 27%: meetings with prospects and clients.
• 13%: prospecting, calling and emailing.

Below the water, everything required before and after:

• 37%: sourcing leads. Finding accounts, checking signals, building lists.
• 23%: reporting, contracts and admin. Updating CRM fields, preparing quotes, reporting.

The number that surprised me most: AEs spend almost three times longer sourcing leads (37%) than talking to them (13%).

Why sourcing leads eats more time than prospecting

Sourcing is invisible work. Nobody books it in the calendar, nobody reports on it, and it fills every gap between meetings.

A typical sequence, in our experience: open the CRM, filter accounts, check LinkedIn for a job change, open a data tool for a phone number, paste it back, check the website for a trigger, write a note. Fifteen minutes for one contact, before a single dial.

Some will say prospecting is part of selling. I completely agree. But building a list is not prospecting. Waiting for someone to pick up is not prospecting. Only the conversation is.

There is also a quality cost. A rep who spends the morning building a list arrives at the 4pm calling block, the best slot in our benchmark at 15.8% connect rate, already behind on CRM updates and short on energy. The sourcing block does not just take time. It takes the best time of the day.

What two hours a day is worth

If an AE saves two hours a day on sourcing, that is 25% of an 8-hour day given back to the rep.

Over roughly 220 working days, that is 440 hours a year, or 55 full days. Reinvested in calling at our north-star rate of 20 conversations per day, that is around 1,100 extra conversations per rep per year.

The reverse math explains why the time has to come from somewhere. At the 11.3% average connect rate from our benchmark of 1,000,000 B2B cold calls, a rep needs about 180 manual dials a day to reach 20 conversations. Nobody has that many hours above the water.

How to draw your own iceberg

1. Log one week. Each rep notes their time in 30-minute blocks across four buckets: meetings, prospecting (dialing and writing), sourcing, admin. A shared sheet is enough.
2. Compute the split. Add up the four buckets and divide. You now have your own 27/13/37/23.
3. Find the biggest block below the water. For most teams we see, it is sourcing. For teams with heavy quoting, it is admin.
4. Pick one block and automate it. Not four tools at once. One block, one change, measured over the next month.
5. Re-draw the iceberg after 30 days. The goal is not zero time below the water. It is moving 10 points above it.

Where AI moves time above the water

This is where I think AI becomes incredibly valuable. Not replacing the AE, but moving time from below the water to above it.

• AI sourcing: dynamic lists built from CRM signals instead of hours of manual list building.
• AI dialing: parallel dialing, up to 5x more conversations in the same calling hour.
• AI recording: call notes, CRM fields and reporting filled automatically after each call.
• AI follow-ups: next steps and follow-up emails prepared automatically.

For years, sales systems were built around data entry. The rep fed the CRM. AI can now turn those systems into systems of value creation, where the CRM feeds the rep.

Common mistakes when trying to free up selling time

• Adding tools that add tabs. A new tool that requires copy-paste adds sourcing time instead of removing it.
• Automating the top of the iceberg first. AI-written cold emails save minutes. Sourcing and admin cost hours.
• Hiring an SDR to fix an AE time problem. The SDR inherits the same 37% sourcing block.
• Measuring activity instead of conversations. 200 dials a day with 10 conversations is a list and timing problem, not an effort problem.
• Skipping the measurement. Teams that never log the week keep assuming selling is 70% of the day.

How Sonik approaches the AE iceberg

Sonik was built for the AE who prospects alone. The signals layer reads the CRM (website visits, job changes, closed-lost deals, dormant leads, social intent) and builds the day's list. That is the 37% block.

The parallel dialer calls that list, so a one-hour block produces up to 5x more conversations. After each call, the AI summary fills the CRM fields and drafts the follow-up, which takes a bite out of the 23% block.

Our mission in one line: 2x more meetings through 5x more conversations with the right contacts. The time has to come from below the water.

Conclusion

AEs who self-prospect sell for 40% of the day and source and report for 60%. The fastest way to grow pipeline is not more effort above the water; it is less time below it. This week, ask each rep to log one week in four buckets and draw the iceberg. Then pick the biggest block below the water and take two hours out of it.