The cold calling playbook

Open, pitch and handle brush offs with scripts built on Gong’s call data, then find where your funnel leaks.

CallsFor reps6 chapters

Free. 6 chapters, each with an AI prompt you can use.

This cold calling playbook is for remote SDRs and AEs who call US buyers from Latin America and the Caribbean. It covers your list, your opener, your pitch, brush offs, voicemail and the numbers that show what to fix.

Every figure here comes from published vendor data, most of it from Gong Labs, and names its source. Where datasets disagree, the playbook says so and asks you to test.

Each section ends with a prompt for your AI assistant. Interviewing for an SDR role? The same skills carry the 2 round mock cold call, now a standard hiring test.

Who it’s for

Remote SDRs and AEs who call US buyers and want more of their connects to turn into booked meetings.

What you’ll be able to do

  • Clean your list so more of your dials reach a real person
  • Open with permission and a clear reason for the call
  • Answer 5 common brush offs and objections without arguing
  • Track your own funnel and fix the stage that leaks

1Why the phone still works

Cold calling draws more argument than any other channel. It also has the deepest data. In Gong’s analysis of 300 million cold calls, the average rep connects on 5.4% of dials. Reps in the top quartile connect on 13.3%.

The gap grows after hello. Average reps book a meeting from 4.6% of their conversations. Top quartile reps book from 16.7%. The channel is the same, and the results are far apart.

So the phone still works for reps who work it well. Gong’s data points to list quality as one of the biggest levers on connect rates. Its top reps put direct dials first and mark bad numbers as they go.

A clean list has 5 marks:

  • Direct dials at the top of every call block
  • Bad numbers marked the moment you hit them, so nobody dials them again
  • Every contact tagged with a time zone
  • 1 line of context per contact, such as a new role or a hiring post
  • Wrong contacts removed from the list instead of skipped each day

Do this today: count how many contacts in your next block have a direct dial. Move those to the top, and research better numbers for the rest before you call.

AI prompt for this chapter

I’m a remote SDR calling {role} at US {type of company}. Here is a sample of my call list with the fields I have: {paste rows}. Sort the contacts into 3 groups: ready to call, needs a direct dial, remove. Explain each choice in 1 line. Then list the checks I should run on every new list before my first dial.

2The opener: permission and a reason

Your opener has 1 job: earn the next 30 seconds. Gong compared openers across the same dataset. A permission based opener that admits the call is cold had a success rate of 11.18%. Asking if you caught the prospect at a bad time had a success rate of 2.15%.

That question hands the prospect an easy no. Follow your permission line with the reason for your call. Gong’s research found reps who state a clear reason have a success rate 2.1 times higher.

A full opener, with a trigger:

  • You: “Hi {first name}, it’s {your name} from {company}. I know this is a cold call. Can I take 30 seconds to say why I called, then you decide?”
  • Them: “Sure, go ahead.”
  • You: “I’m calling because you posted 2 SDR roles last week. Leaders growing that fast often say ramp time is the hard part. How is ramp going on your team?”

No trigger? Use the role: “I’m calling because I work with {role} at {type of company}, and I wanted to ask how you handle {problem}.” Only say what is true about this prospect.

If they decline the 30 seconds, thank them and ask 1 question before you go: “Who on your team owns {problem}?”

AI prompt for this chapter

Act as a cold calling coach. I sell {product} to {role} at {type of company}. Write 3 permission based openers. Each must admit the call is cold, ask for 30 seconds, give 1 reason tied to {trigger} and end with 1 open question. Keep each under 60 words. Then rank them and explain your top pick.

3The value statement and the meeting ask

Permission buys you a short window. Fill it with the problem you solve, in the buyer’s words. A value statement has 3 parts: who you help, the problem they feel and what changes.

Here is a worked example for a rep who sells scheduling software to field service companies:

  • Who: “I work with operations managers at HVAC companies.”
  • Problem: “Many tell me their dispatchers rebuild the schedule by hand whenever a job runs long.”
  • Change: “We give them a schedule that updates itself, so the rest of the day holds.”
  • Check: “How close is that to your week?”

Say it, then stop and listen. Their answer tells you whether to ask for the meeting now or ask 1 more question first. Only use problems real customers have described to you.

Then make the ask small and specific: a day, a time and a length. Try: “Worth a proper look, then. Can we book 20 minutes on Tuesday at 10 a.m. your time?”

If they offer another day, confirm the time zone out loud, because calling across borders makes time zone mistakes easy: “Wednesday at 10 a.m. Central. I’m sending the invite now. Can you accept it while we’re on the phone?”

AI prompt for this chapter

Help me write a cold call value statement. I sell {product} to {role} at {type of company}. The problem they feel is {problem}. Once my product is in place, {result}. Write 3 versions of 3 sentences or fewer, in the buyer’s words with no marketing language. Then write a meeting ask that offers {day and time} in the prospect’s time zone for 20 minutes.

4Early pushback and objections

Early pushback is often a reflex. A brush off ends the call, while a real objection tells you something about timing, budget or fit. Answer both in 3 steps: acknowledge, ask 1 question, then decide whether to continue.

3 brush offs, with replies:

  • “Not interested.” Try: “Fair, you didn’t expect my call. Before I go, how do you handle {problem} today?”
  • “Send me an email.” Try: “Happy to. So it’s useful, what should it cover? If it fits, can we review it together Thursday?”
  • “We already use a tool.” Try: “Makes sense. What do you like about it, and what do you wish it did better?”

2 that may be real objections, about budget and timing:

  • “No budget.” Try: “Understood. If budget were open, would {problem} be worth solving this year?”
  • “I’m busy right now.” Try: “I can call back. Is Thursday at 2 p.m. your time better, or is 1 quick question fine now?”

If they push back a second time, let them go without arguing. Thank them, ask who owns {problem}, and log the brush off in your CRM. Patterns in those notes show what to fix in your opener.

AI prompt for this chapter

Role play a busy {role} at {type of company} who did not expect my cold call. I sell {product}. Give me 1 brush off at a time. Choose from: not interested, send me an email, we already use a tool, no budget, busy right now. After each reply, score me from 1 to 5 on calm and curiosity, then suggest a better line.

5Voicemail that lifts your email replies

Most of your dials will not connect, so treat the voicemail as part of the sequence. In Gong’s voicemail data, email reply rates sat at 2.73% when no voicemail came first. After a voicemail, they rose to 5.87%.

The voicemail sets up your email. Keep it under 30 seconds and point to your email instead of asking for a callback:

  • “Hi {first name}, it’s {your name} from {company}.”
  • “I’m calling because {trigger}. Teams in that spot often run into {problem}.”
  • “I’m sending you an email now with the subject line {subject}. If it’s relevant, reply to that email.”
  • “Again, {your name}, {phone number}. Thanks.”

Send the email within 5 minutes, with the subject line you said out loud. Open it with 1 line about the voicemail so the 2 touches connect.

AI prompt for this chapter

Write a cold call voicemail under 30 seconds for a {role} at {type of company}. The reason for my call is {trigger}. It must say my name 2 times, give 1 clear reason and name the subject line of the email I send next. Then write the email in under 80 words, with the same subject line and an opening line about the voicemail.

6Call blocks and your own funnel

Call in the prospect’s time zone. Sort your list by US time zone and build each block around their working day. Recheck your blocks when US clocks change in spring and fall.

The best days are less clear, because datasets disagree. In ZoomInfo’s analysis of 1.4 million outbound calls, Tuesday and Wednesday hold 44% of demos booked. Other vendors rank the days and hours in a different order.

So protect at least 2 midweek blocks, then test your own times. Keep the list and script the same, run 2 time slots for 2 weeks and compare connect rates.

Then track 4 numbers and read the ratios:

  • Connects divided by dials: your connect rate. Gong’s average is 5.4%, top quartile 13.3%. Low means list or timing.
  • Conversations divided by connects: your opener. Low means early hang ups.
  • Meetings divided by conversations: your booking rate. Gong’s average is 4.6%, top quartile 16.7%. Low means pitch, ask or replies.

A conversation is any call that gets past your opener. Fix the leakiest stage first and change 1 thing at a time, so you know what made the difference.

AI prompt for this chapter

I’m a remote SDR. Last week I made {dials} dials, reached {connects} people, had {conversations} conversations past the opener and booked {meetings} meetings. Calculate my connect rate and booking rate. Compare them with Gong’s averages of 5.4% connect and 4.6% booking. Tell me which stage leaks most, give me 1 change to test this week and name the number that will show the result.

Sources

  1. Gong Labs, Insights from 300M cold calls (2024)
  2. Gong Labs, Best and worst cold call openers
  3. Gong Labs, Cold call stats
  4. Gong Labs, Should you leave voicemails
  5. ZoomInfo, Best days to cold call (2026)
  6. 80Twenty, SDR interview questions (2026)

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