What is a good connect rate for cold calls?

A good cold call connect rate is one that beats your own baseline for the same kind of list. Public 2025 data from B2B calling shows 9.9% of dials reaching a live person in one sample, and about 6.5% of dials reaching a conversation with a prospect in another. Use the same definition as the source before you compare.

Connect rate, contact rate and conversation rate

These 3 rates are often mixed up, and each one answers a different question. Some teams say “contact rate” for any live answer, so the names matter less than writing yours down.

Metric	Formula	What counts
Connect rate	Connects ÷ dials × 100	Any live person: the right person, a gatekeeper or a wrong person
Contact rate	Right-party contacts ÷ dials × 100	The person you meant to reach answered
Conversation rate	Conversations ÷ connects × 100	Connects with the right person that meet your written rule, such as getting past the opener
Per-prospect connect rate	Prospects reached at least once ÷ prospects called × 100	Counts people, not dials, across every attempt

To show the math only: 500 dials, 50 connects, 30 right-party contacts and 20 conversations give a connect rate of 10%, a contact rate of 6% and a conversation rate of 40%. The same 20 conversations are 4% of dials, which is how some reports state it.

Leave voicemail greetings, phone menus and call screeners out of connects. Screening is now part of phones: on iPhone, the “Ask Reason for Calling” setting asks a caller from an unsaved number why they are calling before the phone rings (Apple Support, as of September 2026). Log screener answers as their own outcome.

What public benchmarks show, and how they were measured

As of October 2026, these are 3 public sources that state their sample. Two come from an agency’s own calling programs and one from a study of 351 companies, so none is a random sample of the market.

Source	Published	Data	What counts	Result
Belkins	26 Jun 2026	175,000+ dials logged by its SDR team in 2025, plus 5 anonymized client campaign exports; US, UK, Germany, Canada, Sweden and other European markets	A live person picked up, including gatekeepers, wrong people and “not interested”	9.9% per dial; 24.5% per prospect, with an average of 3 attempts per prospect
Abstrakt Marketing Group	15 May 2026	6,220,737 dials in 2025 across its outbound client programs	Dials that result in an actual conversation with a prospect	About 6.5% for 2025, up from 5.8% in 2024; between 6.16% and 6.73% every month
The Bridge Group	6 Feb 2025	351 B2B companies, 78% based in North America and 83% B2B SaaS	“Quality conversations”, not defined in the public summary	Phone-centric teams average 56 dials and 4.6 quality conversations per SDR per day

Dividing The Bridge Group’s 2 averages gives about 8 quality conversations per 100 dials. That is our arithmetic, not a figure the report states, and a ratio of averages is only a rough guide.

The gap between 9.9% and 6.5% is mostly definition: Belkins counts any live person, and Abstrakt counts conversations with a prospect. Neither number is a target for your team. They are a check that your own number is in a sensible range.

What moves your connect rate

Factor	What the data or the phone shows	What to check
List quality	Switchboards, old numbers and wrong people add dials without connects	Share of dials that end as wrong number or invalid, per list
Seniority	Belkins reports a live contact rate of 11.1% for managers and 7.3% for VPs	Connect rate per title band, not just per list
Country	Belkins reports 9.0% in the US and 14.7% in the UK, and says the mix of industries explains part of the gap	Compare countries only with themselves
Attempts	9.9% per dial became 24.5% per prospect across an average of 3 attempts	How many attempts each contact gets, and how far apart
Local time	A call outside the contact’s working day is more likely to go unanswered	Calls placed in the contact’s time zone and calling hours
Caller ID	The number, and any label on the screen, is what the person sees before deciding to answer	Answer rate per number, and what the screen shows on a few test phones
Call screening	Screened calls look like answers but are not connects	Screener outcomes logged on their own

For the caller ID side, see why calls show Spam Likely and how many calls one phone number can make. For calling windows, see legal calling hours by country.

Dialing faster does not change the share of dials a person answers. A parallel dialer raises conversations per hour, because the rep waits through fewer unanswered calls, but the connect rate per dial stays where the list and caller ID put it.

How to measure and improve yours

1. Write the definitions. Connect, right-party contact and conversation, at the top of the report, kept for the quarter.
2. Split the rate. Per list, per country, per title band and per caller ID number. A team-wide number hides which one moved.
3. Build a 4-week baseline for each split, and compare each week with it.
4. Track per-prospect connect rate too. It shows whether more attempts would reach people that one attempt misses.
5. Fix the biggest gap first. A list with many wrong numbers needs data work; a number whose answer rate fell needs rest or replacing.
6. Compare with benchmarks only on the same definition, and note the date and sample of each one.

For the full weekly review, from dials to meetings booked, see SDR call metrics.

How DialSavvy handles this

AI answer detection in DialSavvy labels every outcome as a person, voicemail, a phone menu or a call screener, so connects count only people. Each call goes out from a local number your workspace owns, with the business profile, SHAKEN/STIR, caller name and caller-ID registrations filed by DialSavvy as the carrier. Each number makes up to 50 calls a day. Answer rates per number, as part of number health, are coming. See the DialSavvy dialer.

This week, write your 3 definitions down, pull 4 weeks of dials and connects per list and per country, and pick the one split with the lowest rate to work on first.