Inside 200,000 Cold Calls

Published: 13 May 2026 · Reading time: 22 minutes · Author: Harry Constant, Director, Nousu Collective

Source: Nousu Collective operating data, November 2024 to April 2026.

Foreword

Every benchmark Australian B2B sales leaders cite is American. Dials per day, connect rates, meeting conversion, email reply rates: almost all of it comes from US research like the Bridge Group SDR Metrics Report, Outreach State of Sales Engagement, Cognism cold calling statistics, and SalesLoft's annual benchmarks. The numbers get quoted in Australian pitch decks, board reports and SDR coaching sessions as if they describe our market. They don't.

The Australian B2B market behaves differently. Smaller TAMs. Different cultural norms on phone versus email. A smaller and harder to hire pool of senior SDR talent. Pickup rates that look nothing like the US data. Sales cycles that vary wildly by vertical in ways the US averages obscure.

Nousu Collective has spent the last 18 months making cold calls into the Australian B2B market at scale, more than 218,000 dials into senior decision makers across SaaS, fintech, AI, sustainability, professional services and industrial sectors. This report is the first to publish operating data from that work.

Three things to know before you read on:

1. It is operating data, not survey data. Every number in this report is drawn from Nousu's dialler, CRM, and meeting booking records. There is no self reporting layer. The numbers are what actually happened, not what sales leaders said happened.
2. It is partisan in one specific way. Nousu is a [phone first outbound agency](/services), which means we have a commercial interest in phone based outbound being effective. We have tried to be intellectually honest where the data is inconvenient for that position, and there are places where it is. Those moments are flagged.
3. It is intended to be useful, not flattering. The temptation in vendor research is to publish only the numbers that make you look good. This report includes the numbers that don't, on the basis that a report nobody can poke holes in is a report nobody trusts.

If a single benchmark in this report changes how an Australian sales leader plans their 2026 outbound, it will have done its job. If five do, it will have done significantly more than that.

Harry Constant, Director, Nousu Collective.

Key findings at a glance

Twelve benchmarks every Australian B2B sales leader should know in 2026.

Want the full report with every chart and benchmark broken out? Download the PDF here.

Methodology

This report draws on Nousu Collective's operating data over the period November 2024 to April 2026. The dataset covers:

• Total cold calls placed: 218,000+
• Time period covered: 18 months
• Unique companies dialled: ~24,000 AU companies
• Verticals covered: SaaS, fintech, AI/ML, professional services, sustainability/ESG, industrial, energy, logistics
• Buyer seniority: Director, VP, C suite, Founder
• SDR team composition: 100% Australian, Sydney based

What we measured

Every dial, every connect, every conversation outcome was logged in the dialler at the moment it occurred. Meeting bookings, qualified opportunities, and downstream sales results were tracked in HubSpot and reconciled against the dialler data monthly.

What we did not measure

Three things this dataset does not capture, in the interest of transparency:

• Deal close rates. Nousu hands qualified meetings to client AEs. Closing is a function of the client's sales motion, not our outbound work.
• Email open rates. Tracking pixels are increasingly blocked by [Apple Mail Privacy Protection](https://support.apple.com/en-au/HT212614) and corporate firewalls. Email open rate has become a meaningless metric and is excluded.
• Long tail conversion. Many cold conversations don't result in an immediate meeting but produce one 3 to 9 months later. This report captures direct meetings only. True productive yield is materially higher than the numbers shown.

Statistical caveats

This is operating data from a single agency, not a representative sample of the AU B2B market. Nousu's clients self select into outbound and skew toward SaaS, fintech, and growth stage businesses. Benchmarks shown should be read as Nousu performance benchmarks, what a well run outbound team should aspire to match or exceed, not universal averages.

Chapter One: The state of Australian outbound in numbers

Most Australian B2B sales leaders are running outbound programs benchmarked against US data that materially understates what is achievable in the Australian market. This chapter establishes the baseline numbers, the operating reality of cold outbound in Australia in 2026.

The fundamental ratios

Every cold outbound program reduces to a small number of conversion ratios. Each ratio compounds with the next. A small change at any stage produces an outsized change in final output.

The headline finding. Australian cold outbound is meaningfully more productive than the US benchmarks most AU sales teams plan against. The reason is not effort. It is the fundamentally different pickup behaviour of Australian B2B buyers. AU teams using US benchmarks as targets are systematically underestimating what their outbound function should be producing.

Why AU outperforms US on the phone

The connect rate lift in AU is not a Nousu phenomenon. It is a structural property of the Australian B2B market. Three factors drive it:

1. Lower call volume saturation. The average Australian senior decision maker receives a fraction of the cold call volume their US counterpart receives. Spam call defence reflexes are less developed.
2. Cultural directness. Australian business culture treats a cold call as more legitimate than the US, closer to British professional norms. A well conducted call gets a hearing more often than in the US.
3. Mobile first reachability. AU mobile direct numbers are easier to source than US (where personal mobile is more guarded) and answer rates on mobile are materially higher than on switchboard lines.

Why most AU teams underperform these benchmarks

Despite the favourable conditions, most AU B2B teams do not hit these numbers. The dataset reveals four consistent reasons:

• Volume floor. Most in house SDRs make 40 to 60 dials a day, not 100+. The available pickup pool is left untouched.
• Wrong time calling. Calls placed outside the 10 to 11am or 2 to 3pm windows produce roughly half the connect rate.
• Quitting at attempt 2. 58% of meetings come from attempts 4 or later. SDRs who do not follow through forfeit the bulk of their pipeline.
• Offshore reliance. Outsourced offshore SDR teams are detected by AU buyers in around 11 seconds and the call ends.

Inconvenient finding. AU outbound benchmarks make outbound look easier than it is for the average team. Hitting these numbers requires volume, cadence discipline, time of day rigour, and onshore conversation skill. Not just dialling. The numbers in this report are achievable. They are not automatic.

If your team is hitting volume but missing on meetings, the diagnostic is usually one of those four. Book a 20 minute audit call with the Nousu team if you want a second pair of eyes on your operating numbers.

Chapter Two: Time of day, day of week, and the geometry of pickup

Connect rate is not a constant. It varies by a factor of 4× across the working day. SDR teams that ignore this variation are leaving roughly half of their potential output on the table.

Connect rate by hour of day

Across 218,000+ Nousu dials, the hourly connect rate distribution is sharply bimodal.

Practical implication. Approximately 68% of Nousu's qualified meetings come from calls placed in two narrow windows: 10 to 11am and 2 to 3pm. An SDR running 110 dials a day distributed evenly is using these windows for roughly 27 dials. Front loading dial volume into the peak windows is the single highest leverage cadence change available to most outbound teams.

Day of the week

The Tuesday to Thursday productivity advantage in cold calling is well documented in US data. In Australia, the effect is sharper still.

Wednesday is the most productive day in absolute terms, narrowly ahead of Tuesday and Thursday. Monday's underperformance is driven by internal meeting culture in AU companies. Senior decision makers are in standups, leadership syncs, or weekly planning sessions through most of Monday morning. Friday afternoon connect rates collapse so steeply that Nousu does not deploy calling capacity to that window.

An SDR placing 500 dials per week spread evenly across all hours will produce roughly 40% fewer meetings than one placing the same 500 dials concentrated in the peak windows. Same effort, different output. Cadence design is not a soft skill. It is the single biggest operational lever in outbound. For a deeper breakdown of how Nousu structures the calling week, see our outbound cadence methodology.

Chapter Three: Attempts, sequences, and the persistence curve

The most consequential SDR coaching question we ask Nousu reps is: how many times did you try this person before giving up? The answer determines roughly half of their meeting output.

Where meetings actually come from

Distribution of meetings booked by the attempt number on which the connecting call occurred:

The most ignored statistic in outbound. 58% of Nousu's meetings are booked on attempt 4 or later. An SDR who quits after 2 attempts is forfeiting approximately 72% of their potential pipeline. This is the most consequential cadence finding in this report.

This aligns with broader industry data. Cleverly's 2026 cold calling statistics report an average of 8 call attempts to reach a decision maker, with most reps quitting too early. The AU data is consistent with this pattern.

The optimal cadence shape

Nousu's working cadence model across most verticals:

1. Day 1: Call attempt 1 (no voicemail) + connection request on LinkedIn
2. Day 2: Email touch (short, plain text, no graphics)
3. Day 4: Call attempt 2 (voicemail on this attempt, caller now recognised on caller ID)
4. Day 7: Call attempt 3 + LinkedIn message if connected
5. Day 11: Email touch 2 (different angle, no follow up language)
6. Day 15: Call attempt 4 (this is where the highest yield begins)
7. Day 19: Call attempt 5
8. Day 24: Final call + LinkedIn close out

Total touches: 8 across roughly 24 calendar days. This cadence consistently produces the 1.3 meetings per 100 dials benchmark.

Voicemail strategy

Counterintuitive finding: voicemail left on attempt 1 reduces overall pipeline yield. Nousu data shows that contacts who receive a first attempt voicemail are 15% less likely to be reached on subsequent attempts. This is likely because the voicemail surfaces the unfamiliar number as a "sales call" which the contact then deliberately avoids.

Optimal voicemail use: leave a voicemail on attempt 3 or 4, after the contact has seen the number multiple times. By that point, the call has earned legitimacy through repetition, and the voicemail becomes a name recognition touch rather than a flag for avoidance.

Chapter Four: Vertical performance, where outbound works and where it doesn't

Aggregate benchmarks are useful for context but misleading for planning. The variance across verticals in cold outbound effectiveness is substantial.

What the vertical data tells us

Three patterns are visible across these numbers:

1. Sustainability and ESG produces the highest pure outbound yield. The combination of urgency (regulatory deadlines, particularly the [Australian climate disclosure mandate](https://treasury.gov.au/consultation/c2024-466491)), budget release (new initiatives), and underdeveloped vendor markets means cold conversations land harder than in any other vertical.
2. Professional services has the highest meeting to opportunity conversion. Cold meetings in PS verticals are unusually high quality. Partners and senior staff who agree to a meeting are typically genuinely interested rather than politely listening.
3. AI / ML vendors produce high meeting volume but lower meeting to opportunity conversion. Buyers in this category are still in education mode. Many will take meetings to learn but are not ready to buy.

Where outbound underperforms

The data also shows verticals where Nousu has run programs that did not produce target output:

• Healthcare and hospitals. Highly regulated, gatekeeper dense, low cold call legitimacy. Outbound is the wrong primary channel.
• Government and public sector. Procurement cycles defeat cold outbound timing. Inbound and panel based channels work better.
• Pure consumer facing retail. B2C and B2B2C blur means decision making is diffuse. Outbound is high effort, low yield.

These verticals were excluded from the aggregate benchmarks because including them distorts what is achievable in the verticals where outbound is the right motion. If your business sits in one of these adjacent categories, get in touch and we'll tell you honestly whether outbound is the right channel for you.

Chapter Five: Phone vs email vs LinkedIn, what each channel actually produces

The dominant narrative in B2B outbound from 2021 to 2024 was that the phone was finished. Every major sales tech vendor pivoted toward email automation, AI generated sequencing, and LinkedIn driven outreach. The Nousu operating data tells a different story.

Channel comparison: touches per meeting

The phone quality premium. Cold phone produces meetings at higher quality (50% convert to opportunities) than cold email (32%) or cold LinkedIn (41%). A team optimising for short term meeting count will favour email. A team optimising for revenue per meeting will favour phone. The agency vs in house decision frequently comes down to which of these the company actually values.

Why email reply rates have collapsed

Across 218,000+ tracked cold emails over the last 18 months, Nousu's average reply rate has been 1.8%. This is below the 3 to 5% often cited in US benchmarks and well below the 5 to 8% some sales tech vendors claim is achievable.

Three forces have compressed cold email reply rates in 2025 and 2026:

• Inbox saturation. The volume of automated cold email has roughly tripled since 2022. Recipients filter aggressively.
• AI generated sameness. Recipients can identify AI written cold email within seconds. Trust collapses on first read.
• Deliverability degradation. [Google](https://support.google.com/mail/answer/81126) and [Microsoft](https://learn.microsoft.com/en-us/microsoft-365/security/office-365-security/email-authentication-about) have tightened domain reputation scoring through 2024 and 2025. Cold email senders increasingly land in junk folders rather than inboxes.

LinkedIn, useful but oversold

LinkedIn produces higher reply rates than email but at a fraction of the throughput of phone. Connection acceptance rates of 34% mean that even a well run LinkedIn motion converts roughly 0.4% of targeted contacts into a meeting, comparable to email, not phone.

LinkedIn is most effective as a warming layer around the phone, not as a primary channel. A target who has seen and accepted a personalised connection request is roughly 2× more likely to take a call from the same SDR within 30 days. Nousu's LinkedIn outreach service is structured to run alongside calling for this reason, never instead of it.

Chapter Six: Onshore vs offshore, what the data says about AU buyer reaction

A large share of cold outbound into the Australian market in 2025 and 2026 is conducted by offshore teams, primarily based in the Philippines, India, and South Africa. The economics of offshore SDR are compelling on paper: fully loaded cost of $30k to $60k AUD per year compared to $120k to $150k for an onshore SDR (PayScale Australia/Salary), 2025). The operating data shows the economics on paper are not the economics in practice.

The detection threshold

Nousu has worked with several clients who previously deployed offshore SDR teams. Across reviewed call recordings, the median time from call connection to AU prospect identifying the offshore SDR, by accent, by phrasing, by intonation, is approximately 11 seconds. The call typically ends within 40 seconds of that identification.

Of approximately 800 reviewed offshore call recordings:

• 76% ended within the first 90 seconds
• 84% never reached a qualification question

The connect rate looks identical to onshore. The conversation rate is dramatically lower.

The real cost equation

A typical offshore SDR team operates at:

• Connect rate (any human picks up): 14 to 17%, comparable to onshore
• DM conversation rate (a real conversation occurs): 1.5%, versus Nousu onshore 6%
• Meetings booked per 100 dials: 0.3, versus Nousu onshore 1.3

On a per meeting basis, the offshore cost advantage disappears entirely. A meeting booked by an offshore SDR costs approximately $920 (driven by the volume needed to overcome the conversation collapse), compared to $425 for an onshore Nousu meeting.

Meeting quality is also affected: 39% of offshore booked meetings are categorised by client AEs as "unqualified or wrong fit" compared to 13% for onshore. Offshore is not cheaper. It is more expensive and the meetings are worse.

Where offshore does work

To be intellectually honest: offshore SDR teams produce reasonable outcomes in two contexts.

1. Inbound qualification, not outbound prospecting. Offshore teams qualifying inbound demo requests perform comparably to onshore teams. Buyers expect a transactional conversation and accent is not a relationship marker.
2. Research and data enrichment. Offshore teams populating CRM data, verifying contact information, and conducting account research perform at parity with onshore at materially lower cost.

The failure mode is specifically: cold outbound to senior AU decision makers conducted by a non AU caller. That motion produces poor outcomes regardless of how well trained the offshore team is. For more on why Nousu runs a 100% Australian team, this chapter is the data answer.

Chapter Seven: AI in outbound, what works, what doesn't, what's coming

AI is now embedded in every layer of the outbound stack: account research, contact discovery, email sequencing, copy generation, conversation intelligence, even AI voice agents making cold calls autonomously. The operating data reveals a sharp split between AI applications that improve outbound performance and applications that degrade it.

AI applications that work

• Account research at scale. AI generated company briefings before each call have lifted Nousu's qualified conversation rate by an estimated 14%. The SDR walks into the call with context that would have required 15 minutes of manual research per account.
• Real time call coaching. AI conversation intelligence tools like [Gong](https://www.gong.io) and [Clari Copilot](https://www.clari.com/products/copilot/) reviewing calls and surfacing coaching opportunities have reduced new SDR ramp time by approximately 30%.
• Predictive scoring on call lists. AI ranked account lists where the top quartile is dialled first have produced 22% more meetings per dial hour than randomised lists.
• Email personalisation at scale. AI generated personalised opening lines (referencing recent company news, hires, funding, or product launches) lift reply rates by an estimated 20% compared to generic templates, when the personalisation is genuinely accurate. When it is hallucinated, it destroys credibility on first read.

AI applications that don't work

• AI voice agents in cold outbound. In limited A/B testing, AI voice agents produced connect rates of 16% (comparable to humans) but DM conversation rates below 1%. Buyers identified the AI within seconds and disengaged. Worse: every detected AI call appears to negatively colour future human attempts from the same domain. The damage outlasts the test.
• Fully AI generated email sequences. Tested at scale, AI only email produced reply rates of 0.6%, roughly a third of human written cold email. Deliverability also suffered. AI generated email is increasingly flagged by spam filters because the patterns are now well known to filtering systems.
• AI driven "autonomous SDR" platforms. Several vendors now market fully autonomous SDR systems. Across two pilots Nousu ran with such systems in 2025, meeting yield was below 5% of human driven baseline. The class of tool is not yet performant for cold outbound to senior decision makers.

The unspoken cost of AI outbound. When AI voice agents and AI generated email reach AU decision makers, the response is not just "no." It is a measurable degradation in trust toward the sending company. The brand cost of poorly deployed AI outbound is real, measurable, and largely invisible in vendor metrics. The dashboard says the campaign performed acceptably. The buyer remembers it for the wrong reasons.

Where AI in outbound is heading

Based on what is working today, the productive AI outbound stack in 2026 and 2027 will look like:

1. AI does research, ranking, briefing, and coaching.
2. Humans do conversations.
3. AI helps humans personalise touches at scale without manufacturing the touch itself.

The brief moment of believing that AI would replace SDRs has passed. The longer term reality is that AI makes SDRs more productive without removing the human in the cold conversation seat.

Chapter Eight: In house vs outsourced, the cost reality

Most B2B founders treat in house SDR as the obvious default and outsourced SDR as the fallback. The cost data does not support that hierarchy.

True cost of an in house AU SDR in 2026

Productivity assumptions

Hiring assumes a fully ramped SDR. In year 1, the reality is:

• 3 months ramp before meaningful output
• 9 months productive output
• Time off, training, internal meetings consume ~25% of productive time
• Effective productive output: ~6.75 months of full performance

At a benchmark of 15 meetings per month at full performance, year 1 yield from a single in house SDR is approximately 95 meetings booked.

Year 1 cost per meeting (in house): approximately $1,820.

Outsourced cost comparison

Nousu's Starter package at $7,000/month including phone, LinkedIn, email, and ICP/research support produces approximately 15 qualified meetings per month from month 2 onward (month 1 is setup and calibration).

• Annual cost: $84,000 + $1,000 setup = $85,000
• Annual meeting yield: approximately 165 meetings
• Cost per meeting (outsourced): approximately $515

The cost differential. Outsourced SDR in Australia is roughly 3.5× cheaper per meeting than in house, driven primarily by removing the ramp period, the churn cost, the management overhead, and the tool stack from the equation.

Where in house wins anyway

Despite the cost data, in house SDR remains the right choice in specific situations:

• When the product is genuinely technical and requires deep product knowledge to handle objections.
• When the company is building a long term sales bench from SDR upward.
• When the founder explicitly values having the function in house for cultural or strategic reasons.

The cost case for outsourced does not erase these strategic cases. If you're weighing this decision now, the Nousu team can model it for your specific business in 15 minutes.

Chapter Nine: What the next 12 months will look like

Drawing on Nousu's operating data, conversations with hundreds of AU sales leaders over the past 12 months, and observable shifts in client behaviour, here is what the AU B2B outbound landscape will look like through end 2027.

What we expect to see

1. Phone first re emergence accelerates. The AI driven crowding of email inboxes is making the phone progressively more effective. Expect connect rates on cold outbound calls in AU to rise modestly through 2027, while email reply rates continue to decline.
2. AI voice agents fail visibly, then quietly retreat. Several high profile AI SDR vendors will publish growth stories in 2026. By mid 2027, most will pivot to AI assisted human SDRs after operating data fails to support the original autonomous SDR thesis.
3. Outsourced SDR adoption increases. The economics shown in Chapter 8 are now well understood by AU founders. Expect outsourced SDR adoption among AU companies with ARR between $2M and $50M to roughly double through 2027.
4. Offshore SDR adoption declines. AU buyer pattern matching against offshore callers is now sufficiently established that even well trained offshore teams will struggle. Several offshore SDR providers will exit the AU market.
5. Sales tool consolidation. The average AU SDR pays for 4.2 sales tools today. By end 2027 expect this to compress to 2 to 3 as [Outreach](https://www.outreach.io), [Salesloft](https://salesloft.com), and [Apollo](https://www.apollo.io) absorb each other's adjacent capabilities.
6. Compensation inflation slows. AU SDR base salaries have grown faster than inflation since 2022. The combination of AI productivity gains and outsourcing growth is likely to slow this trend.

What we expect to be wrong about

Forecasts in this category have a poor track record. The honest position is that some of the above predictions will be wrong. The two most likely failure points:

• AI voice agents may improve faster than expected. If a vendor solves the AU accent and conversation naturalness problem, the offshore detection threshold finding inverts and the entire offshore retreat reverses.
• A major AU regulatory change to cold call rules, particularly around mobile call screening or sender identification, would materially shift the connect rate baselines this report establishes.

This report will be updated annually. The 2027 edition will revisit these forecasts honestly and publish what we got wrong.

Related reading from Nousu

• [In house SDR vs outsourced: the full cost breakdown](/blog)
• [Why phone first outbound works in 2026](/blog)
• [The Nousu services overview](/services)
• [Pricing and packages](/pricing)
• [Client case studies](/case-studies)

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About this report

Nousu Collective is a Sydney based B2B outbound SDR agency. We build sales pipeline for Australian B2B companies in SaaS, fintech, AI, professional services, sustainability, and industrial sectors. Our team is 100% Australian. Our methodology is phone first, calling decision makers as the primary channel, with email and LinkedIn used as warming and reinforcement layers around the call. Across the 18 months covered by this report, our SDRs have placed more than 218,000 cold calls into the AU market.

If the benchmarks in this report are useful, the underlying data is more useful still. We provide custom cuts of the data, by industry, region, role, or company size, to any AU sales or revenue leader who asks. Email research@nousucollective.com.

If outbound pipeline is on your agenda for 2026 and you want to talk through whether an outsourced motion makes sense for your business, we are happy to have that conversation directly. Book a call.

How to cite this report: Nousu Collective. (2026). Inside 200,000 Cold Calls: What 18 months of Australian outbound data actually shows. Sydney, Australia. Available at: https://www.nousucollective.com/blog/inside-200000-cold-calls