Most companies underestimate the true cost of a sales rep.
They look at the salary, do the math, and think they know the number.
They’re usually off by 40-60 percent.
Here’s the real breakdown.
Base Salary: $65,000
That’s the number everyone sees. That’s where the math usually stops.
Benefits: $19,500 (30% of salary)
Sales Tools: $3,600/year ($300/month)
Office Infrastructure: $2,400/year
Recruiting and Onboarding: $8,000 one-time costs (amortized over 2 years tenure = $4,000/year)
Initial Training: $5,000 (first year only, amortized into ongoing)
Management Overhead: $12,000/year per rep
Sales Tools Overhead: $2,000/year
Fully Loaded Annual Cost Per Rep (Year 1): $112,100
Fully Loaded Annual Cost Per Rep (Year 2+): $108,100 (no initial recruiting/training spike)
Now factor in the hidden cost nobody talks about.
40-50% of sales reps don’t make it past 18 months.
When a rep leaves, you don’t just lose a salary. You lose:
This includes both direct costs (recruiting, training) and indirect costs (lost pipeline, management time, productivity gap).
So in a 10-person team with average 45% annual turnover, you replace 4.5 reps per year.
That’s the hidden cost that kills unit economics.
Monthly Service Fee: $4,200 (varies by vendor, $3,500-$5,500 range)
That includes:
Annual Cost Per Seat: $50,400
Your Internal Oversight: 15-20 hours/week = 1 FTE equivalent at $60,000 allocated cost = $60,000/year for managing 8 outsourced reps = $7,500 per outsourced rep.
Onboarding and Knowledge Transfer: $5,000-$8,000 one time (not recurring)
Year 1 Total Outsourced Cost Per Rep: $57,900-$62,900
Year 2+ Total Outsourced Cost Per Rep: $52,900-$57,900 (no knowledge transfer spike)
Turnover Savings: 92% retention rate means near-zero replacement costs.
Average cost of replacing an outsourced rep: $5,000 (recruiting, onboarding, knowledge transfer).
At 92% retention vs. 50% turnover in in-house: annual turnover cost for 10 outsourced reps is $4,000 vs. $575,000 for in-house.
Even in a steady state, outsourcing beats in-house by roughly 65-67 percent.
This all assumes equal production.
In reality:
The real difference is in ramp speed. Outsourced teams produce faster early (6 weeks to meaningful output vs. 12 weeks in-house).
If your business model requires speed, the outsourced advantage compounds.
Let’s put this in terms of actual output.
Assume a team producing 20 qualified meetings per week:
Outsourced is 66% cheaper per meeting.
If the meeting quality is equivalent (and it typically is within the same vertical), this is the real ROI calculation.
In-house beats outsourcing on cost only when:
For most SaaS companies, insurance agencies, real estate, home services, financial services, telecom: outsourcing wins on pure cost by 40-67 percent.
This isn’t about cheap vs. expensive.
It’s about efficiency.
A 10-person in-house team costs $1.7M per year and produces 1,040 meetings.
A 10-person outsourced team costs $583K per year and produces roughly the same output.
That’s not a close call.
The question isn’t “Should I outsource?”
The question is “Why would I hire in-house?”
And the honest answers are: You want culture. You want control. You want direct relationships. You have time to build. You’re willing to pay for it.
All valid reasons. But don’t call it a cost decision. It’s a cultural and strategic decision.
Book a call. We’ll build out your cost model for both in-house and outsourced, show you the true break-even point, and help you decide which model actually makes sense for your business.
Numbers don’t lie. But they do clarify.
Outsourcing isn’t broken.
But the way most companies execute it is.
We’ve watched deals fail across verticals, team sizes, budgets. The patterns are unmistakable. Not because outsourcing doesn’t work, but because the setup was doomed from the start.
Here are the seven failure patterns we see most.
Some verticals are built for outsourcing. Some are not.
A 6-month enterprise software sale where the buyer needs deep relationship building, multiple touchpoints, and a custom solution? That’s a terrible fit for outsourcing. The outsourced team can’t build the strategic relationships required. You’re paying for a transactional model in a consultative market.
A 2-week SaaS free-trial conversion where the buyer self-selects and just needs a demo booking? Perfect outsourcing fit.
Companies that ignore vertical fit get 40-50% of the performance they should, blame the outsourcing model, and pull the plug.
Vertical mismatch kills 25% of outsourcing deals before they have a chance.
You hire an outsourced team and expect them to show up knowing your product, your market, your customers, your competitors, your narrative.
That’s not how humans work.
A real knowledge transfer takes 40-80 hours of your leadership team’s time. It means spending week one on product deep dive, market context, buyer psychology, competitive positioning, and the reason a customer actually cares.
Companies that skip this or half-ass it get slow ramp, weak positioning, missed messaging.
Then they wonder why the outsourced team isn’t hitting production.
No knowledge transfer plan kills another 20% of deals by month 3.
You hire an outsourced team on Monday.
By Friday, you expect full production.
By week two, you’re disappointed.
This is insane.
A realistic ramp: Week 1 is 20% production. Week 3 is 50%. Week 6 is 80%. Week 8 is 100%.
If you’ve chosen the right outsourced partner and invested in knowledge transfer, those timelines are conservative.
If you expect faster, you’re setting up failure.
Companies that expect immediate impact panic when month 1 is soft and kill the deal before month 3 inflection happens.
Unrealistic ramp expectations kills 30% of deals in months 1-3.
The outsourced team is your team now.
But they’re not. They’re working for a different employer with different managers and different incentives.
Some companies try to fix this by micromanaging: daily calls, hourly check-ins, second-guessing every decision.
This destroys morale. It slows execution. It signals that you don’t trust them.
The better approach: clear metrics, weekly reviews, coaching-based approach. You set the expectations and the boundaries. They run their side of the business.
Micromanagement kills 15% of deals by month 4.
Your outsourced team can’t sell if they don’t have good data.
Good data means: accurate account list, right buyer personas, current contact info, company research, competitive analysis, vertical context.
Most companies hand over a half-baked spreadsheet and expect magic.
That’s not what happens.
A real data handoff takes time. You need to audit your list, segment your market, define your ICP, build your account prioritization, and package it in a way the outsourced team can actually use.
This is 20-30 hours of work on your side.
Bad data handoff kills another 20% of deals because the outsourced team is chasing the wrong accounts.
Here’s what happens without shared metrics:
You think they should be hitting 20 qualified meetings per week. They think they should be hitting 15. You don’t actually talk about what success looks like, so you’re measuring different things.
By month three, you’re frustrated because they “missed target.” They’re frustrated because you moved the goalposts.
Both are partially right, but the misalignment kills the deal.
Real execution: Write down the exact metrics. Qualified meeting definition. Pipeline target. Quota attainment pace. CPA. Conversion rate from cold touch to booked meeting.
Then weekly review against those metrics. Not blame-based. Coaching-based. What’s working? What’s not? What do we adjust?
No shared metrics kills 25% of deals.
This is the hardest one to diagnose but the most expensive to ignore.
Your outsourced team’s communication style doesn’t match your sales culture. Their work cadence is different. Their approach to objection handling is different. Their tone in calls is different.
When you hand off accounts to in-house AEs later, there’s friction. The account holder feels like they’re starting over with a different team.
This is especially brutal if your outsourced team built the relationship on a certain tone and your in-house team is dramatically different.
The fix: Spend time designing the handoff protocol. Document the buyer relationship. Introduce the in-house AE early so the transition is smooth, not jarring.
Cultural misfit kills 15% of deals in the handoff phase.
The companies that win with outsourcing share common traits:
They invest heavily in knowledge transfer. Not shortcuts. Not “we’ll figure it out as we go.” Full week one dedicated to playbook, market, buyer, competition.
They plan for a realistic ramp curve. They know month 1 is soft. They budget for it. They get excited when month 3 happens instead of panicking.
They manage actively but not micromanage. Weekly reviews. Coaching approach. Clear metrics. But they give the team room to execute.
They treat data seriously. Good list. Good research. Good ICP definition. They understand that garbage in equals garbage out.
They define success together. They’re aligned on metrics from day one. Qualified meeting definition. Pipeline target. Pace.
They plan the handoff. If they’re hiring in-house later, they think about how to transition smoothly. They don’t just pull the rug out.
Outsourcing works.
The data is clear. 8:1 ROI. 40% savings. 50% faster ramp than hiring. 92% retention vs. 40-50% turnover in internal teams.
But only if you treat it as a strategic build, not a tactical shortcut. Only if you do the work.
The companies that fail at outsourcing fail because they expected it to be free. They skipped the knowledge transfer. They micromanaged. They handed over bad data. They didn’t define success.
Then they blame outsourcing.
The model isn’t broken. The setup was.
Book a call. We help clients avoid all seven of these patterns. We build the knowledge transfer playbook, set realistic expectations, manage actively, and create the conditions for actual success.
We’ve learned from the failures. We know what works.
Everyone says outbound is dead. Nobody stopped doing it.
Every year, some SaaS marketing VP publishes a hot take about the death of cold calling. Every year, the data says the opposite. And every year, the gap between teams that prospect with discipline and teams that spray-and-pray gets wider.
This is the outbound paradox of 2026. And if you understand it, you have a massive advantage over every competitor still arguing about whether to pick up the phone.
Only 28% of sales reps hit their annual quota in 2024 and 2025. That’s the lowest figure in six years, according to Salesforce’s State of Sales report.
Meanwhile, revenue at many of those same companies went up.
How? Two forces colliding. Companies raised quotas (58% of organizations over-assigned targets by 20 to 30%) while simultaneously thinning their sales teams. Fewer reps carrying bigger bags. The math was rigged against the middle of the pack from day one.
But the top performers? They pulled further ahead. Not by a little. By a canyon.
Jeb Blount calls this the Law of Replacement in Fanatical Prospecting. Your pipeline is a leaky bucket. If you’re not adding to it every single day, it doesn’t slowly drain. It collapses. The 28% who hit quota weren’t luckier. They were fanatical about filling the top of the funnel while everyone else was “waiting for inbound.”
82% of buyers say they’ll take a meeting that started with a cold call (RAIN Group). 57% of C-level and VP buyers actually prefer the phone over email or LinkedIn (same study). Directors sit at 51%. Managers at 47%.
The people with the most authority and the least time still want to talk to a human on the phone.
Jordan Belfort built an entire system around this in Way of the Wolf. His Three Tens framework says every sale requires the prospect to reach high certainty on three things: the product, the person selling it, and the company behind it. You can raise all three on a phone call in under five minutes. Try doing that with a LinkedIn carousel.
So if buyers are open to calls, why does outbound feel so broken for most teams?
Because most teams are terrible at it.
The average cold call success rate across millions of dials is 2.3% (Cognism, 2026). That’s the number people point to when they say outbound is dead.
But here’s where the paradox lives. Teams using intent data, proper pre-call research, and disciplined follow-up sequences post success rates between 6% and 15%. Cognism’s own SDR team hit 11.3% in early 2026. Nearly five times the average.
Same phones. Same buyers. Five times the results.
Keenan would call this the Gap. In Gap Selling, he makes the case that the size of the problem you can articulate determines the price someone will pay. Applied to outbound: the size of the preparation gap between your team and the average team determines how many meetings you book.
Josh Braun quantified this in Cold Calling Sucks. The top quartile of cold callers book 9x more meetings than average callers from the same 800 dials. Not 2x. Not 3x. Nine times. The difference isn’t talent. It’s three specific things.
Research before the dial. Not a quick LinkedIn glance. Actual trigger events: funding rounds, leadership changes, tech stack shifts. Braun calls this building a “Problem Proposition” instead of a value proposition. You don’t call to pitch what you sell. You call to describe a problem the prospect is already living with. That flips the entire dynamic.
Follow-up past attempt two. 93% of conversions happen after six or more touches (Salesforce). Most reps quit after one or two. Blount’s 30-Day Rule makes this painfully clear: the prospecting you do today fills your pipeline 90 days from now. Quit after two attempts and you’re not just losing that deal. You’re starving your future self.
Ruthless protection of selling time. The average rep spends only 30% of their day actually selling (Everstage, 2026). The rest vanishes into CRM updates, internal meetings, and chasing leads that were never real. Blount calls the best hours of the day “Golden Hours” and treats them like sacred ground. No admin. No email. Just dials.
Let’s be honest about who keeps pushing this narrative.
It’s companies selling inbound marketing software. Or AI tools that promise to replace your SDR team with a chatbot. They need outbound to be dead because their revenue depends on you believing it.
Hormozi addresses this directly in $100M Leads. He lays out the Core Four ways to generate leads: warm outreach, cold outreach, content, and paid ads. None of them is “better” than the others. The businesses that win use all four, but they start with the one that gives them the most direct control. For B2B? That’s cold outreach. Always has been.
His Rule of 100 is dead simple. Do 100 primary prospecting actions per day. 100 cold calls. Or 100 personalized emails. Or 100 minutes of content creation. Consistency beats creativity. Volume plus skill beats volume alone.
The companies seeing the highest pipeline conversion rates in 2026 aren’t choosing between inbound and outbound. They’re combining outbound with signal-based targeting (intent data, technographics, buying signals) and watching their numbers separate from the pack.
Lazy outbound died. And good riddance.
Dialing 200 numbers from a purchased list with zero research and a script that sounds like it was written by a committee of people who’ve never sold anything? That deserves to be extinct.
What replaced it is harder. It requires better data. Sharper messaging. Trained humans who can hold a real conversation and handle objections without panicking. (Blount’s Ledge technique: when you hear a reflex brush-off, don’t argue. Pause. Acknowledge. Redirect. It buys you two seconds and changes the entire trajectory of the call.)
It requires a follow-up cadence that doesn’t quit at attempt number two. Alex Berman’s CCQ email framework works here: Compliment (personalized), Case Study (proof), Question (CTA). Three sentences. No fluff. Paired with a multi-touch phone and LinkedIn sequence, it’s how disciplined teams build pipeline while everyone else refreshes their inbound dashboard hoping for a miracle.
82% of buyers will take a meeting from cold outreach. The addressable market is massive.
Only 28% of reps hit quota. If your team is near average, you’re leaving a fortune on the table.
93% of deals close after the sixth touch. If your team quits at two, you’re abandoning 9 out of 10 opportunities.
Top teams hit 6 to 15% cold call success rates. The average is 2.3%. The gap is preparation, data quality, and persistence.
You have two options.
Option one: believe the narrative. Shift everything to inbound. Compete with every other company running the same playbook on the same platforms. Hope the algorithm favors you. Cross your fingers.
Option two: build a disciplined outbound engine. Staff it with people who can sell. Arm them with real data. Train them on Permission Openers, Problem Propositions, and the Three Tens. Measure what matters. And watch the pipeline fill while your competitors argue about whether cold calling still works.
The companies dominating right now aren’t louder. They’re not spending more on ads. They’re not using some magic AI tool.
They’re picking up the phone. Doing the research. Following up. And closing.
Outbound isn’t dead. Bad outbound is. And the gap between the two has never been wider.
Ready to build an outbound team that actually performs? Book a call with 2CanTalks and let’s talk about what disciplined outbound looks like for your business.
Sources: Salesforce State of Sales Report (2024 to 2025), Cognism Cold Calling Statistics (2026), Everstage Sales Productivity Statistics (2026), RAIN Group Buyer Preferences Study.
This is the question that wakes up founders at 2 AM.
Build a sales team in-house, or outsource it?
Most comparisons are garbage. Either they’re written by outsourcing vendors hyping their model, or by founders convinced that only their homegrown team can represent their brand.
Both are lying to themselves.
Here’s the honest version: neither wins on everything. The right answer depends on your stage, your budget, your growth timeline, and your tolerance for execution risk.
| Factor | In-House | Outsourced | Winner |
|—|—|—|—|
| Monthly Cost (10 reps) | $85,000-$120,000 | $42,000-$50,000 | Outsourced (41-51% cheaper) |
| Time to Productive | 12-16 weeks | 6-8 weeks | Outsourced (50% faster) |
| Fully Loaded Cost Per Hire | $115,000 (turnover replacement) | $0 (not your problem) | Outsourced |
| Control Over Messaging | Direct + immediate | One layer removed | In-house |
| Brand Representation | Your culture + your voice | Trained but distant | In-house |
| Scalability | Linear (hire more, spend more) | Flexible (scale up/down monthly) | Outsourced |
| Ongoing Management | 5-10 hours/week (internal manager) | 15-20 hours/week (relationship mgmt) | Tie |
| Compliance & IP | You control it | Depends on contract | In-house |
| Retention/Stability | Turnover 40-50% annually | 92% retention* | Outsourced |
| Knowledge Transfer | Internal, easier | External, requires structure | In-house (slightly) |
| Quota Attainment | Depends on hire quality | 85-90% by month 8 | Roughly even |
*Based on 2CanTalks data; industry varies 70-85%.
Your sale takes 6+ months. Your buyers need deep relationship building. Your value prop is nuanced and changes based on each buyer’s situation. In-house teams build institutional knowledge faster. They internalize your market. They become extensions of your leadership.
Example: Enterprise software, high-touch consulting, executive coaching.
If growth is important but not urgent, invest in hiring and training. You’ll build a stronger culture. You’ll have more direct control. You’ll avoid the ramp cost.
Example: Bootstrapped companies, lifestyle businesses, well-funded companies with patient capital.
If your sales team is a competitive advantage (e.g., former industry insiders, deep domain expertise), hire in-house. Outsourcing dilutes this edge.
Example: FinTech recruiting niche experts, specialized B2B consulting, executive search.
Some industries require direct employment. Some regulators want to see your team directly represent your brand. Some contracts specify it.
Example: Financial services (certain roles), healthcare (some jurisdictions), heavily regulated industries.
You have 90 days to prove demand. You need 10 qualified meetings per week in 6 weeks, not 16 weeks. Outsourcing compresses the timeline by 50%.
Example: SaaS companies in growth mode, startups launching a new vertical, companies with product-market fit ready to accelerate.
Every time a sales rep leaves, you lose $115,000 in direct and indirect costs. With outsourced teams at 92% retention, you avoid that risk entirely.
Example: Early-stage companies where one departing rep cripples growth, mid-market companies with thin margins.
Market gets soft? Scale down. Vertical underperforms? Pivot. New product launch? Test sales motion with low fixed cost. Outsourced teams move with you.
Example: Companies testing new verticals, seasonal businesses, companies in uncertain markets.
If the sale is relatively straightforward (product-led, short cycle, clear value prop), outsourcing works beautifully. The learning curve is shorter. The ramp is faster.
Example: SaaS companies with clear ICP, insurance agents, real estate agents, telecom/UCaaS, home services.
Your engineering team should be building. Your founding team should be running the business. Your outsourced team should be booking meetings. This eliminates distraction.
Example: Venture-backed SaaS, bootstrapped product companies, founder-led technical teams.
Here’s what the best companies do: they don’t pick one.
Phase 1 (Months 1-12): Launch with outsourced team. Generate 15-20 qualified meetings per week. Test messaging. Validate product-market fit. Learn your buyer. 40% of the cost of hiring, 50% faster timeline.
Phase 2 (Months 9-15): Hire an in-house Sales Manager as the market matures. This person manages the outsourced team AND starts recruiting your first couple of in-house Account Executives (AEs).
Phase 3 (Months 12-24): Transition high-opportunity accounts to in-house AEs. Keep outsourced team for pipeline generation (SDR function). Now you have the best of both: speed and control.
This hybrid approach costs 30% less than full in-house hiring, moves 40% faster than build-from-scratch in-house, and gives you direct control over your biggest accounts.
It’s the model that works.
If yes, in-house can work well. If no, outsourced is the safer bet.
If yes, in-house risk is lower. If no, outsourced’s 92% retention becomes a huge advantage.
If yes (transactional), outsourced works great. If no (highly consultative), in-house is better.
Pick outsourced if you need to scale fast, can’t afford turnover, or need flexibility.
Pick in-house if you have time, complexity requires deep relationships, or regulatory/compliance demands it.
Pick hybrid if you’re smart about how you grow.
Most companies don’t pick. They get pressured into a decision and execute poorly. The cost of a bad decision isn’t the monthly fee. It’s the 6-12 months lost to a ramp that shouldn’t have taken that long.
Make the choice deliberately. Commit to it. Execute it well.
Book a call. We’ll walk through your growth stage, your timeline, your market, and help you design the right structure for your business. We built our outsourcing model by learning from companies who did both.
No bias. Just honest counsel.
The numbers look unreal. 8:1 return on investment. 13:1 in some cases. 40% cost savings. 5-15% faster growth.
They’re real.
But here’s what the glossy case studies don’t show you: the knowledge transfer grind, the 30-60 day ramp, the management overhead, the learning curve that bends before it breaks. This is the honest breakdown.
Let’s start with the positive case.
A 100-person SaaS company invests $50,000/month in an outsourced sales team. Within 4 months, they generate 40 qualified meetings per week. At their average deal size ($12,000) and 25% conversion rate, that’s $240,000 in pipeline per month.
Cost: $50,000. Return: $240,000 in new pipeline. That’s 4.8:1 in the first four months.
But the real ROI compounds.
By month 8, the outsourced team hits mature production. Same $50,000 investment now generates $400,000+ in pipeline monthly (higher velocity, refined messaging, established processes). The cost per acquisition drops 60% against internal hiring.
That’s where you see 8:1, 10:1, even 13:1 returns.
Deloitte’s 2024 outsourcing benchmark reported that companies using outsourced sales teams reduced their fully loaded cost per hire by 40% while maintaining quota attainment within 6-8 weeks. McKinsey found that organizations scaling sales operations through outsourcing grew 5-15% faster than peer companies building internally.
These are not outliers. These are patterns.
Here’s where the case studies go quiet.
Your outsourced team doesn’t show up knowing your product, your market, your competitors, your buyer psychology, your playbook. Someone on your side has to teach them. That’s 40-80 hours of your leadership team’s time, usually the ones least available.
When knowledge transfer gets skipped, you get slow ramp, missed messaging, weak positioning. When it’s done well, it’s expensive in attention cost.
Your outsourced team doesn’t produce on day one. Even well-trained teams take 30-60 days to hit 70% of mature production. Week one is 20% production. Week three is 50%. Week six is 80%. Week eight is 100%.
If you’re looking for immediate impact, you’ll be disappointed. If you’re building a 6-12 month plan, the curve inverts fast.
Some companies think outsourcing means hands-off. It doesn’t.
You need a dedicated person managing the relationship. Daily stand-ups. Weekly performance reviews. Incident management. Messaging refinement. Data sync. Sales enablement. That’s 15-20 hours per week of internal resource.
Budget for it. Plan for it. Most failures happen because companies don’t.
New CRM setup. Data migration. Compliance documentation. Sales stack integration. Training materials. Playbook documentation. Security audits. Most companies budget $10,000-$25,000 here and then spend $25,000-$50,000.
Plan for double what you initially estimate.
Your outsourced team will make mistakes. Wrong positioning. Tone issues. Data quality problems. Messaging misses. The pipeline they generate in weeks 1-8 often needs heavy refinement.
Budget 20% loss on initial pipeline quality. It improves fast, but it happens.
The math assumes realistic execution. No shortcuts. No hiding the work.
For a 10-person in-house team at fully loaded cost ($85,000 average): $850,000 annual spend.
For 10 outsourced seats at $4,200/month ($50,400 annual): $504,000 annual spend.
That’s 41% savings. Conservative estimate.
They share three traits:
The 8:1 ROI is real.
The 40% savings is real.
The 5-15% growth acceleration is real.
But only if you treat outsourcing as a strategic build, not a tactical shortcut. Only if you invest in the relationship, the knowledge transfer, the ongoing management. Only if you plan for the ramp curve and adjust your expectations accordingly.
That’s where most companies fail. Not because outsourcing doesn’t work. Because they try to run it like it’s free.
It’s not free. It’s just dramatically cheaper than building in-house while producing faster results.
That’s the real trade.
Book a call. We’ll walk through your vertical, your timeline, your budget, your growth target, and model out the realistic ROI for your business.
No pitch. Just honest math.
You’re running outbound. You’re making calls. You’re booking meetings. You’re closing deals.
But are you measuring the right things?
Most sales leaders track revenue. That’s good. But revenue is a lagging indicator. It tells you what happened, not what’s going to happen.
If you want to predict revenue and know where to improve, you need to track the right metrics.
Here are the 10 KPIs that actually predict revenue.
This is your volume metric. How many actual conversations is your team having per day?
A conversation is when someone picks up the phone and talks to your rep. Not a voicemail. Not a callback. An actual human conversation.
Benchmark: top quartile SDRs average 8-10 conversations per day.
Why this matters: conversations are the leading indicator of meetings. You can’t book meetings without conversations. If your reps are having four conversations per day, you know your meeting output is going to be low.
Target: 8+ conversations per day per SDR.
How many dials is your team making per day?
This is the input metric. More dials don’t automatically mean more results, but without sufficient dials you can’t hit your conversation and meeting targets.
Benchmark: 130+ dials per day per SDR.
This assumes phone is 80% of outreach (dials), email 10%, LinkedIn 10%.
Target: 130+ dials per day per SDR.
Of all dials made, what percentage result in an actual conversation?
If you’re making 130 dials and having 8 conversations, your connect rate is about 6%.
Benchmark: 4-8% connect rate is normal. Top quartile is 8-12%.
Why this matters: if your connect rate is 2%, either your data is bad or your timing is bad. Fix this before optimizing anything else.
Target: 6-10% connect rate.
Of every conversation, how many convert to a booked meeting?
If your SDRs are having 8 conversations per day and booking one meeting per day, your conversion is 12.5%.
Benchmark: 12-20% is normal. Top quartile is 20-30%.
Why this matters: this reveals whether your reps can actually qualify and sell. If this is below 12%, either your messaging is weak or your reps aren’t trained well enough.
Target: 15-25% conversation-to-meeting conversion.
Self-explanatory. How many qualified meetings is each SDR booking per day?
At 130 dials per day, 6% connect rate, 15% conversion: each SDR books about 1.2 meetings per day.
Benchmark: 1-1.5 meetings per day is normal. Top quartile is 1.5-2+.
Target: 1-1.5 meetings per day per SDR.
What does it cost to book one qualified meeting?
Take your total outbound cost (all SDR salaries, tools, data, management overhead) and divide by total meetings booked.
Example: Team of 5 SDRs, total cost $400,000/year, 1,000 meetings per year. Cost per meeting: $400.
Benchmark: $300-600 per qualified meeting depending on industry and sales cycle.
Why this matters: this tells you if outbound is economically viable. If your cost per meeting is $800 and your average deal size is $5,000, you need a 90%+ close rate to break even. Probably not sustainable.
Target: $300-500 per qualified meeting.
Of every meeting booked, what percentage becomes a qualified opportunity?
This is an AE metric, not an SDR metric. But it tells you if your SDRs are booking real meetings or junk.
Benchmark: 40-60% of meetings become opportunities. If it’s below 40%, your SDRs are over-promising or your data is bad. If it’s above 80%, your AEs are probably over-qualifying.
Target: 40-60% meeting-to-opportunity conversion.
How long does an opportunity stay in your pipeline?
Track the average number of days from meeting to close.
Benchmark: 30-90 days depending on deal size and industry.
Why this matters: fast pipeline velocity means your reps are moving deals quickly. Slow velocity means deals are stalling. This reveals coaching and qualification issues.
Target: 30-60 days average deal cycle.
Total revenue attributable to outbound divided by number of SDRs and AEs.
This is the ultimate output metric. Not revenue per company. Revenue per rep.
Benchmark: $15,000-50,000 per month per rep depending on industry and deal size.
Why this matters: this tells you if your outbound machine is working at all.
Target: $20,000+ per month per rep.
What percentage of opportunities close?
Benchmark: 20-40% is normal. Top quartile is 40%+.
Why this matters: this reveals the quality of your entire funnel. If your win rate is 5%, either your AEs can’t sell or your SDRs are booking garbage meetings.
Target: 25-35% win rate.
Here’s how they work together.
Your SDRs drive conversations. Conversations drive meetings. Meetings drive opportunities. Opportunities drive revenue.
Track each metric. Look for bottlenecks.
If your dial volume is high but conversations are low, your connect rate is the problem. Fix your timing or data.
If your conversations are high but meetings are low, your messaging or qualification is weak. Coach your reps.
If your meetings are high but opportunities are low, your AEs aren’t qualifying properly. Realign expectations with SDRs.
If your opportunities are high but revenue is low, your AEs can’t sell. Training issue or rep quality issue.
The metrics create a diagnostic. Each metric tells you where to look.
Ask your VP of Sales: can you tell me our connect rate? Our meeting-to-opportunity conversion? Our cost per qualified meeting?
If they can’t answer these with confidence, you’re flying blind.
Start tracking these 10 metrics. Weekly, not monthly. Daily is better.
Your spreadsheet should have:
Update it every week. Share it every Monday with your team.
You’ll be amazed how quickly things improve when everyone can see the data.
Print out these 10 metrics. Show them to your team. Tell them these are what you’re optimizing for.
Then build the dashboard. Get the data. Start tracking.
Within 30 days you’ll see where the leaks are. Within 90 days you’ll have fixed them.
Outbound is predictable. Track the metrics and you predict revenue.
Ready to build the metrics dashboard? Let’s talk. Book a Call
Your sales team is grinding. They’re making calls. They’re running meetings. They’re closing deals.
But they’re also spinning their wheels.
One day per week, your reps are spinning their wheels on bad contact data.
They dial a number that went to voicemail two months ago. They email someone who’s no longer at the company. They reach a title that doesn’t match who makes buying decisions. They build rapport with someone who has zero budget authority.
This isn’t just inefficiency. This is a competitive advantage gap disguised as a data problem.
The research is straightforward: reps lose 27.3% of their time to inaccurate contact information.
Let’s do the math.
An SDR makes 130 dials per day. They work 20 days per month. That’s 2,600 dials per month.
If 27.3% of those dials are to bad phone numbers, bad contact info, or wrong titles, that’s 710 wasted dials per month.
At an average of six dials per hour, that’s 118 hours per month. Per rep.
For a team of five SDRs, that’s 590 hours per month. That’s 28 weeks of full-time work wasted on dead ends annually.
At $40,000 per year per rep (fully loaded), that’s $70,000 in annual labor cost wasted on bad data.
For a team of 10 SDRs? $140,000.
That’s not a rounding error. That’s a salary.
Not all data is created equal.
Email addresses and LinkedIn profiles scraped from the web: 65-70% accurate. High volume. Low quality. Prone to being multiple years old.
Phone-verified data: 87% accurate. Someone has called the number in the last 30 days and confirmed it’s live. It’s better but not great.
AI-verified data: 98% accurate. AI calls the number, confirms it’s the right person, updates the title, notes recent job changes. It’s almost human-level verification.
Live research: 100% accurate but expensive. A researcher calls in, confirms the contact, gets additional context. You’re paying $20 per contact.
The sweet spot for most teams: phone-verified data (87% accurate) for initial outreach, then upgrade to AI-verified (98%) for your top 20% of prospects.
Bad data doesn’t just cost time. It costs opportunity.
A rep dials a bad number. Voicemail. They move on.
They don’t know that number was wrong. They think the prospect isn’t interested. They mark them as “no longer interested” in your CRM.
Later, you find out the prospect is actually a perfect fit. But you’ve already moved on.
This happens at scale. Across a team of 10 SDRs, you’re probably losing 100-200 truly qualified prospects per month because your data sucked.
Now think about your AE. They get a meeting from bad data. The person they’re meeting isn’t the decision-maker. They’re not a fit. They don’t have budget authority.
Your AE spends three to four weeks on a deal that was dead on arrival.
That’s pipeline waste. That’s time that could have gone to real deals.
Good data isn’t just efficient. It’s strategic.
Right now, can you answer these questions?
What percentage of your outbound dials are to working numbers? If you don’t know, that’s a red flag.
Of your booked meetings, what percentage are with actual decision-makers vs. gatekeeper conversations? If you don’t track this, you’re flying blind.
How old is your prospect list? If it’s more than 90 days old, it’s degrading. Phone numbers change. People move companies. Titles shift.
What’s the accuracy rate of the data you’re using? Most teams have never checked.
Here’s how to check: take 20 random dials from last week. Call them yourself. How many are actually accurate? Extrapolate that across your entire list.
If you’re below 80% accuracy, you have a data problem.
You need a system.
Data source: start with a list of target accounts (your ICP). LinkedIn Sales Navigator, Apollo, Hunter, or a combination.
Initial verification: use a phone verification tool (like RocketReach or Clearbit) to identify working numbers. Removes the obviously dead contacts.
AI verification: use an AI verification tool (like Seamless or Clearbit AI) to confirm the person is still at the company and in the right role.
Ongoing hygiene: monthly updates to your list. Remove bounced emails. Flag job changes. Update titles.
CRM integration: log every dial outcome. Failed number? Mark it. Got someone on the line? Note their actual role. Booked a meeting? Log it. This data feeds your next outreach.
The system is the flywheel. Better data gets you more accurate dials. More accurate dials get better responses. Better responses feed your CRM. Your CRM tells you what’s working and what’s not. You refine your data strategy.
Let’s be direct about cost.
A good data verification service (phone-verified data): $0.10-0.50 per contact.
AI verification (99% accuracy): $0.50-1.00 per contact.
For a list of 10,000 prospects, that’s $1,000-5,000 upfront.
Compare that to the $140,000 in wasted rep time you’re already spending on bad data.
You’re choosing between spending $3,000 on data quality or losing $140,000 to inefficiency.
It’s not even a choice.
Step 1: audit your current data. Take 20 random dials from last week. Call them. How many are accurate? What’s the actual accuracy rate?
Step 2: if it’s below 85%, you have a data problem. Budget for verification.
Step 3: choose a data verification tool. Most teams use a combination: phone verification for initial filtering, then AI verification for outreach.
Step 4: set up monthly hygiene. Remove bounces. Update titles. Flag job changes.
Step 5: track this metric. Add data accuracy to your monthly sales dashboard. Monitor it like you monitor close rate or pipeline.
Within 30 days of upgrading your data, you’ll see your reps dial less. Reach more actual decision-makers. Book higher-quality meetings.
Your pipeline transforms. Not because your reps got better. Because they’re dialing the right people.
Ready to fix your data? Let’s talk. Book a Call
Your SDRs are making 130 dials a day. They’re running call after call. Your sales team is busy.
And your pipeline is dead.
This happens more than you’d think. Lots of activity. Minimal pipeline output.
The reason isn’t effort. It’s direction.
Here are the five mistakes that kill pipeline before it starts.
ICP stands for Ideal Customer Profile. It’s the company that you sell to best.
Some teams have one. It’s usually vague. “Mid-market SaaS companies with $1-100M ARR.”
Most teams don’t have one. Their SDRs are calling everyone. Financial services companies. Insurance brokers. Real estate firms. Manufacturers. All of them.
Here’s what happens: without an ICP, your SDRs are guessing. They’re calling broadly. They’re reaching a lot of people who aren’t good fits. Your AE gets a meeting with someone who will never buy. You waste two to three weeks on a deal that’s dead on arrival.
The data: companies with a clearly defined ICP see 2.5x higher conversion rates from meeting to deal.
The fix: Write your ICP down. Be specific. Industry. Company size. Revenue. Location. Tech stack. Decision-maker role. What problem do you solve best for this company?
Once you have an ICP, your SDRs only dial people who fit it. Your AE only gets good meetings. Your pipeline gets quality.
Your SDRs are calling. That’s it. That’s your entire outbound machine.
Phone is good. It’s 80% of our dialing mix. But phone alone isn’t enough.
Research from our top quartile SDRs: they use three channels. Phone 80%, email 10%, LinkedIn 10%.
Why? Because not everyone picks up the phone. Some people have their calls screened. Some people get to email before they’re ready for a call.
If you only call, you miss people who engage via email. You miss people who are LinkedIn-active but don’t answer unknown numbers.
The fix: phone first. But add email and LinkedIn to the mix. An email sent the same day as a call attempt gets your reply rate from 3% to 7%. A LinkedIn message gets a response 15% of the time.
Not huge numbers individually. But layered together they compound. One more response per rep per week. Across a team of 10 SDRs? That’s 40 extra conversations per month.
Your SDR calls once. No answer. They send one email. No reply.
They move on.
The research is clear: 50% of closes happen after the fifth touch or later.
Your SDR touching a prospect twice and giving up is leaving half your pipeline on the table.
The fix: implement a follow-up sequence. Touch 1: call attempt. Touch 2: email same day. Touch 3: call attempt four days later. Touch 4: email one week later. Touch 5: LinkedIn message 10 days later.
Most prospects need five touches before they’re ready to engage.
Your SDRs should follow this rhythm automatically. It shouldn’t depend on how motivated they feel that day.
Your SDR has a script. It’s the same for every call.
“Hi [First Name], I know you’re busy but I wanted to reach out real quick. We help companies like yours…”
Every prospect gets the same pitch. You’re calling them. Your product is your product.
Generic messaging has a 1-2% conversion rate on outbound dials.
Personalized messaging that references something specific about the prospect or company has a 4-6% conversion rate.
That’s a 3x improvement. And it comes from specificity, not effort.
The fix: your SDRs need research before the dial. Not deep. Two minutes of research per prospect. Their company’s recent funding. A recent job change. A company announcement. Something specific.
Then the call opens with it: “I saw you just raised Series B. That’s exciting. I called because we work with Series B SaaS companies who are scaling their sales infrastructure.”
Suddenly it’s not a cold call. It’s a conversation. Your conversion rate goes to 4-6%.
This requires discipline. It requires a research step before dialing. But it compounds over time.
Your prospect list is bad. Phone numbers don’t work. Titles are wrong. People have moved companies.
Your SDRs spend half their time dialing dead ends.
The data: reps lose 27.3% of time to bad contact data. That’s one full day per week.
The fix: invest in data quality. Phone-verified data is 87% accurate. AI-verified data is 98% accurate.
Bad data costs you time. Good data costs you money upfront but saves you time every day.
Do the math: a rep makes 130 dials per week. 27.3% of that is 36 dead dials. That’s three to four hours of wasted time.
Over a year, that’s 150+ hours of wasted time per rep.
For a team of 10 SDRs, that’s 1,500 hours. At $40/hour fully loaded, that’s $60,000 in wasted time.
Spending $5,000 to clean your data saves you $60,000 in rep time. That’s ROI.
Look at your current outbound program.
Do you have a written ICP? Can you show me the document?
Are your SDRs calling only? Or using email and LinkedIn too?
What’s your average touch count before you mark someone as “no longer interested?”
When your SDRs call, are they using a generic script or personalizing based on research?
What’s the accuracy rate of your phone numbers? Do you know?
If you’re making three or more of these mistakes, you’re not doing outbound. You’re doing outbound theater.
Looks busy. Zero results.
Pick one mistake to fix first. Most teams should start with mistake 1 (ICP) or mistake 5 (data quality). Those two create the foundation for everything else.
Fix the foundation. Then layer in the other changes.
You’ll watch your pipeline transform. Same team. Better direction.
Ready to build outbound that actually works? Let’s talk. Book a Call
Your company is about to hire an SDR. You have a training plan. It’s two weeks of onboarding. Product deep-dive. Process overview. Maybe some call shadowing.
Then they hit the phones.
You’ve just made a critical mistake. And you won’t realize it for six months.
Here’s the data: most SDRs take four to six months to reach full productivity. That’s the benchmark. Four to six months before they’re booking meetings at the same rate as a tenured rep.
But most companies provide two weeks of training.
Do the math. Two weeks of structured support out of a 24-week ramp. That’s 8% of their ramp time. The other 92% happens without a plan. Without structure. Without daily coaching.
That’s not a training plan. That’s abandonment.
Your SDR ramp has four phases.
Your new rep needs to know what you sell. Not the pitch. The actual product. How it works. What problems it solves. What you don’t do.
Most companies do this well. Martech team or product team runs them through the product. They sit in customer demos. They take notes.
This is necessary but insufficient. Product knowledge is table stakes.
Now they need to learn your process. Your sales framework. Your CRM workflow. Your email templates. Your call script. Your objection handling.
This is where things start to break. Most companies have a process. It’s usually documented somewhere. It’s usually incomplete and outdated.
Your new rep needs to learn: how to research a prospect (your specific company’s way), how to dial (your specific CRM), how to take notes, how to log meetings, how to send follow-ups.
This usually takes two to four weeks of focused work. Not self-service learning. Actual practice with feedback.
Now they’re on the phone. But not alone. Not yet.
Phase 3 is where most companies fail. Their new rep gets a “go dial” nudge at the end of week 4. They’re on their own. They’re making calls but nobody is listening. Nobody is coaching. Nobody is giving feedback.
The right approach: they’re on calls but a manager is monitoring. After each call (or every five calls), there’s a two-minute debrief. “Here’s what you did right. Here’s what to adjust.” They practice the adjustment on the next call. They see it work. They learn.
This phase should take 4 to 8 weeks depending on call volume and coaching intensity.
Now they’re dialing on their own. But their manager is still reviewing notes. Still watching trends. Still coaching weekly.
This is where they move from “doing the process” to “owning the results.” They’re hitting their dials. They’re starting to get meetings. They’re starting to feel like an SDR.
This phase is another 8 weeks of structured support.
Most onboarding programs stop at the end of Phase 1. Maybe they peek into Phase 2.
Then they push the new rep onto the phones.
What happens next:
Week 3: They’re dialing but they’re slow. They don’t know the CRM. They’re reading their notes off a script. Nobody is listening to their calls. They don’t know if they’re doing it right or wrong.
Week 4: Their confidence is dropping. They’ve made 500 dials and booked 0 meetings. They’re wondering if they can do this job.
Week 5: They’re starting to doubt. They’re not getting feedback. They don’t know what to change.
Week 6: They’re not making their dials. They’re low. Or they’re making dials but they’ve invented their own process because nobody told them the right one.
Week 8: They’re thinking about quitting.
Month 3: They finally hit a meeting. Then another. They’re starting to understand. But they’ve lost two months of momentum. They’ve learned the wrong habits. They’re in catch-up mode.
Month 4-6: If they stick it out, they finally hit a rhythm. But the damage is done. They’re going to be a mediocre rep because they spent two months figuring it out alone.
You need a structured 90-day plan.
Your new rep is immersed in product. They shadow customer demos. They read case studies. They listen to calls where the product solved a problem. They understand the value prop cold.
By day 10, they can explain what you do without a script.
Now they’re learning your process. How you find prospects. How you dial. How you qualify. Your framework. Your CRM. Your templates.
They’re not on calls yet. They’re role-playing with a manager. They’re watching recordings of your top rep. They’re practicing objection handling. They’re building muscle memory in the CRM.
By day 25, they can execute your process with eyes closed.
Now they’re on the phones. But every call is monitored. After every five calls there’s a debrief. Manager gives feedback. Rep adjusts on the next call.
They’re not expected to book meetings. They’re expected to dial. To be present. To execute the process. To learn from feedback.
By day 60, they’re dialing confidently. They’re starting to understand which prospects are likely to move forward. They’ve hit 10-15 meetings. They’re hooked.
Now they’re dialing on their own. But their manager is still reviewing their work. Still doing weekly coaching. Still tracking their metrics.
They’re expected to hit their activity targets. They’re starting to own their results.
By day 90, they’re a functional SDR. Not yet a great one. But functional. Ready to ramp to full productivity over the next month or two.
Companies that run a structured 90-day ramp get:
Companies that run a two-week ramp get:
Do the math on cost. A new SDR costs you: salary (let’s say $40K), benefits, equipment, management time, tools.
All-in, a new hire costs you roughly $60K to hire and first-year support.
If you lose them in month 4 because you didn’t coach them through the ramp, you’ve spent $60K for four months of output. That’s $180K per year in turnover cost.
If a structured 90-day ramp costs you 40 hours of manager time and some template-building, you’re investing maybe $3-5K in the ramp. And you save $60K in turnover cost.
It’s not an investment. It’s math.
Here’s how to check.
Ask yourself: do you have a documented 90-day ramp plan? Not “how we usually onboard people.” A written plan. With milestones.
Does it cover all four phases: product, process, shadowing, independent?
Is there a daily plan for the first 10 days? Or is it “here’s a folder of stuff to read?”
Who is responsible for each phase? Product manager? Manager? A buddy?
When does the new rep get their first feedback? Day 3? Day 15? Day 30?
How many hours per week does a manager spend coaching this new rep in months 1-3?
If you can’t answer these questions with a document, your ramp doesn’t exist. You’re hoping new reps figure it out.
And you’ll keep losing them at month four.
Write down your four-phase ramp. Weeks 1-2: product. Weeks 3-4: process. Weeks 5-8: shadowing. Weeks 9-12: independent.
For each phase, write down the specific activities. The milestones. The success metrics.
Assign ownership. Who runs phase 1? Who coaches phase 3?
Document your process so it’s teachable, not intuitive.
Then hire a rep and run the ramp. Track their metrics week by week. Month by month.
You’ll see the difference. A ramp that works doesn’t cost more. It costs less. And it keeps your best people.
Ready to build a ramp that sticks? Let’s talk. Book a Call
The best SDR we ever hired had zero sales experience.
They’d worked in retail. In fast food. Absolutely no enterprise software background. No quota responsibility. No CRM experience.
But they booked 15 meetings their first month.
So what did they have that your top candidate with five years of sales experience doesn’t?
They had the five traits that actually matter in outbound.
An SDR makes 130 dials a day. They get hung up on. They get told “no.” They get marked as spam.
The number: a rep at your top quartile gets rejected 85-90% of the time on first contact.
That’s not failure. That’s the job.
Someone with five years of Enterprise Software Sales experience has been heavily filtered for people who can close warm leads. They’re used to inbound. They’re used to “interested” prospects.
Outbound is different. It’s a constant stream of “not interested” until something sticks.
You need someone who doesn’t take it personally. Who sees 10 “no’s” and doesn’t spiral. Who moves to call 11 without drama.
How to test it: Ask them about their worst failure. Not their biggest loss in sales. Their worst failure, ever. Someone with real rejection resilience will tell you a story. They’ll laugh. They’ll tell you what they learned.
Someone who hasn’t internalized rejection will talk around it. They’ll minimize it. They’ll try to spin it as a win.
Your SDR needs to go from “cold list of 200 names” to “ready to dial 20” in 30 minutes.
That means pulling company info off LinkedIn. Identifying the right person to call. Finding their phone number. Noting any recent news. Building rapport angles. All in minutes.
Someone who has spent five years dialing warm leads has never had to do this. They might not even know how.
Someone young, native to the internet, comfortable with five browser tabs at once: they can do this. They’ve Googled their way through life.
How to test it: Give them a list of 10 company names (real prospects you’re targeting). Tell them they have 20 minutes to pull: company description, recent funding or news, the VP of Sales name, their phone number, one piece of relevant info about the company.
A rep with research speed gets seven to nine of them right. Someone slower gets three or four. Someone with Enterprise Software Sales background probably doesn’t even finish.
Outbound conversations are weird. You cold call someone. You have 30 seconds before they hang up. You need to pivot fast. You need to sound like a human, not a script. You need to roll with objections.
A lot of Enterprise Sales reps have been trained in rigid call frameworks. Discovery first. Qualification second. Close third. It’s beautiful structure for warm leads.
It dies on cold calls.
Conversational agility means you can start a conversation, read the room, adjust on the fly. You can use humor. You can ask weird questions. You can derail your own pitch if it’s not landing.
The best outbound reps sound like they’re having a conversation with a friend, not reading a script. Even though they’re loosely following a framework.
How to test it: Have them run a mock cold call with you. Resistance included. Tell them your role. Give them one thing: the company size. Nothing else. Let them go. They should adapt. They should sound natural. They should make you want to stay on the call even though you said “no.”
Outbound is a numbers game with visible scoreboards.
Dials per day. Meetings per week. Talk time. Response rate. Win rate. Everything is measured.
Some people love this. They see the scoreboard and they want to be number one. They want to beat the person next to them.
Some people hate it. They find it stressful. They interpret it as judgment.
You need people who love it.
Competitive drive doesn’t mean cocky. It means they want to improve their numbers. They want to know how they stack against their peers. They’re self-motivated by progress.
How to test it: Ask them about a time they tried to be the best at something. An athletic team. A video game ranking. A class grade. A metric at their old job. Real competitors have stories. They might be small (nerded out on a metric at their retail job), but they have examples of trying to win.
Your SDRs will fail. A lot. They’ll dial poorly. They’ll mess up calls. Their messaging will suck.
You need them to hear feedback and change. Not get defensive. Not argue. Just change.
Real coachability means: you give feedback, they say “got it,” they implement. Next call is better.
Fake coachability sounds like: “Yeah I know. I got it. I’ll do better.” But the next call is identical.
A lot of Senior Sales people have become senior because they were right. They have their system. They’ve sold millions. They’re not used to being coached.
An SDR should be the opposite. They should be hungry to know what they’re doing wrong.
How to test it: Tell them one thing they got wrong in the mock call. Watch their reaction. Do they immediately ask “how do I fix that?” or do they explain why they did it that way?
Five years of sales experience usually means:
None of those skills transfer to cold outbound. And worse, the frameworks actively interfere.
You end up with someone who’s slow to dial, rigid on calls, frustrated that they’re not closing, and resentful about rejection.
The kid with zero sales experience but high rejection resilience, research speed, conversational agility, competitive drive, and coachability? They’re ready. They learn fast. They adapt.
Look at your last three hires.
Can you tell me one story from each person that demonstrates rejection resilience? Not “they handled an objection well.” Actual, deep rejection. And they moved forward.
Did you test their research speed? Or did you assume they’d figure it out?
Did they run a mock call in front of you? Or did you hire them based on resume and reference calls?
Do you know their competitive drive? Are they the type who checks their stats daily or checks once a week and shrugs?
Can you point to a time in your hiring process where you coached them on something and they immediately changed their behavior?
If you can’t answer these, you’re probably hiring for titles and experience instead of traits.
Stop hiring for years of sales experience. That’s not a signal. That’s noise.
Hire for the five traits. Run your candidates through the tests above. Ask the questions. Watch them perform.
You’ll find your next great SDR. They might not have “enterprise software” on their resume. They might have stocked shelves or coded for a startup or managed a team at a restaurant.
Traits beat resume every time.
Ready to build your outbound team? Let’s talk. Book a Call