GMass Case Study: How an SDR Booked 30 Meetings in 30 Days

This GMass case study documents how an outbound SDR at a B2B SaaS company booked 30 qualified meetings in 30 days using GMass at $20/mo billed annually ($29.95 month-to-month), sending 1,200 cold emails at 200 per day to a curated 1,200-prospect list. Setup took 4 hours total. The case demonstrates what disciplined ICP targeting, a tested 3-step follow-up sequence, and GMass Spam Solver inbox optimization can achieve at solo-SDR scale.

Who Was the SDR and What Was the Pre-Campaign Baseline?

The SDR in this case is a 2-year experienced outbound rep at a Series A B2B SaaS company selling marketing analytics software with an $800 to $2,400 monthly ACV. Pre-campaign baseline was 8 to 12 meetings per month from manual Apollo prospecting, LinkedIn Sales Navigator, and one-off Gmail sends. Tripling output required removing the manual send bottleneck entirely.

Manual outbound at the pre-campaign baseline consumed 2 to 3 hours daily on individual email drafting and follow-up reminders. The SDR tracked prospects in a Google Sheet but lacked sequence automation : follow-up depended on calendar reminders that frequently slipped during high-activity weeks. The constraint was operational capacity, not pipeline quality. For context on the cold email tool that changed the workflow, see our complete GMass review for SDRs.

“A sales development representative (SDR) is a type of salesperson who focuses on outreach, prospecting, and lead qualification, typically tasked with booking meetings for account executives rather than closing deals.”

: Wikipedia, Sales development representative

The starting context matters for replication: the SDR was experienced but constrained by manual workflow that capped output at 12 meetings monthly. The 30-meetings goal required removing manual bottlenecks, not changing the underlying ICP or message strategy that was already generating positive replies.

What Math Made 30 Meetings in 30 Days Realistic from Day 1?

Working backward from 30 meetings: at a 2.5 percent meeting-booked rate, 30 meetings required 1,200 emails. At 200 emails per day, 6 days a week, the goal completed in 4 weeks. The constraint was prospect list quality at 1,200 ICP-qualified contacts, and template-fit validation in week 1 before scaling to full volume across the remaining 3 weeks.

1. Reply-to-meeting rate: 25 to 30 percent industry benchmark for B2B outbound qualifying inbound interest. Lower with mixed reply quality; higher with tight ICP and specific offer matching the prospect’s active pain point.
2. Meeting-booked rate: 2 to 3 percent calculated from 8 to 10 percent reply rate multiplied by 25 to 30 percent reply-to-meeting conversion. Industry benchmark range for targeted B2B SaaS outbound sequences.
3. Prospect list completion: 1,200 ICP contacts over 30 days required sourcing 40 new contacts per day from Apollo plus LinkedIn Sales Navigator. Two hours of daily prospecting completed the full list in the same 30-day window as sends.
4. Daily send volume: 200 emails per day across 6 days per week stays well within the 2,000-per-day Gmail Workspace limit. Staying under capacity preserves sender reputation while maintaining full campaign pace.
5. Week one validation: Week 1 with 300 emails serves as template-fit validation before committing the full list. Meeting rate below 1 percent in week 1 signals ICP or template problem requiring adjustment before scaling further.

The math forces honesty. If reply rate misses the 8 percent assumption by 30 percent, the 30-day campaign produces 21 meetings instead of 30. The numbers are aggressive but achievable for SDRs at companies where ICP fit is tight and the offer addresses a specific, budget-allocated pain point.

Why Did This SDR Pick GMass Over Mailshake or Outreach?

Three reasons GMass beat alternatives: cost at $20/mo billed annually ($29.95 month-to-month) versus Mailshake $58 and Outreach $100-plus per user, Gmail-native sending with no IP warming required on day 1, and Spam Solver inbox optimization unique to GMass. For a solo SDR running outbound from Gmail, GMass had the fastest setup-to-first-send time of the three. Mailshake and Outreach scale better at 5-plus rep deployments.

The decision was clear at solo-SDR scale: GMass at one-third the cost, Gmail-native deliverability ready from day 1 with no warm-up period, and Spam Solver unique to the tool. For a full feature and price breakdown, see our GMass vs Mailshake comparison. Mailshake and Outreach require team scale to justify per-user pricing structures.

How Was the 4-Hour Setup Distributed Across Tools and Tasks?

Four hours total split across prospect list build at 90 minutes in Apollo plus LinkedIn Sales Navigator for 1,200 ICP contacts, template creation at 60 minutes for 1 base template plus 2 follow-up variants, Google Sheet preparation at 30 minutes to import contacts with merge fields, and GMass install plus test batch at 60 minutes.

1. Prospect list task: Apollo filters by industry (B2B SaaS), role (Marketing Manager and above), company size (50 to 500 employees), and recent Series A or later funding signal. Cross-checked against LinkedIn Sales Navigator for current role accuracy. Exported 1,200 contacts to CSV.
2. Template creation task: Wrote 1 base 80-word template with custom hook, relevance bridge, offer, and meeting ask. Added 2 follow-up variants at Day 4 (50 words, value-add insight) and Day 9 (40 words, binary yes-or-no CTA). Tested language against 10 prospect LinkedIn profiles before writing.
3. Google Sheet task: Imported CSV. Added columns for {FirstName}, {Company}, and {CustomHook}. Wrote custom hook for each prospect using a 10-second LinkedIn profile scan referencing a recent post or company news mention to personalize the base template.
4. GMass install task: Chrome extension install took 60 seconds. Gmail authorization took 60 seconds. Sheet connection required selecting the prospect tab and mapping columns to GMass merge tags. Entire tool configuration completed in under 15 minutes after install.
5. Test batch task: Sent 20 emails to a small test list to verify merge tags rendered correctly, Spam Solver found no critical trigger phrases, and first reply arrived in GMass dashboard within expected time. Live 200-email first batch launched after test batch confirmed.

Four hours of setup created infrastructure that supported 30 days of campaign sends with zero additional configuration time. The biggest time investment was prospect list quality in the Apollo plus LinkedIn export, which directly determined the reply rate ceiling for the entire campaign.

What Did the Week-by-Week Performance Curve Actually Look Like?

Week 1: 300 emails, 24 replies at 8 percent, 6 meetings booked. Week 2: 300 emails, 27 replies at 9 percent, 7 meetings. Week 3: 300 emails, 31 replies at 10.3 percent after template split-test refinement, 8 meetings. Week 4: 300 emails, 32 replies at 10.7 percent, 9 meetings. Total: 1,200 emails, 114 replies at 9.5 percent, 30 meetings at 2.5 percent meeting-booked rate.

“B2B cold email campaigns with personalized subject lines and multi-touch follow-up sequences consistently outperform single-touch sends, with reply rates for well-targeted sequences reaching 8-12 percent compared to 1-5 percent for single-touch generic outreach.”

: HubSpot, Cold Email Statistics and Benchmarks

“SDR cold email campaigns powered by Gmail-native tools consistently outperform shared-IP SMTP senders on inbox placement : deliverability architecture is the hidden variable separating top and bottom SDR teams at equivalent message quality.”

: Growth Hack Suite, Complete GMass Cold Email Review

The reply rate climbed week-over-week as template refinements compounded. The week 3 split-test winner was adopted and the week 4 addition of a recent-news hook drove the 50 percent meeting lift from week 1 to week 4. Template iteration is the compounding variable that distinguishes 6-meetings-per-week SDRs from 9-meetings-per-week SDRs at equal send volume.

What Were the Exact Email Template and Follow-Up Sequence That Worked?

The base template ran 80 words: 1-sentence custom hook from LinkedIn, 1-sentence relevance bridge, 1-sentence offer, and 1-sentence meeting ask. Follow-up 1 at Day 4 ran 50 words with a value-add insight. Follow-up 2 at Day 9 ran 40 words with a binary yes/no question. The 3-step sequence over 9 days drove a 9.5 percent reply rate versus a 4 percent single-touch baseline.

• Day one template: Subject: “Quick question for {FirstName} at {Company}.” Body: custom hook referencing prospect’s LinkedIn activity or company news (20-25 words), relevance bridge to pain point (20-25 words), offer description with a comparable result, 15-minute meeting ask for this week or next.
• Day four follow-up: Subject: “Re: Quick question for {FirstName}.” Body: 1-sentence acknowledgment of busy schedule, 1-sentence value-add referencing an industry data point relevant to the prospect’s role, soft ask “worth 10 minutes to explore?” GMass pauses this touch on reply detection automatically.
• Day nine final touch: Subject: “Last note, {FirstName}.” Body: 1-sentence final outreach acknowledgment, binary question “open to a chat, or should the loop close here?” Forces a yes, no, or silence response that surfaces genuine interest without pressure or aggression.
• Reply rate contribution: Day 1 accounted for 52 percent of replies. Day 4 follow-up added 31 percent. Day 9 final touch contributed the remaining 17 percent. Without follow-ups, the campaign would have produced 59 replies instead of 114 : nearly half the result.
• Sequence automation: GMass scheduled Day 4 and Day 9 follow-ups automatically at campaign setup. Reply detection paused follow-up sends for any prospect who responded, preventing over-contact from reaching interested prospects already in the qualification conversation.

The 3-step sequence over 9 days drove the 9.5 percent reply rate. Single-touch cold email industry average sits at roughly 4 percent. The 137 percent reply rate lift from the follow-up sequence is the single most replicable and highest-leverage element of the entire GMass case study playbook.

What Was the Cost per Meeting and the ROI for the SDR Team?

Total campaign cost: $20 GMass tool plus approximately $1,500 in SDR loaded labor for 60 hours at $25 per hour equals $1,520 total. Cost per booked meeting: $50.67. At $1,600 average ACV and 25 percent meeting-to-close rate, 30 meetings generated an expected $12,000 in new ARR representing an 8x ROI on total campaign cost over a 12-month horizon.

• GMass tool cost: $20/mo billed annually ($29.95 month-to-month), the single line-item tool cost for the entire 30-day campaign. Negligible relative to SDR labor but significant when compared against $58 to $100 alternative tool costs at the same output volume.
• SDR labor cost: 60 total hours at $25 per hour loaded rate including benefits and overhead. Breakdown: 4-hour setup plus 30 days at 2 hours daily for sending, reply qualification, and meeting confirmation. Total labor: $1,500.
• Total cost per meeting: $1,520 total campaign cost divided by 30 booked meetings equals $50.67 per qualified meeting. B2B SaaS outbound industry benchmark for cost per booked meeting ranges from $40 to $120 per meeting.
• Expected ARR return: 30 meetings multiplied by 25 percent meeting-to-close rate multiplied by $1,600 average ACV equals $12,000 expected new ARR. The 8x ROI calculation assumes 12-month customer lifetime and standard B2B SaaS close rate for targeted outbound.
• ROI ratio summary: $12,000 expected ARR divided by $1,520 total campaign cost equals 7.9x ROI, rounded to 8x. Favorable against B2B SaaS outbound norms of 4x to 6x ROI for comparable ACV range and send volume during 30-day campaigns.

The $50.67 cost per meeting sits in the lower-middle of B2B SaaS outbound benchmarks at $40 to $120. For SDR teams at companies with $800-plus ACV, the math consistently supports continued investment in GMass-driven outbound at solo and small-team scale.

When Will This 30-Meeting Result Replicate and When Will It Not?

The 30-meeting result replicates when ICP is tight (specific industry, role, and company size), ACV is above $800 monthly, and the offer addresses a defined pain point. Fails when ICP spans 60-plus industries, product fits every buyer broadly, or templates skip per-prospect hooks. Achievable for roughly 40 to 50 percent of B2B SaaS SDR setups meeting the prerequisites above.

Three scenarios where this result fails to replicate: commodity product with no specific differentiation (buyers cannot distinguish offer from competitors and reply interest stays low regardless of ICP fit), overly broad ICP of 60-plus industries (makes per-prospect custom hooks impractical, reducing average reply rate to 4 to 5 percent closer to single-touch baseline), and low ACV under $500 per month (SDR labor at $1,500 per 30-day campaign produces negative ROI at $25 per meeting expected return for 30 meetings). If ICP is tight and ACV justifies the labor cost at a 3x minimum return threshold, 25 to 35 meetings in 30 days is the honest expectation. Below those conditions, 10 to 15 meetings is realistic from the same effort and tool investment.

Replication probability splits roughly 50/50 across SDR setups. Tight ICP plus $800-plus ACV produces the full result. Broad ICP plus commodity product struggles regardless of tool or template quality. Honest framing helps SDRs self-qualify before committing 30 days of labor to the full playbook.

What Would the SDR Do Differently if Running the Campaign Again?

Five lessons emerged from the 30-day run: starting template A/B testing in week 1 instead of week 3 would add 2 to 3 weeks of compounding improvements, batching prospect list build in week 0 avoids split focus during sends, enabling Spam Solver on day 1 adds 5 percentage points inbox placement in week 1, and scheduling follow-ups only Tuesday-Thursday lifts reply rates measurably.

• Template A/B lesson: The 50 percent meeting lift from week 1 to week 4 came primarily from template refinement. Starting the split-test in week 1 rather than week 3 would compound the improvements across 4 full weeks rather than just weeks 3 and 4.
• List build lesson: Parallel prospect list building alongside active sending in weeks 1 and 2 split focus between sourcing quality and template iteration. Week 0 dedicated entirely to list build would keep weeks 1 through 4 focused on send execution and optimization.
• Spam Solver lesson: Spam Solver was not enabled until day 4. Week 1 inbox placement measured at 85 percent versus 91 percent in weeks 2 through 4. Day 1 enablement would have added an estimated 4 to 5 additional meetings to the 30-day total based on inbox placement lift alone.
• Send schedule lesson: Monday and Friday follow-up reply rates dropped 20 percent versus Tuesday through Thursday sends. Calendar-aware sequence scheduling restricted to midweek days would lift the 9.5 percent reply rate by an estimated 0.8 to 1.2 percentage points.
• Backup templates lesson: By week 3 the base template felt repetitive from the SDR’s perspective during writing and qualification review. Having 3 base variants available for rotation reduces template fatigue and maintains fresh ICP-specific hook quality across all 4 weeks.

The 5 optimizations applied together could have pushed the 30-meeting result to 38 to 42 meetings in the same 30 days without changing the ICP, GMass tool, or core value proposition. Most of the additional lift comes from earlier A/B testing and day-1 Spam Solver enablement, both available at zero additional cost within the existing $20 GMass Standard plan.

How Do You Replicate the 30-Meeting Campaign in Your Own Workflow?

Five steps replicate the GMass case study: confirm ICP qualifies with tight industry plus role plus $800-plus ACV, build a 1,200-prospect list in week 0, write 1 base template plus 2 follow-ups using the 80-50-40 word structure, install GMass and connect Google Sheet in 4 hours, execute 200 emails per day for 4 weeks with weekly template refinement each Friday.

1. ICP qualification step: Verify the product targets a tight industry plus role plus $800-plus ACV profile. Broad ICP or commodity products will not generate 30 meetings from this playbook. Self-qualify against the 3 fail conditions above before committing 30 days of labor.
2. List build step: Apollo plus LinkedIn Sales Navigator filters by specific industry, role, company size, and funding stage. Cross-check role accuracy against LinkedIn current position. Export to CSV. List quality determines the reply rate ceiling for the entire campaign.
3. Template writing step: Follow the 80-word base structure: custom hook from LinkedIn (20-25 words), relevance bridge to defined pain (20 words), offer with a comparable result (20 words), 15-minute meeting ask (10-15 words). Add Day 4 (50 words) and Day 9 (40 words) follow-ups. Test against 10 prospect profiles before launch.
4. GMass install step: Chrome extension install in 60 seconds, Gmail authorization in 60 seconds, Google Sheet connection with column mapping in 15 minutes. Enable Spam Solver on day 1. Run a 20-email test batch to verify merge tags and inbox placement before live campaign start.
5. Daily execution step: Send 200 emails per day Monday through Saturday. Every Friday afternoon: review week reply rate, run split-test on 1 subject line or 1 hook variation, adopt winner for the following week. Compounding template improvements drive the week-over-week meeting lift observed in this case.

The 5-step replication is faithful to the GMass case study workflow. Execution discipline matters more than tool choice. Sending 200 emails per day Monday through Saturday for 30 days with consistent Friday template refinement is the hardest operational requirement for most solo SDRs who lack a structured daily outbound routine.

How Does GMass Sequence Automation and Reply Detection Work in Practice?

GMass automates the 3-step follow-up by scheduling Day 4 and Day 9 emails at campaign setup. Reply detection pauses all follow-ups when a prospect responds, preventing over-contact. The automation ran the full 30-day campaign without manual intervention after initial sequence setup. This automation is what makes 200 emails per day sustainable for a solo SDR managing parallel reply qualification.

• Sequence scheduling: GMass schedules Day 4 and Day 9 follow-up sends at the time the initial campaign launches. Each follow-up inherits the original prospect’s email thread, ensuring reply-chain context that mirrors a manual follow-up workflow for recipients.
• Reply detection: GMass monitors the Gmail inbox for replies from campaign recipients. Detection runs in real time. When a reply arrives, GMass marks the prospect as replied and halts all future scheduled follow-up emails to that contact automatically without manual intervention.
• Follow-up pause: Pause-on-reply prevents a prospect already in qualification conversation from receiving Day 9 final touch email. Without this feature, SDRs managing 200-email-per-day sequences would generate awkward over-contact with interested prospects responding to the original message.
• Open tracking: GMass tracks opens via pixel on each email touch. Open rate on follow-ups ran 4 to 5 percent lower than Day 1, confirming inbox triage degradation on subsequent touches. Day 4 open rate stayed above Day 9, validating the 3-touch sequence over a longer sequence.
• Campaign metrics: GMass dashboard shows per-campaign open rate, reply rate, click rate, and bounce rate in real time. The SDR reviewed metrics each Friday to inform the weekly template refinement decision, using reply rate as the primary optimization signal.

Sequence automation and reply detection are the two GMass features that convert a 4-hour setup into a 30-day self-running campaign. Without automation, the same 1,200-email campaign with 3-step follow-up would require 30 to 45 additional hours of manual follow-up scheduling to replicate the same contact cadence.

What ICP Profile Characteristics Are Required to Hit 30 Meetings in 30 Days?

Three ICP characteristics drove the 30-meeting result: company size at 50 to 500 employees at Series A or later, role authority at Marketing Manager and above with budget control, and industry fit at B2B SaaS with active growth mandate. Removing any one characteristic degrades reply rate 3 to 5 percentage points. All three together produce the 2.5 percent meeting-booked rate in this case.

• Company size filter: 50 to 500 employees at Series A or later funding stage. Below 50 employees the marketing budget is typically insufficient for $800-plus monthly ACV. Above 500 employees procurement processes lengthen the sales cycle beyond 30-day campaign expectations.
• Role authority filter: Marketing Manager and above with direct budget authority. Director and VP roles replied at 11.8 percent versus 7.1 percent for Manager level in this campaign. Budget authority reduces the reply-to-meeting conversion time by eliminating internal approval cycles.
• Industry vertical filter: B2B SaaS companies with growth marketing as a core function. Marketing analytics software has specific relevance to SaaS growth teams. Targeting a single vertical enables highly specific custom hooks that lift reply rate versus multi-industry prospecting at lower hook specificity.
• ACV threshold: $800 minimum monthly ACV to justify SDR labor cost at the $50.67 cost-per-meeting benchmark. Below $400 monthly ACV the 8x ROI assumption breaks and the cost-per-meeting economics require a much higher meeting-to-close rate to remain positive.
• ICP score verification: Before launch, manually review 20 to 30 prospects against all 4 ICP filters. Any batch where fewer than 80 percent pass all 4 filters indicates a list quality problem that will produce 30 to 40 percent lower reply rates than the benchmark case achieved.

ICP tightness is the single variable with the highest leverage in this playbook. The template, the tool, and the sequence are replicable in 4 hours. A tight ICP takes weeks to define and validate. The SDR in this case spent 3 weeks pre-campaign refining the ICP filter before building the 1,200-contact list used for the 30-day run.

How Does This GMass Case Study Compare to B2B Cold Email Benchmarks?

This case result of 2.5 percent meeting-booked rate and $50.67 cost per meeting compares favorably to published B2B SaaS outbound benchmarks. Industry average meeting-booked rate from cold email runs 1.5 to 3 percent. Average cost per booked meeting across outbound channels runs $40 to $120. The GMass case sits in the second-best quartile on both metrics at the same time.

• Reply rate comparison: 9.5 percent reply rate exceeds the 4 to 6 percent industry average for cold email sequences and the 7 to 9 percent average for well-targeted multi-touch sequences. The 9.5 percent result places the campaign in the top quartile for B2B SaaS outbound reply performance.
• Meeting-booked rate comparison: 2.5 percent meeting-booked rate from cold emails sits above the 1.5 to 2 percent average for generic B2B outbound. Tight ICP targeting combined with 3-step follow-up automation accounts for the performance premium over broad-ICP campaigns at comparable send volumes.
• Cost per meeting comparison: $50.67 per booked meeting sits in the lower-middle of the $40 to $120 B2B SaaS outbound benchmark range. Primary cost driver is SDR labor at $1,500, not the GMass tool at $20. Alternative tools at $58 or $100-plus would have increased cost per meeting to $63 or $83 at the same labor rate.
• ROI comparison: 8x ROI on total campaign cost compares favorably against B2B SaaS outbound benchmarks of 4x to 6x ROI for comparable ACV range. The GMass tool cost advantage ($20 vs $58-$100 alternatives) contributed directly to the above-benchmark ROI ratio observed in this case.
• Tool cost benchmark: GMass at $20/mo versus Mailshake at $58 and Outreach at $100-plus means the tool line-item contributes $1, $38, or $80 respectively per meeting at 30-meeting output. GMass’s tool cost represents 1.3 percent of total campaign cost versus 12.9 percent for Mailshake at the same labor rate.

The benchmark comparison confirms the case is a high-performing result, not an exceptional outlier. The combination of tight ICP, 3-step follow-up sequence, and Gmail-native deliverability positions this result above the median but within the top-quartile range for B2B SaaS outbound campaigns at similar send volume and ACV parameters.

SDR 30-Meeting Case Study: Frequently Asked Questions

How realistic is 30 booked meetings in 30 days for an SDR? ​

Realistic for SDRs with tight ICP, ACV above $800 monthly, and disciplined execution at 200 emails per day 6 days a week with a 3-step follow-up sequence. Aggressive but achievable for 40 to 50 percent of B2B SaaS SDR setups meeting the ICP prerequisites. Broader ICP or commodity products typically produce 10 to 20 meetings from the same effort and tool.

What tool did the SDR use in this GMass case study? ​

GMass Standard at $20/mo billed annually ($29.95 month-to-month) for unlimited Gmail-native cold email campaigns, 3-step follow-up automation, Spam Solver inbox optimization, and reply tracking. Setup took 90 seconds for tool configuration after Chrome extension install. The Google Sheet-to-Gmail connection ran the entire 30-day campaign without additional configuration.

How much did the 30-meeting campaign cost in total? ​

$20 for GMass tool plus roughly $1,500 in SDR loaded labor at 60 hours for setup, sending, and qualification equals $1,520 total. Cost per meeting: $50.67. At average $1,600 ACV and 25 percent close rate, expected new ARR from 30 meetings equals $12,000 representing an 8x ROI on total campaign cost over a 12-month horizon.

How long did setup take before sending the first campaign? ​

4 hours total: prospect list build 90 minutes, template creation 60 minutes, Google Sheet preparation 30 minutes, and GMass install plus 20-email test batch 60 minutes. Setup created campaign infrastructure that supported all 30 days of sending with zero additional configuration time after the initial 4-hour block was complete.

What reply rate did the SDR achieve and how does it compare to industry? ​

9.5 percent reply rate across 1,200 cold emails (114 total replies). Industry average for single-touch cold email is roughly 4 percent. Multi-touch 3-step sequences typically lift reply rate 50 to 65 percent over single-touch sends. The 9.5 percent result matches top-quartile B2B SaaS outbound SDR sequence performance for targeted ICP lists.

Did GMass Spam Solver actually impact inbox placement? ​

Yes. Spam Solver flagged 9 trigger phrases in the original template that Gmail and SpamAssassin filters historically flag. Rewriting those phrases lifted inbox placement to 91 percent during weeks 2 through 4. Week 1 inbox placement before Spam Solver activation measured 85 percent. The 6-point lift added an estimated 4 to 5 additional meetings across the 30-day campaign.

Why use Gmail-native sending instead of dedicated cold email infrastructure? ​

Three reasons: zero IP warming time so the campaign launched on day 1, Gmail-native inbox placement that inherits Google’s trust signals with recipient email providers, and cost at $20/mo versus $58 to $100-plus for SMTP-based platforms. For solo SDRs sending under 2,000 emails daily, Gmail-native architecture wins on speed-to-first-meeting and deliverability reliability.

What ICP profile worked best for this 30-meeting result? ​

Marketing Manager and above at Series A-plus B2B SaaS companies with 50 to 500 employees in US and UK markets with active growth or marketing analytics roles. The tight industry plus role plus company size filter generated 1,200 contacts in 30 days at high reply quality. Broader ICP targeting would require a longer list build and produce lower reply rate performance.

Can a solo SDR replicate this without engineering or RevOps support? ​

Yes. The case study workflow runs entirely on GMass plus Google Sheets plus Apollo or LinkedIn Sales Navigator. No engineering, no RevOps, and no Zapier required. A solo SDR can install, configure, and execute the full 30-day campaign without internal support. The operational constraint is SDR time discipline at 2 hours daily, not tooling complexity.

Bottom line: Fully solo-replicable on GMass + Sheets + Apollo. No engineering or RevOps required. Time discipline at 2 hours daily is the primary operational constraint.

What is the cost per meeting for a GMass-based SDR campaign? ​

$50.67 per booked meeting in this case ($1,520 total cost divided by 30 meetings). B2B SaaS outbound industry benchmark for cost per qualified meeting is $40 to $120. This result sits in the lower-middle of that range. GMass’s $20 tool cost versus $58 to $100-plus alternatives is the primary reason for the favorable cost-per-meeting performance at equal labor rates.

Bottom line: $50.67 per meeting, lower-middle of the $40-$120 B2B SaaS outbound benchmark. GMass tool cost advantage drives the favorable result vs. alternatives at same labor rate.

How does a 3-step follow-up sequence compare to single-touch cold email? ​

3-step sequences (Day 1 plus Day 4 plus Day 9) lift reply rate 50 to 65 percent over single-touch sends in B2B outbound. In this case, the sequence drove 9.5 percent versus the 4 percent single-touch baseline. GMass automates the sequence with reply detection that pauses follow-ups when a prospect responds, preventing over-contact with interested leads already in conversation.

Bottom line: 3-step sequences lift reply rate 50-65% vs single-touch. Follow-ups contributed 48% of total replies in this case. GMass automates pause-on-reply to prevent over-contact.

Will this 30-meeting result replicate for solopreneurs or freelancers? ​

The workflow (GMass plus Google Sheets plus 3-step sequence plus Spam Solver) replicates for freelancer outreach. The numbers shift based on offer fit and ACV. Solopreneurs selling $2,000 to $10,000 freelance projects in web development, design, or consulting typically book 8 to 15 discovery calls in 30 days using the same playbook. The 30-meeting number is specific to higher-volume B2B SaaS outbound with tight ICP targeting.

Bottom line: Workflow replicates for freelancers. Meeting number adjusts to 8-15 discovery calls for $2K-$10K freelance project outreach at equivalent effort and ICP discipline.