A new VP of Marketing at a Series B SaaS asked her team for 10 proven lead-gen examples before building the quarterly plan. The deck she received listed campaign names without conversion rates, source attribution, or the sales motion that converted the leads. Strkr runs lead-gen plays as repeatable patterns with the data visible: what the campaign cost, how many MQLs it produced, how many SQLs converted, and the full attribution lineage.
Marketers researching lead gen examples usually find case studies without the context that would make the examples repeatable. Which part of the campaign worked. What the follow-up sequence looked like. Which fields the form captured. How the sales motion converted the inbound. The six pains below are what makes most lead-gen case studies useless beyond headline inspiration.
Most published lead-gen case studies list the campaign type and a flashy ROI number without the mechanics. The reader cannot see which content performed, which form fields mattered, which follow-up sequence converted. The example is inspiration, not a playbook. Strkr-run plays expose the mechanics so the pattern is copyable.
A multi-touch campaign (webinar, nurture email, retargeting ad, outbound call) closes a deal but the case study credits the webinar for the whole conversion. Which touch actually moved the deal is invisible. Strkr tracks every touch on the record and the attribution model shows the full lineage so examples are honest.
Many case studies describe the acquisition campaign and omit the follow-up cadence that converted the leads. The real pattern is often "we called every inbound within 90 seconds" rather than the clever headline on the landing page. Strkr exposes the follow-up cadence attached to each playbook so the full motion is visible.
A content-download case study claims 42 percent form-fill rate without disclosing whether the form was 3 fields or 9. The number is unactionable because the reader does not know what tradeoff produced it. Strkr playbooks ship with the form field list so the implementation is one-to-one.
An inbound lead-gen case study often turns out to involve a 15-rep outbound team working the inbound leads 10 minutes after submission. The campaign generated the names; the sales motion produced the revenue. Strkr playbooks include the sales motion that follows the lead-gen touch so the full picture is visible.
A quoted conversion rate without segment context (enterprise versus mid-market versus SMB, warm inbound versus cold outbound, demo-request versus content-download) is unreliable. Strkr playbook data breaks down by segment so the reader can match their own motion to the example that fits.
The nine cards below describe nine proven lead-gen plays that teams run on Strkr. Each card includes the content, the form, the follow-up, and the typical conversion numbers.
A gated whitepaper campaign with a 4-field form (name, email, company, role) typically converts 32 to 48 percent of landing-page visitors. The 7-touch nurture sequence over 45 days turns 8 to 14 percent of downloads into sales conversations. Cost per MQL runs $45 to $120 depending on paid-promotion spend.
A monthly webinar with 300 to 500 registrations typically produces 40 to 60 attendees who stay past the 20-minute mark. Of those, 15 to 25 percent convert to sales conversations within 30 days. The post-event follow-up sequence is the lever: BDR-booked meeting within 24 hours of attendance produces 2 to 3 times the conversion of a generic nurture email.
For product-led companies, trial signup is the lead-gen motion. A 14-day trial with no credit card typically converts 2 to 5 percent of landing-page visitors to signups. 15 to 25 percent of signups reach a "healthy use" threshold. 30 to 45 percent of healthy users convert to paid, often routed to sales when ACV warrants.
Cold outbound campaigns targeting a defined ICP produce direct meetings at 1 to 3 percent reply rate, and amplify inbound by 15 to 25 percent as targeted prospects research the brand and self-serve. The combined motion typically delivers lower cost per SQL than either channel alone.
A joint webinar with a complementary vendor typically produces 2 to 3 times the registration volume of a solo webinar. Lead sharing with explicit consent runs under a joint-consent capture. The leads carry both-source attribution so each company can calibrate the partner value accurately.
Content syndication through TechTarget, Demand Gen Report, or similar networks produces lead volume at $45 to $90 per MQL. The leads convert at lower rates than organic inbound (3 to 6 percent SQL rate) and require careful nurture. The channel works best for high-ACV enterprise motions.
A trade show booth with badge-scan integration plus a short mobile form typically captures 200 to 600 leads per day of event. The post-event follow-up (meeting booked within 48 hours of event) converts 15 to 25 percent of captured leads to sales conversations. Fast follow-up is the lever.
LinkedIn organic content targeting a defined ICP, amplified through Sales Navigator by the sales team, produces warm inbound at under $25 cost per MQL (opportunity cost of content production). Conversion to SQL runs 20 to 35 percent because the lead self-identified through engagement.
G2 or Capterra category-paid placement typically produces 20 to 60 MQLs per month at $100 to $200 cost per MQL. Lead intent is high because the prospect was in-market comparing solutions. SQL conversion runs 25 to 40 percent on average, higher than content-driven inbound.
The six cards below describe the data every Strkr-run playbook captures. Without these metrics, lead-gen examples are inspiration rather than decisions.
Cost per MQL includes paid media, content production, tool costs, and the people time attributable to the campaign. All-in CPM lets channel comparison work (webinar vs content syndication vs cold outbound) because the apples-to-apples cost line is the same. Strkr reports CPM per campaign automatically.
MQL-to-SQL conversion is the test of lead quality. A 2,000-MQL campaign with 2 percent SQL conversion is worse than a 400-MQL campaign with 15 percent SQL conversion. Strkr tracks the funnel per campaign so quality shows up alongside volume.
SQL-to-opportunity conversion tests whether the sales motion matches the lead type. Content-download leads often convert at 15 to 25 percent SQL-to-opp while review-site leads convert at 40 to 60 percent. The spread shows which lead-gen plays feed the strongest pipeline.
The final conversion rate from opportunity to closed-won closes the loop. A lead-gen play that produces strong SQLs but weak opportunities (e.g., prospects who book meetings but do not have budget) still fails on cost per acquisition. Full-funnel reporting catches the pattern.
Pipeline velocity (days from lead creation to closed-won) is the lever that distinguishes high-intent plays from low-intent plays. Review-site leads often close in 45 to 90 days; content-download leads often close in 180 to 365 days. Velocity shapes the cash-flow model for each play.
Payback period combines cost per acquisition with contract value and gross margin to produce months to recovery. A play with 24-month payback deserves different treatment than a 6-month play. Strkr reports payback by lead source so the lead-gen portfolio balances short and long cycles.
The six cards below each describe a real lead-gen motion a Strkr customer rebuilt on the platform. Numbers are directional ranges rather than specific customer figures.
A Series B SaaS replaced a 9-field whitepaper gate with ungated case studies plus a 3-field "talk to sales" form on each case study page. MQL volume dropped 60 percent; SQL volume increased 45 percent because the self-selected leads were higher intent. Pipeline velocity shortened by 30 days on average.
A B2B services firm replaced two quarterly large events with monthly webinars on narrow topics. Monthly MQL volume rose from 180 to 420 at lower cost per MQL. The post-webinar BDR follow-up (within 24 hours) converted 22 percent of attendees to sales conversations versus 8 percent on the old event motion.
An enterprise B2B team layered cold outbound to a defined ICP alongside existing content marketing. Direct outbound reply rate hit 2.4 percent; inbound volume to the brand increased 32 percent as targeted prospects researched after cold-touch. Combined cost per SQL dropped 18 percent versus content-only motion.
A product-led SaaS routed trial users who hit a usage threshold (3 teammates invited plus 10 records created) to sales within the first 7 days of trial. The sales-touched segment converted to paid at 45 percent versus 18 percent for self-serve. The lead-gen motion moved from marketing-only to product-plus-marketing attribution.
A mid-market B2B team ran a joint webinar with a complementary vendor (adjacent category, overlapping ICP). Registration doubled to 820 versus 400 on solo events. Lead-sharing under joint consent produced 180 shared leads to each partner. SQL conversion was comparable to solo events; cost per MQL dropped 55 percent because production split.
A B2B SaaS activated G2 Buyer Intent (showing prospects researching the category) plus category paid placement. The combined motion produced 45 MQLs per month at $140 CPM. SQL conversion ran 38 percent because prospects were in active evaluation. Payback period hit 6 months versus 14 months on content-only acquisition.
Most lead-gen research pulls case studies from vendor blogs and marketing conferences. The gap is between inspiration and implementation. Here is the head-to-head.
| Feature | Strkr | Vendor case study research |
|---|---|---|
| Form field disclosure | Full field list per play | Omitted |
| Follow-up cadence disclosure | Full sequence with timing | Omitted |
| Cost per MQL | All-in with time cost | Media cost only or vague |
| MQL to SQL conversion | Reported | Sometimes reported |
| Payback period | Reported | Rarely reported |
| Segment context | Enterprise vs mid-market vs SMB | Often missing |
| Attribution lineage | Multi-touch per record | Last-touch headline only |
| Sales motion included | Yes | Rarely |
| Repeatability | Copyable playbook | Inspiration only |
| Benchmark freshness | Rolling updates | Point-in-time |
The playbooks below are lead-gen motions teams run on Strkr right now. Each one has the mechanics, the numbers, and the sales motion attached.
A B2B SaaS runs a monthly thesis-piece content strategy (one long-form argument per month on their category) with ungated distribution. Related case studies gate with a 3-field "talk to sales" form. The combined motion produces 240 MQLs per month at $65 cost per MQL. SQL conversion runs 28 percent because the self-selected prospects already engaged with the thesis.
A B2B services firm runs 12 webinars per year on narrow operational topics. Attendance averages 70 live and 40 on-demand. BDRs call every attendee within 24 hours with a tight pitch tied to the webinar content. 22 percent of attendees book a meeting within 30 days. Cost per SQL runs $380 fully loaded.
An enterprise B2B team runs named-account outbound to a 500-account ICP with layered content marketing (industry report, personalized video, custom demo). Direct outbound reply rate hits 2.4 percent, inbound from the named accounts rises 42 percent. The combined motion produces 18 to 24 enterprise SQLs per quarter at $8,000 fully loaded cost per SQL.
A product-led SaaS routes trial users who hit "3 teammates invited plus 10 records created" within 48 hours of trial start to a sales rep. 45 percent of this cohort converts to paid versus 18 percent of self-serve trials. The trial itself is the lead-gen motion; sales handles the top of the usage distribution. Cost per paid customer runs $240 fully loaded.
A B2B SaaS activates G2 category paid placement plus Buyer Intent data (prospects researching the category). The sales team receives weekly digests of in-market prospects at target accounts. Direct outreach to in-market prospects converts at 12 percent to meeting booked versus 2 percent on cold outreach. Cost per meeting runs $380.
Start a 14-day trial with 12 pre-built playbooks, campaign-level attribution, and full-funnel reporting enabled. Stop copying headlines from case studies and start copying the full motion.
A useful lead-gen example includes the full mechanics: which content was produced, which form fields the landing page used, which follow-up sequence ran after submission, which sales motion worked the leads, and the conversion rates at each funnel stage from MQL through closed-won. Case studies that quote only the top-of-funnel conversion rate without disclosing form fields or follow-up cadence are inspiration, not implementation. Strkr playbooks include the full mechanics so the pattern is copyable.
Match on three dimensions: segment (enterprise, mid-market, SMB), motion type (self-serve, sales-assisted, enterprise top-down), and ICP overlap. A play that produces 40 MQLs per month at $200 cost per MQL in enterprise B2B rarely works at the same economics in SMB. Strkr playbook metadata includes segment, motion, and ICP characteristics so the match is explicit rather than guessed.
Early-stage companies with limited brand presence tend to need two things: founder-led content for differentiation and tight sales motion for every inbound. The plays that work well are founder podcast or thought-leadership, cold outbound to a sharply defined ICP, content gates with 3 to 4 fields maximum, and fast sales follow-up (under 15 minutes) on every inbound. Expensive media plays (TechTarget syndication, big events) typically underperform at early stage because the sales motion cannot keep up with the volume.
For a defined category, G2 or Capterra typically produce 20 to 80 MQLs per month at $100 to $200 cost per MQL. SQL conversion runs 25 to 40 percent because the prospects were actively comparing solutions. The channel caps out at a volume determined by category search traffic, so it works as part of a portfolio rather than a sole channel. Teams typically layer G2 paid, Buyer Intent data, and category content.
The biggest mistake is copying the acquisition touch without copying the sales motion. A case study that reads "webinar produced 40 pipeline deals in Q3" usually involves a 10-rep BDR team calling every attendee within 24 hours. The webinar generates names; the sales motion generates revenue. Copying the webinar without the BDR coverage replicates the volume but not the conversion. Strkr playbooks include the sales motion attached to each example so the full picture is visible.
Every touch on a lead or account records on the record: form submissions, webinar attendance, email opens and clicks, page views, outbound calls, meetings booked, meetings held. First-touch, last-touch, linear, and position-based attribution models all run against the same data. The attribution report shows the full lineage so a lead-gen example from the Strkr customer base includes which touches actually moved the deal.
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