“Our business went from local to national thanks to Hoop. They completely transformed our e-commerce platform and helped us expand our customer base 5x. The results speak for themselves.”
Lead Generation Services
Lead generation that builds a pipeline that compounds.
We run inbound lead generation (SEO, content, lead magnets, landing pages) and outbound lead generation (cold email, LinkedIn outreach, cold calling) — producing MQL and SQL pipeline at verified CPL benchmarks, not vanity traffic numbers.
Trusted by businesses worldwide
3×More leads per dollar from inbound
51%MQL-to-SQL from SEO vs 26% PPC
9×More likely to convert if replied <5 min
13%Avg MQL-to-SQL — scoring lifts to 40%+
Overview
Lead volume is a vanity metric. Pipeline is the goal.
The average B2B website converts visitors to leads at 2.9%. Of those, 31% become MQLs; of MQLs, 13–35% become SQLs; of SQLs, 37% close. Starting with 1,000 leads produces roughly 23–40 customers. The most expensive mistake in lead generation is optimising for lead volume at the top of the funnel rather than conversion and qualification at each stage. A $50 CPL that closes at 1% is more expensive than a $150 CPL that closes at 5%.
Inbound produces 3× more leads per marketing dollar than outbound at 62% lower CPL — with a far higher MQL-to-SQL rate because inbound leads arrive with demonstrated intent (51% from SEO vs 26% from PPC). Outbound produces first pipeline 1.5× faster and reaches buyers who aren’t searching. Speed-to-lead decides which channel’s economics hold up: responding within 5 minutes makes conversion 9× more likely. The average company responds in 42 hours.
We build programmes matched to ICP, deal size, sales-cycle length, and growth timeline — combining inbound and outbound in the ratio that produces the lowest blended CPL for each specific business.
- Inbound lead gen
- SEO + content + lead magnets + landing pages — 62% lower CPL, higher intent.
- Outbound lead gen
- Cold email + LinkedIn + cold calling — 1.5× faster first pipeline.
- Lead scoring
- MQL-to-SQL from 13% average to 40%+ with behavioural scoring.
- Pipeline reporting
- CPL, MQL-to-SQL rate, speed-to-lead, and revenue attribution.
4 lead generation disciplines we run.
Inbound compounds over time. Outbound produces immediate pipeline. Lead magnets capture intent. Lead scoring filters qualification.
Lowest CPL · Highest SQL Rate
Inbound Lead Generation
Attracts buyers through SEO, content, lead magnets, and landing pages — producing leads with demonstrated purchase intent. Organic CPL averages $35–$55, and SEO leads convert MQL-to-SQL at 51% vs 26% for PPC. Inbound compounds from month 6: content ranking on page 1 generates leads continuously without additional spend. ROI calculators convert at 30–50%; ebooks at 1–8% — format selection decides whether traffic becomes qualified pipeline.
SEO lead genContent marketingLead magnetsLanding pagesCPL $35–$55
1.5× Faster First Pipeline
Outbound Lead Generation
Reaches buyers who aren’t actively searching — cold email (3.4% avg reply rate), LinkedIn outreach (CPL $200–$400, highest decision-maker access), and cold calling (SMB appointments $150–$500, enterprise $800–$2,500+). Outbound economics depend on three variables in priority order: data quality (a 35–40% bounce rate kills every downstream metric), ICP precision, and speed-to-lead.
Cold emailLinkedIn lead genCold callingAppointment settingSDR programmes
30–50% Conversion Rate
Lead Magnet Creation
Lead magnets exchange value for contact information. Conversion by format: ROI calculators and assessment tools (30–50%+), benchmark reports (15–30%), templates and checklists (15–25%), webinars (10–20% registration, 70%+ of attendees convert), and ebooks (1–8% — most-used, lowest-converting). We match format to funnel stage and pair each magnet with a dedicated landing page, welcome sequence, and MQL trigger criteria.
ROI calculatorsBenchmark reportsTemplatesWebinarsTOFU/MOFU/BOFU
13% → 40% MQL-to-SQL
Lead Scoring & Qualification
The average MQL-to-SQL rate is 13% without scoring — 87 of every 100 MQLs handed to sales are rejected. Scoring lifts this to 40%+ by filtering on demographic fit and behavioural signals: positive scores (pricing page +20, demo request +50, webinar +25) and negative scores (competitor domain −30, below-ICP size −20). Crossing the MQL threshold triggers a 5-minute notification to sales — the window where conversion is 9× more likely.
Behavioural scoringDemographic scoringMQL thresholdSpeed-to-leadCRM automation
9 lead generation services we deliver.
Every discipline from ICP targeting and lead magnet creation to outbound sequencing, lead scoring, and pipeline reporting.
Lead gen audit & ICP definition
Audit of current lead volume, CPL by channel, MQL-to-SQL rate, and speed-to-lead — identifying where the funnel leaks. ICP definition across firmographic, psychographic, and behavioural dimensions, with a prioritised roadmap per channel.
SEO & content lead generation
Keyword research on problem-aware and solution-aware queries for the ICP, content production (pillar pages, clusters, comparison pages), internal linking, and conversion CTAs routing to lead capture. Organic CPL $35–$55 at a 51% MQL-to-SQL rate.
Landing page creation & CRO
Dedicated lead-gen pages — above-fold value proposition, social proof with metrics, single CTA, 3–4 form fields max, mobile-optimised. A/B testing on headline, CTA, form length, and social proof — targeting 3–8% visitor-to-lead vs the 2.9% sitewide average.
Lead magnet creation
ROI calculators and assessment tools (30–50%), benchmark reports (15–30%), templates and checklists (15–25%), and webinars (10–20% registration) — matched to ICP buyer stage, each with a landing page, welcome email, and MQL trigger criteria.
Cold email outreach
Prospect list building with verified contacts (<5% bounce target), personalised 3-touch sequences, deliverability setup (SPF/DKIM/DMARC, domain warming, dedicated sending domain), subject-line A/B testing, and reply management. Average reply 3.4%; top sequences reach 8–12%.
LinkedIn lead generation
Sales Navigator targeting by job title, company size, industry, and seniority — connection sequences, personalised message cadences, and InMail campaigns. CPL $200–$400 but the highest decision-maker access of any digital channel.
Cold calling & appointment setting
Targeted calling for B2B deal sizes above $10,000 — prospect research, scripts by ICP persona, objection-handling frameworks, and booked-meeting handoff. SMB meetings $150–$500; enterprise $800–$2,500+. SDR-function results without the 3–5 month ramp.
Lead scoring & MQL/SQL qualification
Scoring model with positive and negative criteria, MQL threshold set from closed-won deal analysis, 5-minute speed-to-lead notification, nurture suppression, and SQL handoff workflow — tripling qualified pipeline from the same lead volume.
Pipeline reporting & attribution
Monthly report — CPL by channel, MQL volume and rate, MQL-to-SQL, SQL-to-opportunity, opportunity-to-close, blended CAC, and marketing-attributed revenue. Attribution model matched to sales-cycle length. Prevents the lead-volume trap.
CPL benchmarks — what qualified leads cost.
Data from Belkins, FirstPageSage, HubSpot, and Ruler Analytics — SQL-stage CPL, not MQL or form-fill CPL.
By ChannelCost per lead by source
- Organic / SEO
- $35–$55
- Paid inbound
- $75–$110
- Email outbound
- $50–$120
- Google Ads
- $100–$250
- $200–$400
By IndustryBlended CPL benchmarks
- B2B SaaS
- $237
- Biotech
- $274
- Business insurance
- $460
- Financial services
- $653
- Software / IT
- $1.6K–$3K
Funnel ConversionAverage B2B rates
- Visitor → Lead
- 2.9%
- Lead → MQL
- 31%
- MQL → SQL
- 13–35%
- SQL → Opportunity
- 30–40%
- Opportunity → Close
- 20–37%
Lead Magnet ConversionOpt-in rate by format
- ROI calculator
- 30–50%
- Benchmark report
- 15–30%
- Template / checklist
- 15–25%
- Webinar (registration)
- 10–20%
- Ebook / whitepaper
- 1–8%
Lead magnets ranked by conversion rate.
Opt-in performance by format — use this to decide which lead magnet to build first for each funnel stage.
| Lead magnet format | Conversion rate | Funnel stage | Best for | Production cost |
|---|---|---|---|---|
| ROI calculator / assessment tool | 30–50%+ | MOFU | B2B, SaaS, marketing services | Medium–High |
| Industry benchmark report | 15–30% | TOFU | Any B2B with original data | Medium |
| Personalised short-form video | 15–25%+ | MOFU | High-ticket B2B, consulting | Low |
| Template / checklist | 15–25% | TOFU | SaaS, agencies, marketers | Low |
| Webinar (attendee conversion) | 70%+ of attendees | MOFU | Enterprise B2B, SaaS | High |
| Free audit / discovery call | Varies (BOFU high) | BOFU | Agencies, consulting, high-ticket | Low (sales time) |
| Mini-course / email sequence | 10–20% | TOFU | Education, SaaS onboarding | Medium |
| Ebook / whitepaper | 1–8% | TOFU | Brand authority (low direct ROI) | High |
Why Work With Hoop
Lead gen measured by pipeline, not form fills.
Most agencies report impressions, clicks, and form fills. We report CPL, MQL-to-SQL rate, speed-to-lead, and marketing-attributed revenue. The difference is whether you know if lead generation is working or just running.
- 01
ICP before channel — always
Lead generation without a defined ICP targets a broad audience with generic messaging, producing high lead volume and low MQL rates. We define the ICP before selecting any channel or building any content. Poorly defined ICP is the most common cause of high CPL and low MQL-to-SQL rates.
- 02
Speed-to-lead enforced at 5 minutes
Responding within 5 minutes makes conversion 9× more likely vs after 30 minutes. The average company responds in 42 hours — a gap that negates the CPL invested in generating the lead. We build automated 5-minute notification workflows into every programme.
- 03
Lead scoring from day 1 — not day 90
The B2B average MQL-to-SQL rate without scoring is 13% — 87 of every 100 MQLs are rejected or ignored. We build scoring models at launch using positive and negative criteria, with the MQL threshold set from closed-won CRM data, so sales never waste time on low-fit leads.
- 04
GEO/AEO as a distinct lead gen channel
AI search referral traffic from ChatGPT, Perplexity, and AI Overviews converts 22% higher than traditional organic because citations reach buyers at the end of research. We build GEO and AEO as a distinct channel in every inbound programme — answer-first content, FAQ schema, and brand entity optimisation.
How we build your lead generation programme.
A 5-phase build from ICP definition to live pipeline — first SQLs within 30–60 days from outbound, 6–9 months compounding from inbound.
01
ICP definition & targeting
Firmographic and psychographic ICP profile, negative ICP criteria, buying-committee mapping, verified prospect lists for outbound, and keyword clusters for inbound — before any content or sequence is built.
ICP before channel02
Lead magnet & landing page
Lead magnet matched to ICP stage, a dedicated landing page with above-fold value proposition and single CTA, an automated welcome sequence, and MQL trigger criteria configuration.
30–50% conversion target03
Outbound sequencing
Deliverability setup (SPF/DKIM/DMARC, domain warming, dedicated sending domain), 3-touch personalised email sequence, LinkedIn cadence, subject-line A/B tests, and reply management for first-30-day pipeline.
First SQLs in 30–60 days04
SEO & content production
Pillar and cluster content targeting ICP queries, internal linking to conversion pages, lead magnet CTAs inside content, GEO/AEO structured FAQ content, and technical SEO corrections.
Compounding from month 605
Lead scoring & reporting
Scoring model activation, 5-minute speed-to-lead notification, MQL-to-SQL handoff workflow, and monthly reporting on CPL by channel, MQL rate, MQL-to-SQL rate, and attributed revenue.
Pipeline metrics, not vanityWays to work with us.
4 engagement structures — from audit to full programme management to outbound-only sprint.
Lead gen audit
One-time audit — CPL by channel, MQL-to-SQL rate, speed-to-lead measurement, funnel drop-off analysis, lead magnet conversion, and a prioritised roadmap with estimated CPL improvements. 2-week delivery.
Best for diagnosing pipelineOutbound sprint
30–60 day programme — ICP list build, email deliverability setup, 3-touch cold email sequence, LinkedIn cadence, and reply management. Produces first SQLs within 30–60 days.
Best for immediate pipelineFull inbound programme
Monthly retainer — SEO content, lead magnet creation and optimisation, landing page A/B testing, lead scoring setup, and pipeline reporting. 6-month minimum, with GEO/AEO content integrated.
Best for sustainable CPLFull-stack lead gen retainer
Inbound + outbound simultaneously — outbound produces immediate pipeline while SEO builds the compounding organic channel. Blended CPL decreases month over month as organic volume grows.
Best for B2B scalingClient Success
Growing businesses have
already made the move
End-to-End
From Idea to Revenue
5-Star
Client-Rated
Two Divisions
Software + Marketing
“Our business went from local to national thanks to Hoop. They completely transformed our e-commerce platform and helped us expand our customer base 5x. The results speak for themselves.”
What's Included
Every lead gen programme comes complete.
No separate fees for ICP research, lead magnet creation, or deliverability setup. Every programme includes the full infrastructure required to produce qualified pipeline.
- ICP definition & targeting
- Firmographic, psychographic, negative ICP.
- Lead magnet creation
- Format matched to ICP stage and conversion target.
- Landing page build & CRO
- Dedicated pages targeting 3–8% visitor-to-lead.
- Email deliverability setup
- SPF, DKIM, DMARC, domain warming.
- Cold email sequencing
- 3-touch personalised sequence with A/B testing.
- LinkedIn outreach cadence
- Sales Navigator targeting, connection + message.
- Lead scoring model
- Behavioural + demographic scoring, MQL threshold.
- 5-minute speed-to-lead
- Automated MQL notification to the sales team.
- GEO/AEO content integration
- AI search as a distinct lead gen channel.
- Monthly pipeline report
- CPL, MQL-to-SQL, speed-to-lead, attribution.
Lead generation for every business model.
Industry-specific CPL benchmarks, channel priorities, and lead magnet formats.
B2B SaaS
Inbound SEO + free-trial CRO + demo request flow. Blended CPL avg $237.
B2B Professional Services
LinkedIn outreach + case study magnets + free audit BOFU.
Ecommerce & D2C
Inbound SEO + email capture + back-in-stock and wishlist lead gen.
Fintech & Finance
CPL $460–$653. Trust-first content + comparison pages + calculators.
Real Estate
Local SEO + property guides + instant valuation tools.
Healthcare & Wellness
High-intent local SEO + booking + patient education content.
Education & EdTech
Enrolment funnel SEO + course preview magnet + webinars.
Agencies & Consultancies
Case study magnets + ROI calculators + LinkedIn outreach to CMOs.
The Deep Dive
Understanding lead generation services.
Direct answers to the most important lead generation questions — structured for citation by ChatGPT, Perplexity, and Google AI Overviews.
What is lead generation and how does it work?
Lead generation is the process of identifying and attracting potential customers who have expressed interest in a product or service, and routing them through qualification until a sufficient percentage reach sales as SQLs ready for a sales conversation. It works through two mechanisms: inbound (content, SEO, and lead magnets attracting buyers actively searching) and outbound (cold email, LinkedIn, and calling contacting ICP-matched prospects who haven’t started searching).
The funnel has five stages: visitor, lead, MQL, SQL, and customer. The average B2B funnel converts at 2.9% visitor-to-lead, 31% lead-to-MQL, 13–35% MQL-to-SQL, and 20–37% SQL-to-close. The compounding effect makes middle-stage optimisation more impactful than top-of-funnel volume — improving MQL-to-SQL from 13% to 30% on 100 MQLs adds 17 SQLs without generating a single new lead.
What is the difference between inbound and outbound lead generation?
Inbound attracts buyers actively searching, producing leads at $35–$55 CPL (organic) with a 51% MQL-to-SQL rate; outbound proactively contacts identified prospects, producing leads 1.5× faster with a 3.4% average cold email reply rate and CPL of $50–$400 depending on channel.
Three practical differences: timing (inbound reaches in-market buyers; outbound reaches them before they search), qualification (inbound converts MQL-to-SQL at nearly 2× the rate of paid outbound), and timeline (inbound compounds over 6–12 months with improving CPL; outbound produces pipeline in 30–60 days at consistent, non-compounding CPL). Most B2B businesses with deal sizes above $10,000 benefit from running both simultaneously rather than choosing one.
What is CPL and what is a good CPL by industry?
CPL (Cost Per Lead) = total lead generation spend ÷ leads produced in the same period. A good CPL depends on average deal value — the useful formula is average deal value ÷ 3 (a 3:1 CAC-to-deal ratio) = maximum acceptable CPL. Benchmarks: B2B SaaS blended $237, financial services $653, business insurance $460, biotech $274, and software/IT services $1,680–$3,080.
CPL alone is the wrong primary metric — a $50 lead that closes at 1% is more expensive than a $200 lead that closes at 10%. The correct hierarchy is CPL → MQL-to-SQL rate → SQL-to-close rate → cost per closed deal → CAC-to-LTV ratio. Bad contact data is the most common cause of high effective CPL: a 35–40% bounce rate wastes that same proportion of outbound spend on contacts who never receive the message.
What is lead scoring and how does it increase MQL-to-SQL conversion?
Lead scoring assigns numerical point values to behaviours (page visits, email clicks, pricing views, demo requests) and demographic attributes (company size, industry, job title), designating a lead an MQL automatically when the cumulative score crosses a threshold — increasing MQL-to-SQL from the 13% B2B average to 40%+.
It works through positive scores indicating intent (pricing page +20, demo request +50, webinar +25) and negative scores indicating poor fit (competitor domain −30, below-ICP size −20). The threshold is calibrated from closed-won CRM data. The 9× speed-to-lead advantage requires MQL notifications to reach sales within 5 minutes of threshold crossing — automated CRM workflows, not manual review queues.
How does lead generation integrate with GEO and AEO for AI search visibility?
Lead generation integrates with GEO and AEO through three mechanisms: AI search referral traffic converting 22% higher than traditional organic, answer-first content ranking for the problem-aware queries in-market buyers ask AI engines, and brand entity recognition generating passive inbound leads from buyers who encounter the brand in AI-generated answers.
AI search is now a measurable channel in GA4 — the AI Assistant traffic source tracks ChatGPT, Gemini, and Claude referrals separately, enabling CPL measurement for AI-referred leads. GEO lead-gen content is built differently from standard SEO content: answer-first structure (question as heading, bold answer in the first sentence), specific numeric claims AI engines extract as factual signals, and FAQPage schema for snippet and AI extraction.
Related services.
Services that feed and convert the pipeline lead generation builds.
SEO Services
Organic search is the lowest-CPL inbound channel at $35–$55 and 51% MQL-to-SQL.
ExploreContent Marketing
Content produces the lead magnets, pillar pages, and comparison articles that drive inbound leads.
ExplorePaid Advertising
Paid channels produce leads faster than organic — at higher CPL while organic builds.
ExploreConversion Rate Optimization
CRO optimises the landing pages and forms that convert lead gen traffic into captured leads.
ExploreMarketing Automation
Automation delivers lead magnets, runs nurture, and executes the 5-minute speed-to-lead workflow.
ExploreBusiness Consulting
Strategy defines the ICP and channel mix that determines which lead gen channels to prioritise.
ExploreWeb Design
Lead gen landing pages need dedicated, conversion-optimised design — not repurposed homepage sections.
ExploreData & Analytics
Attribution and dashboards that tie CPL and MQL-to-SQL back to revenue.
ExploreFAQ
Lead Generation Questions
8 questions asked before every lead generation engagement — answered directly.
Outbound lead generation (cold email, LinkedIn outreach, cold calling) produces first SQLs within 30–60 days — the first three weeks cover deliverability setup, list build, and sequence launch; weeks 4–8 produce first replies and booked meetings. Inbound lead generation (SEO, content, lead magnets) begins capturing leads within 30 days of launch but produces meaningful compounding volume between months 6–9 as content ranks. Most B2B businesses run outbound during months 1–6 to generate immediate pipeline while inbound builds; blended CPL starts decreasing from month 6 onwards as organic contributes a larger share.
Realistic B2B CPL ranges from $35–$55 for organic/SEO leads to $200–$400 for LinkedIn leads — blended CPL for a mixed inbound and outbound programme typically runs $50–$150 for SMB-focused programmes and $150–$600 for enterprise. The formula for a maximum acceptable CPL is: average deal value ÷ 3 (a 3:1 CAC-to-deal ratio). Never evaluate CPL in isolation from MQL-to-SQL rate — a $50 CPL with 13% MQL-to-SQL costs more per SQL than a $150 CPL with 40% MQL-to-SQL.
An MQL (Marketing Qualified Lead) meets marketing’s qualification criteria based on demographic fit and behavioural signals — indicating purchase intent but not yet sales-vetted. An SQL (Sales Qualified Lead) is an MQL contacted by sales and confirmed to have budget, authority, need, and timeline, ready for a formal sales conversation. The average B2B MQL-to-SQL rate is 13% without lead scoring and 40%+ with behavioural scoring. When marketing and sales don’t jointly define what an MQL is, MQL-to-SQL rates are meaningless.
Build an ROI calculator or assessment tool first — it converts at 30–50%+ vs 1–8% for ebooks, is immediately useful to MOFU-stage visitors, and produces leads with demonstrated commercial intent rather than general interest. Choose format by three criteria: conversion rate, ICP stage alignment (TOFU needs educational content, MOFU needs decision-support tools, BOFU needs risk-reduction offers like free audits), and production cost. The worst investment is a lengthy TOFU ebook — high production time, 1–8% conversion, and prospects too early to qualify as MQLs.
Responding to an inbound lead within 5 minutes makes conversion 9× more likely vs responding after 30 minutes, and 21× more likely to enter the sales process. The decay curve is steep: at 5–10 minutes effectiveness is ~80% of maximum, at 10–30 minutes 50%, at 30–60 minutes 25%, and after an hour conversion probability approaches the cold-outreach baseline. The average company responds in 42 hours — meaning most CPL invested in generating inbound leads is negated by response-time failure, not lead quality. Automated 5-minute MQL notification is the fix; manual review queues are incompatible with the window.
Use both simultaneously: outbound during months 1–6 to generate immediate pipeline while inbound builds the compounding organic channel — then reduce outbound intensity as organic volume grows and blended CPL reaches target. The decision depends on revenue runway (pipeline needed within 30 days means outbound is the only viable option), deal size (deals above $50,000 justify $200–$400 LinkedIn CPL; deals below $5,000 require $35–$55 organic CPL), and market size (niche ICP lists exhaust quickly, making inbound more sustainable). Most B2B companies between $500K–$10M ARR benefit from both.
Outbound requires verified contact data with a bounce rate below 5% — lists with 30–40% bounce rates waste 30–40% of outbound spend on undeliverable emails, destroy sender reputation, and inflate CPL by exactly the bounce proportion. Data quality affects deliverability (high bounce rates trigger spam routing), efficiency (bounced contacts produce zero replies at full cost), and domain reputation (sustained bounces permanently damage the sending domain). We verify all prospect lists via Apollo.io, Clay, or Lusha before sequencing and monitor bounce rate per domain daily.
Directly. GEO and AEO content generates inbound leads from AI search referral traffic that converts 22% higher than traditional organic, because AI-referred visitors arrive at the end of a research process with specific purchase intent. GA4’s AI Assistant traffic source now tracks ChatGPT, Gemini, and Claude referrals separately, enabling CPL measurement for AI-referred leads. GEO lead-gen content is structured differently: answer-first headings, FAQPage schema on landing and offer pages, specific numeric claims AI engines extract, and brand entity statements. We include it as a required content type in every inbound programme.