# Lead Generation — full corpus # LLM Wiki An open-source template for building LLM-powered knowledge bases, following [Andrej Karpathy's "LLM Wiki" pattern](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f). You provide raw sources. The LLM reads them, writes structured wiki pages, cross-links everything, and maintains it over time. You never edit the wiki directly — you curate sources and ask questions. ## How It Works The system has three layers: ``` raw/ Sources you collect (articles, transcripts, notes, PDFs) wiki/ LLM-written & maintained pages (summaries, concepts, entities, syntheses) CLAUDE.md Schema that tells the LLM how to structure everything ``` Three operations drive the workflow: | Operation | Trigger | What happens | |-----------|---------|--------------| | **Ingest** | "ingest raw/my-source.txt" | LLM reads the source, creates a summary page, creates/updates concept and entity pages, adds cross-links, updates the index and log | | **Query** | Ask any question | LLM searches the wiki, synthesizes an answer with citations, optionally creates a synthesis page for novel insights | | **Lint** | "lint" or "health check" | LLM audits all pages for orphans, contradictions, missing links, incomplete sections, and low-confidence claims — fixes what it can, reports the rest | ## Quick Start 1. **Clone this repo** ```bash git clone https://github.com/YOUR_USERNAME/llm-wiki.git my-knowledge-base cd my-knowledge-base ``` 2. **Customize CLAUDE.md** for your domain - Update the Purpose section with your topic - Replace the placeholder tagging taxonomy with your own categories - Adjust confidence level descriptions if needed - Everything else (workflows, page formats, linking rules) works as-is 3. **Drop sources into `raw/`** - Text files, transcripts, articles, notes — any plain text - These are immutable once added; the LLM never modifies them 4. **Tell the LLM to ingest** ``` ingest raw/my-first-source.txt ``` The LLM will create summary pages, concept pages, entity pages, cross-links, and update the index. 5. **Ask questions** ``` What are the key differences between X and Y? ``` The LLM answers from the wiki, citing specific pages. 6. **Run health checks** ``` lint ``` The LLM audits the wiki and fixes issues. ## Directory Structure ``` . ├── CLAUDE.md # Schema — the LLM's instructions ├── raw/ # Your source documents (immutable) └── wiki/ ├── index.md # Master catalog of all pages ├── log.md # Append-only activity log ├── dashboard.md # Dataview dashboard (Obsidian) ├── analytics.md # Charts View analytics (Obsidian) ├── flashcards.md # Spaced repetition cards ├── summaries/ # One page per source document ├── concepts/ # Concept and framework pages ├── entities/ # People, tools, organizations, etc. ├── syntheses/ # Cross-cutting analyses and comparisons ├── journal/ # Research/session journal entries │ └── template.md # Journal entry template └── presentations/ # Marp slide decks ``` ## Enhancements This template includes several extras beyond the core wiki pattern: ### Dataview Dashboard (`wiki/dashboard.md`) Live queries that surface low-confidence pages, recent updates, concepts by tag, and pages with the most sources. Requires the [Dataview](https://github.com/blacksmithgu/obsidian-dataview) Obsidian plugin. ### Charts View Analytics (`wiki/analytics.md`) Visual analytics with pie charts, bar charts, and word clouds. Requires the [Charts View](https://github.com/caronchen/obsidian-chartsview-plugin) Obsidian plugin. ### Mermaid Diagrams Use Mermaid code blocks in any wiki page to create flowcharts, sequence diagrams, or concept maps. Native support in Obsidian and GitHub. ### Marp Slides (`wiki/presentations/`) Create slide decks from markdown using [Marp](https://marp.app/). Drop presentation files in this directory. ### Research Journal (`wiki/journal/`) Track your research sessions, experiments, or applied work with the included template. The LLM can reference journal entries when answering queries. ### Spaced Repetition (`wiki/flashcards.md`) Flashcards in the format used by the [Spaced Repetition](https://github.com/st3v3nmw/obsidian-spaced-repetition) Obsidian plugin. Ask the LLM to generate flashcards from any wiki page. ### MCP Server This repo works with Claude Code's MCP server capabilities. Point an MCP-compatible client at this repo and the LLM can read/write the wiki programmatically. ## Customizing for Your Domain The schema in `CLAUDE.md` is domain-agnostic. To adapt it: 1. **Purpose** — Describe your knowledge domain in one paragraph 2. **Tagging taxonomy** — Replace placeholder categories with your own (e.g., for a cooking KB: `cuisine`, `technique`, `ingredient`, `equipment`) 3. **Confidence levels** — Adjust the descriptions to match your domain's evidence standards 4. **Entity types** — Update the entity page description to match what entities mean in your domain (people, tools, companies, etc.) 5. **Journal template** — Customize `wiki/journal/template.md` for your workflow Everything else — page format, linking conventions, workflows, rules — is universal and works across domains. ## Example Domains This template works for any knowledge-intensive topic: - **Research notes** — papers, experiments, methodologies - **Book analysis** — themes, characters, author techniques - **Competitive analysis** — companies, products, market trends - **Course notes** — lectures, readings, key concepts - **Personal development** — frameworks, habits, book summaries - **Technical documentation** — APIs, architectures, design patterns - **Hobby deep-dives** — any subject you want to master ## License MIT --- title: Lead Generation Wiki type: index updated: 2026-07-16 lead_generation_version: "source snapshot 2026-07-16" sources: [] tags: - lead-generation - marketing - sales confidence: high --- # Lead Generation Wiki An operational guide to building, measuring, and governing inbound and outbound lead generation. Start with [[syntheses/lead-generation-operating-system]] for the end-to-end workflow or [[concepts/lead-generation-funnel]] for the conceptual path. ## Foundations - [[concepts/lead-generation-funnel]] - [[concepts/ideal-customer-profile-and-personas]] - [[concepts/lead-magnets-and-offers]] - [[syntheses/inbound-vs-outbound]] ## Acquisition and conversion - [[concepts/inbound-channel-selection]] - [[concepts/outbound-prospecting]] - [[concepts/landing-pages-and-message-match]] - [[concepts/lead-capture-forms]] - [[entities/linkedin-lead-gen-forms]] ## Qualification and operations - [[concepts/lead-qualification]] - [[concepts/lead-scoring]] - [[concepts/lifecycle-and-sales-handoff]] - [[syntheses/lead-generation-operating-system]] ## Measurement and improvement - [[concepts/campaign-tracking-and-attribution]] - [[concepts/experimentation-and-optimization]] ## Trust, delivery, and governance - [[concepts/email-deliverability]] - [[concepts/direct-marketing-compliance]] - [[summaries/source-and-trust-map]] ## Wiki statistics - **Pages:** 18 - **Concepts:** 14 - **Entities:** 1 - **Summaries:** 1 - **Syntheses:** 2 - **High confidence:** 10 - **Medium confidence:** 8 - **Low confidence:** 0 --- title: Campaign Tracking and Attribution type: concept updated: 2026-07-16 sources: [raw/web_community-url-builders-collect-campaign-data-with-custom-urls-analytic.md, raw/web_community-get-started-with-advertising-analytics-help.md, raw/web_community-use-contact-and-company-lifecycle-stages.md] tags: - analytics - attribution - utm confidence: high --- # Campaign Tracking and Attribution Campaign tracking identifies where traffic and conversions came from. Attribution applies a model for distributing credit across interactions that preceded a key event. Neither replaces a complete CRM lifecycle. ## Campaign parameters UTM-tagged links commonly use: - `utm_source` for the platform, publisher, or origin. - `utm_medium` for the channel class. - `utm_campaign` for the initiative. - `utm_content` to distinguish creative or placements when needed. Values are case-sensitive in analytics systems, so define a naming convention before launch. Avoid putting personal or sensitive information in URLs. Preserve parameters through the landing page, [[concepts/lead-capture-forms|form]], and CRM record where technically and legally appropriate. ## Attribution models Last-click attribution gives credit to the final eligible interaction. Data-driven and multi-touch approaches distribute credit differently. Model comparison is useful because a channel that creates discovery may appear weak under a final-touch model, while a closing channel may receive more credit than its independent contribution warrants. Treat attribution as an analytical lens, not an objective reconstruction of causality. Identity gaps, consent choices, offline activity, cross-device behavior, platform boundaries, and model rules all limit what can be observed. Report multiple levels: - Traffic and engagement. - Form or native lead conversions. - Qualified leads and accepted handoffs. - Opportunities, customers, and value. Use consistent [[concepts/lifecycle-and-sales-handoff|lifecycle definitions]] and record model changes. For causal decisions, supplement attribution with controlled experiments, holdouts, or geographic tests when feasible. See [[concepts/experimentation-and-optimization]]. --- title: Direct Marketing Compliance type: concept updated: 2026-07-16 sources: [raw/web_community-can-spam-act-a-compliance-guide-for-business-federal-trade-c.md, raw/web_community-complying-with-the-telemarketing-sales-rule-federal-trade-co.md, raw/web_community-direct-marketing-guidance-ico.md, raw/web_community-plan-direct-marketing-ico.md, raw/web_community-business-to-business-marketing-ico.md] tags: - compliance - privacy - email - telemarketing confidence: medium --- # Direct Marketing Compliance Direct-marketing rules vary by jurisdiction, recipient type, channel, relationship, and message purpose. This page is an operating map, not legal advice. Verify current regulator guidance and obtain counsel for material campaigns. ## United States The FTC's CAN-SPAM guidance covers commercial email, including business-to-business messages. Core duties include accurate routing information, nondeceptive subject lines, identification of advertising where required, a valid postal address, a clear opt-out mechanism, timely honoring of opt-outs, and oversight of vendors sending on the company's behalf. The Telemarketing Sales Rule covers many consumer telemarketing practices. Some business-to-business calls are exempt, but exceptions and other federal or state rules can apply. Covered operations may need National Do Not Call Registry access, entity-specific suppression, calling-time controls, disclosures, and special authorization for prerecorded calls. ## United Kingdom ICO guidance distinguishes corporate subscribers from individual subscribers such as sole traders and some partnerships. Electronic-mail rules can differ by recipient category, while UK GDPR still applies when personal data is processed. Public availability of professional contact details does not remove transparency, lawful-basis, objection, and data-quality obligations. ## Operational controls Before launch, document jurisdiction, audience source, recipient type, purpose, lawful basis or permission where applicable, required disclosures, and retention. Make identity and purpose clear. Maintain centralized unsubscribe, objection, and do-not-call suppression across tools and vendors. Keep evidence of consent where consent is relied upon. Review regulator guidance because requirements evolve. Compliance should be designed into [[concepts/outbound-prospecting]], [[concepts/lead-capture-forms]], and [[concepts/email-deliverability]], not added after a list is assembled. --- title: Email Deliverability type: concept updated: 2026-07-16 sources: [raw/web_community-email-sender-guidelines-gmail-help.md] tags: - email - deliverability - authentication confidence: high --- # Email Deliverability Email deliverability is the ability to reach intended recipients without being rejected, quarantined, or consistently routed to spam. It depends on technical authentication, sender reputation, list quality, message practices, and recipient response. ## Technical baseline Google's published sender guidance requires authentication and infrastructure hygiene. All senders to personal Gmail accounts should use SPF or DKIM, valid forward and reverse DNS, TLS, and standards-compliant message formatting. Senders above Google's bulk threshold have additional requirements including SPF, DKIM, DMARC, domain alignment, and one-click unsubscribe for covered marketing or subscribed messages. Provider requirements can change; verify the live guidance before a major launch. ## Reputation and consent Authentication proves domain authorization, not that a message is wanted. Send to people who reasonably expect the communication, keep acquisition records, honor preferences, remove invalid addresses, and monitor spam complaints and reputation. Sudden volume spikes, deceptive identity, purchased lists, and repeated messaging to disengaged recipients can damage performance. Separate transactional and promotional message purposes operationally where useful, while keeping identity clear. An unsubscribe should be easy to find and process, and suppression should prevent accidental re-entry from imports or new campaigns. ## Diagnosis When performance declines, inspect authentication results, DNS, complaint and bounce patterns, volume changes, audience source, content changes, and provider feedback. Do not respond by merely rotating domains or increasing volume; that hides the underlying issue and can worsen reputation. Deliverability operates alongside [[concepts/direct-marketing-compliance]]. Technical acceptance by a mailbox provider does not determine whether an outreach practice is lawful or appropriate. --- title: Experimentation and Optimization type: concept updated: 2026-07-16 sources: [raw/web_community-run-an-a-b-test-on-a-page.md, raw/web_community-how-to-create-a-landing-page-with-high-roi-expert-and-data-b.md, raw/web_community-create-and-customize-forms.md] tags: - experimentation - ab-testing - optimization confidence: medium --- # Experimentation and Optimization Lead generation optimization is the disciplined improvement of audience, offer, message, experience, and follow-up. A/B testing is one tool within that process. ## Form a testable hypothesis State the expected mechanism before changing the page: “Clarifying the promised output in the headline will increase qualified form completions because visitors can judge relevance faster.” Select a primary metric and guardrails such as lead quality, unsubscribe rate, page performance, or sales acceptance. Change one major idea per comparison when practical. If headline, audience, offer, form, and follow-up all change together, the result cannot identify what mattered. Route traffic according to the testing tool's method and avoid manually favoring a variant. ## Full-path validation The experiment includes more than visual design. Verify: - Source-to-page [[concepts/landing-pages-and-message-match|message match]]. - Mobile rendering and accessibility. - Every [[concepts/lead-capture-forms|form]] branch and error state. - Thank-you or delivery behavior. - CRM data, assignment, notifications, and campaign tracking. - Follow-up quality and timing. Do not declare a winner from an early fluctuation or from an arbitrary small sample. Predefine the evaluation window and decision rule using traffic and business risk appropriate to the test. ## Optimize for outcomes A higher conversion rate can be harmful if it attracts poor-fit records, obscures expectations, or creates unwanted contact. Review downstream qualification, opportunity progression, customer value, and negative signals. Record the hypothesis, dates, variants, allocation, result, and implementation decision so the organization does not repeat inconclusive tests. --- title: Ideal Customer Profile and Buyer Personas type: concept updated: 2026-07-16 sources: [raw/web_community-ideal-customer-profiles-and-buyer-personas-how-are-they-diff.md] tags: - targeting - icp - personas confidence: high --- # Ideal Customer Profile and Buyer Personas An ideal customer profile (ICP) describes the type of organization most likely to receive substantial value from an offering and to be commercially viable to serve. A buyer persona describes a person involved in evaluating, buying, using, or influencing that offering. ## Different jobs The ICP is a prequalification filter. Common criteria include industry, company size, geography, operating model, budget range, technical environment, maturity, and problems the product can realistically solve. Personas guide communication inside those target accounts. They capture a role's responsibilities, goals, constraints, objections, information needs, and influence over the decision. One account can contain economic buyers, technical evaluators, end users, legal or security reviewers, and internal champions. ## Practical use Use the ICP to decide: - Which accounts, audiences, keywords, events, and partnerships deserve investment. - Which prospects should be excluded before expensive outreach begins. - What minimum fit data belongs in forms, enrichment, or research. Use personas to decide: - Which problem and outcome should lead the message. - What evidence, terminology, and call to action fit the recipient. - Which stakeholders must be enabled during qualification and sales handoff. An ICP without personas produces broad account targeting with generic messages. Personas without an ICP can produce persuasive content aimed at organizations that cannot benefit or buy. Revisit both using observed conversion quality, sales outcomes, retention, and product value—not only campaign engagement. They anchor [[concepts/inbound-channel-selection]], [[concepts/outbound-prospecting]], and [[concepts/lead-qualification]]. --- title: Inbound Channel Selection type: concept updated: 2026-07-16 sources: [raw/web_community-how-to-create-and-execute-a-successful-lead-gen-strategy.md, raw/web_community-how-to-create-a-lead-generation-website-9-simple-optimizatio.md, raw/web_community-url-builders-collect-campaign-data-with-custom-urls-analytic.md] tags: - inbound - channels - acquisition confidence: medium --- # Inbound Channel Selection Inbound lead generation helps potential buyers discover useful information or an offer through channels such as organic search, educational content, paid search, social distribution, communities, events, referrals, and partner audiences. ## Selection criteria Choose channels from customer behavior and economics rather than from popularity. Evaluate: - Whether the [[concepts/ideal-customer-profile-and-personas|target audience]] uses the channel while researching the relevant problem. - Whether the channel supports the necessary message, evidence, and [[concepts/lead-magnets-and-offers|offer]]. - Expected time to learn: search and content can compound slowly; paid channels can create faster tests but require budget. - Ability to target, measure, and connect activity to lifecycle outcomes. - Operational capacity to create, distribute, and refresh material consistently. Use a portfolio rather than assuming one channel must do every job. Search may capture active demand, educational content may develop awareness, events may create richer conversations, and retargeting may reconnect with known interest. The mix depends on the buying process and market. ## Measurement Give campaigns consistent source, medium, and campaign identifiers. Compare conversion quality across channels using [[concepts/campaign-tracking-and-attribution]], and avoid ranking channels solely by click-through rate or cost per form submission. A channel may create many inexpensive records that rarely qualify. Run limited, explicit tests: audience, promise, offer, creative, or destination. Keep enough continuity to learn before shifting resources. Inbound is paired with [[concepts/outbound-prospecting]] when a market has a small known account set, limited existing demand, or a need for direct stakeholder engagement. --- title: Landing Pages and Message Match type: concept updated: 2026-07-16 sources: [raw/web_community-how-to-create-a-landing-page-with-high-roi-expert-and-data-b.md, raw/web_community-create-and-customize-pages.md, raw/web_community-create-calls-to-action-ctas.md, raw/web_community-how-to-create-a-lead-generation-website-9-simple-optimizatio.md] tags: - landing-pages - conversion - message-match confidence: high --- # Landing Pages and Message Match A campaign landing page is a focused destination built around one primary conversion goal. It should continue the promise made by the advertisement, email, search result, social post, referral, or call to action that sent the visitor. ## Essential structure A practical page usually contains: - A headline that restates the audience, problem, or promised outcome. - A concise explanation of the [[concepts/lead-magnets-and-offers|offer]] and its value. - Evidence appropriate to the claim, such as examples, customer proof, process details, or limitations. - One prominent call to action and a [[concepts/lead-capture-forms|form]] or clear path to it. - Privacy and expectation-setting language appropriate to the data collected. Remove navigation and secondary actions when they distract from the campaign goal. This is not a universal rule for every website page; it is a way to reduce ambiguity on focused campaign destinations. ## Message match Match the page's terminology, offer, audience, and visual cues to its source. If an ad promises a checklist for a specific role, the page should not lead with a broad company pitch. Strong message match helps visitors confirm quickly that they arrived in the right place. After submission, deliver the promised item or show a thank-you page that confirms success, explains what happens next, and offers a relevant next step without obscuring the original commitment. Before launch, test mobile layout, loading behavior, form validation, consent elements, confirmation messages, CRM routing, notifications, and campaign parameters. Use [[concepts/experimentation-and-optimization]] to test meaningful hypotheses rather than changing many elements at once. --- title: Lead Capture Forms type: concept updated: 2026-07-16 sources: [raw/web_community-create-and-customize-forms.md, raw/web_community-how-to-create-a-lead-generation-website-9-simple-optimizatio.md] tags: - forms - data-quality - conversion confidence: high --- # Lead Capture Forms A lead capture form turns an interaction into a record that can be delivered, measured, qualified, and followed up. Form design therefore affects conversion, data quality, routing, privacy, and the future customer experience. ## Field strategy Request the minimum information needed for the promised next step. An email may be enough to deliver a resource; a consultation may require company, role, problem, or timing. Required fields should have a clear operational purpose. Map fields to stable CRM properties and standardize controlled values where reporting or routing depends on them. Hidden fields can carry campaign context, but they should not silently substitute inferred data for information that requires disclosure or consent. ## Flow and logic Multi-step and conditional forms can reveal questions only when relevant. Keep dependencies understandable and test every branch. Privacy notices, consent controls, and anti-abuse mechanisms require special care and should not be hidden by ordinary qualification logic. Configure the post-submit behavior explicitly: - Show a clear confirmation or redirect to a thank-you page. - Deliver the [[concepts/lead-magnets-and-offers|offer]] or explain when it will arrive. - Set appropriate lifecycle fields without falsely declaring sales readiness. - Notify or assign the responsible team when human action is required. - Preserve campaign data for [[concepts/campaign-tracking-and-attribution]]. ## Quality assurance Previewing appearance is not enough. Submit test records from desktop and mobile, verify validation and error states, inspect the CRM record, confirm attribution values, check owner assignment and notifications, and verify that unsubscribe or preference data is respected. Monitor spam submissions and duplicate records without making legitimate completion unnecessarily difficult. --- title: Lead Generation Funnel type: concept updated: 2026-07-16 sources: [raw/web_community-how-to-create-and-execute-a-successful-lead-gen-strategy.md, raw/web_community-how-to-create-a-lead-generation-website-9-simple-optimizatio.md, raw/web_community-use-contact-and-company-lifecycle-stages.md] tags: - funnel - conversion - lifecycle confidence: medium --- # Lead Generation Funnel A lead generation funnel is the path from attracting a relevant audience to creating a sales-ready opportunity. A useful funnel is not merely a sequence of page views. It joins acquisition, permission-based capture, qualification, follow-up, and commercial outcomes. ## Core stages 1. **Attract:** Reach people through search, content, advertising, social channels, events, referrals, or direct prospecting. 2. **Convert:** Present a relevant [[concepts/lead-magnets-and-offers|offer]] and a clear call to action. The visitor reaches a focused [[concepts/landing-pages-and-message-match|landing page]] or native lead form. 3. **Capture:** Collect only the information needed for the next action through a [[concepts/lead-capture-forms|form]] and record consent or communication preferences where required. 4. **Qualify:** Evaluate fit and intent using [[concepts/lead-qualification|qualification]] and, where useful, [[concepts/lead-scoring|scoring]]. 5. **Handoff and nurture:** Route qualified leads to sales while keeping other legitimate leads in an appropriate follow-up path. 6. **Measure:** Connect campaigns to lifecycle progression, opportunities, and revenue—not only raw lead totals. ## Funnel design principle Each stage should make the next step explicit. A campaign promise should match the landing page, the form should match the value being offered, and the follow-up should match what the person requested. Breaks in that continuity create low-quality conversions or mistrust. The stages are analytical boundaries, not universal buying behavior. People can enter through referrals, product trials, events, or outbound conversations and skip stages. Define lifecycle rules in the CRM so teams interpret the same record consistently. See [[concepts/lifecycle-and-sales-handoff]] and [[concepts/campaign-tracking-and-attribution]]. --- title: Lead Magnets and Offers type: concept updated: 2026-07-16 sources: [raw/web_community-how-to-create-and-execute-a-successful-lead-gen-strategy.md, raw/web_community-how-to-create-a-lead-generation-website-9-simple-optimizatio.md] tags: - offers - content - conversion confidence: medium --- # Lead Magnets and Offers A lead magnet is a resource or experience offered in exchange for information or permission to continue the conversation. Examples include guides, checklists, templates, webinars, assessments, trials, demos, consultations, and event registrations. ## Offer quality A strong offer solves a specific problem for a defined audience. It should be useful before a purchase, close enough to the product's value that it attracts plausible buyers, and substantial enough to justify the requested information. Evaluate an offer on four dimensions: - **Relevance:** Does it address a priority of the [[concepts/ideal-customer-profile-and-personas|target account or persona]]? - **Specificity:** Is the promised outcome concrete and understandable? - **Credibility:** Does the page provide appropriate proof, examples, authorship, or limitations? - **Exchange fairness:** Is the form burden proportional to the value and next step? ## Offer ladder Offers can support different levels of intent. Educational resources fit early exploration; assessments, comparisons, or workshops may reveal active evaluation; trials, demos, and consultations often signal a willingness to discuss a solution. Do not assume that downloading content makes someone sales-ready. Combine the offer context with fit, behavior, and direct qualification. The campaign should preserve message continuity: source message → call to action → [[concepts/landing-pages-and-message-match|landing page]] → [[concepts/lead-capture-forms|form]] → delivery or thank-you page → follow-up. State what happens after submission and deliver the promised resource promptly. Treat formats and topics as hypotheses. Measure not only conversion rate but also qualified-lead rate, progression, and downstream value. An offer that produces fewer but better-fitting leads can outperform one optimized for volume. --- title: Lead Qualification type: concept updated: 2026-07-16 sources: [raw/web_community-what-is-lead-qualification-and-how-does-it-work-salesforce.md, raw/web_community-effective-lead-qualification-with-scoring-grading.md] tags: - qualification - discovery - sales confidence: high --- # Lead Qualification Lead qualification determines whether an organization has a problem the offering can solve, is a viable customer, and has a plausible path toward a decision. It protects both sides from spending time on a poor fit. ## Qualification dimensions Common dimensions include: - **Fit:** Industry, size, use case, geography, technical environment, or other [[concepts/ideal-customer-profile-and-personas|ICP]] criteria. - **Need:** The problem, its consequences, and why it matters now. - **Authority:** Who owns the problem, evaluates solutions, controls resources, and approves the decision. - **Resources:** Budget or a credible process for allocating it. - **Timing:** Trigger event, urgency, constraints, and expected decision path. - **Interest:** Evidence that the person is willing to investigate or act. Frameworks such as BANT, CHAMP, and more complex enterprise methods can organize discovery, but they should be question guides rather than rigid scripts. The order and depth should match the buying context. ## Outcomes Qualification should produce an explicit outcome: advance, nurture, refer elsewhere, or disqualify. Record both the decision and the evidence behind it. Valid disqualification can include no relevant need, an incompatible operating context, no credible ability to buy, or a request not to continue. Qualification is not the same as [[concepts/lead-scoring]]. A score ranks records using selected signals; qualification is a reasoned assessment that can incorporate conversation, context, and exceptions. Automating preliminary fit checks is useful, but high-impact decisions should remain reviewable. Clear qualification criteria improve [[concepts/lifecycle-and-sales-handoff]] by telling marketing and sales what information is required before a record advances. --- title: Lead Scoring type: concept updated: 2026-07-16 sources: [raw/web_community-understand-the-lead-scoring-tool.md, raw/web_community-effective-lead-qualification-with-scoring-grading.md] tags: - scoring - prioritization - automation confidence: high --- # Lead Scoring Lead scoring assigns points or categories to selected signals so teams can prioritize records consistently. It is a ranking mechanism, not proof that a person wants to buy. ## Signal groups Separate two questions: - **Fit:** Does the account or person resemble the [[concepts/ideal-customer-profile-and-personas|target customer]]? - **Engagement:** Has the person taken actions that plausibly indicate interest? Fit signals may include industry, company size, geography, role, or technical requirements. Engagement signals may include form submissions, product actions, event attendance, repeated high-intent page visits, or replies. A combined view can prevent highly active poor-fit records and inactive good-fit accounts from being treated identically. ## Model design Assign more weight to signals closer to meaningful intent. Cap repeated weak actions so they do not overwhelm stronger evidence. Use negative points for known incompatibility or declining engagement, and consider time decay when old behavior should matter less. Define thresholds from observed outcomes, then validate them against qualified conversations, opportunities, and customers. Review false positives and false negatives with sales. Different products, regions, or motions may require separate models. Keep the model interpretable. A user should be able to explain why a record received a score and what action the threshold triggers. Do not encode protected or sensitive attributes, unreliable proxies, or hidden inferences merely because they correlate with conversion. Scoring can trigger routing, nurture, or review, but [[concepts/lead-qualification]] remains the broader judgment. Document changes so historical performance and [[concepts/campaign-tracking-and-attribution]] are not misread after a model revision. --- title: Lifecycle and Sales Handoff type: concept updated: 2026-07-16 sources: [raw/web_community-use-contact-and-company-lifecycle-stages.md, raw/web_community-create-and-customize-forms.md] tags: - lifecycle - crm - handoff confidence: high --- # Lifecycle and Sales Handoff Lifecycle stages provide shared definitions for a record's commercial relationship. A common progression is subscriber, lead, marketing-qualified lead (MQL), sales-qualified lead (SQL), opportunity, and customer, although every organization should define terms that fit its process. ## Definition before automation For each stage, document: - Entry criteria and required evidence. - Who owns the record and the next action. - What event or decision advances it. - What returns it to nurture or disqualifies it. - Which timestamp and reason fields must be retained. An MQL should not mean “reached an arbitrary score” unless the score has been validated. An SQL should reflect an agreed sales-readiness rule. Opportunity creation should have a defined commercial event, not merely a meeting booked. ## Handoff contract A dependable handoff transfers context, not just a name and email. Include source and campaign, [[concepts/lead-magnets-and-offers|offer]] or request, fit data, relevant engagement, qualification notes, consent or channel preferences, owner, and promised response timing. Automations can assign owners, create tasks, send internal notifications, and identify stalled records. They should not silently overwrite stronger lifecycle evidence or move records backward without a documented rule. Track dates entered and exited so teams can measure delay and leakage. Marketing and sales should review rejected or returned leads together. That feedback improves [[concepts/lead-scoring]], forms, targeting, and qualification criteria. Measure handoff health through acceptance, response time, progression, and outcome quality—not only the number of MQLs delivered. --- title: Outbound Prospecting type: concept updated: 2026-07-16 sources: [raw/web_community-sales-prospecting-43-skills-tips-techniques-templates-tools-.md, raw/web_community-ideal-customer-profiles-and-buyer-personas-how-are-they-diff.md, raw/web_community-can-spam-act-a-compliance-guide-for-business-federal-trade-c.md, raw/web_community-business-to-business-marketing-ico.md] tags: - outbound - prospecting - personalization confidence: medium --- # Outbound Prospecting Outbound prospecting initiates contact with selected organizations or people rather than waiting for them to convert through an inbound asset. It is most useful when the target market can be identified, the problem is material, and a relevant message can be supported by credible research. ## Prospecting sequence 1. Use the [[concepts/ideal-customer-profile-and-personas|ICP]] to define eligible accounts and roles. 2. Prioritize evidence of fit or change, such as hiring, expansion, technology shifts, public initiatives, or a clearly relevant operating problem. 3. Form a hypothesis about the recipient's context; do not present unverified research as fact. 4. Write a concise message that connects the observed context to a useful outcome or resource. 5. Ask for a specific, proportionate next step. 6. Record attempts, replies, objections, preferences, and outcomes in the CRM. Personalization should improve relevance, not imitate familiarity or expose sensitive inferences. Channel choice—email, phone, professional network, event, referral, or direct mail—must fit audience expectations and applicable rules. ## Guardrails High-volume “spray and pray” outreach weakens learning because poor targeting, weak offers, and deliverability problems become entangled. Test one major variable at a time and assess qualified conversations, opportunities, and negative feedback. Outbound activity remains subject to [[concepts/direct-marketing-compliance]] and [[concepts/email-deliverability]]. Publicly available contact details are not a blanket permission to contact someone without limits. Maintain suppression and do-not-contact records, make identity and purpose clear, and stop or adjust outreach when a recipient objects. See [[syntheses/inbound-vs-outbound]] for channel tradeoffs and [[concepts/lead-qualification]] for converting a response into a defensible next step. --- title: LinkedIn Lead Gen Forms type: entity updated: 2026-07-16 sources: [raw/web_community-lead-gen-forms-linkedin-help.md, raw/web_community-how-to-use-linkedin-lead-gen-forms.md] tags: - linkedin - native-forms - advertising confidence: high --- # LinkedIn Lead Gen Forms LinkedIn Lead Gen Forms are native forms attached to supported LinkedIn advertising. They can prefill member profile information and let a prospect submit without first completing a form on the advertiser's website. ## Campaign role Native forms reduce the transition between ad and submission. They are useful when mobile friction or page-loading complexity would otherwise interrupt the path. The tradeoff is that the experience and some measurement occur inside a platform rather than on a controlled [[concepts/landing-pages-and-message-match|landing page]]. Configure the form around a specific [[concepts/lead-magnets-and-offers|offer]]. Use a clear headline, describe what the person receives, link the required privacy policy, select only fields needed for delivery or [[concepts/lead-qualification]], and define the confirmation message and next step. ## Operations Before launch, verify: - The ad promise and form copy match. - CRM field mapping and campaign identifiers are correct. - New submissions reach the intended owner or nurture path promptly. - Required disclosures and follow-up expectations are clear. - Test leads can be identified and excluded from reporting. Exporting leads manually creates delay and operational risk. Where volume or response speed matters, use a supported integration or controlled process, and monitor failures. Compare native-form performance with website-form performance using qualified outcomes, not just platform-reported cost per lead. Prefilled forms may increase submission volume while producing different intent signals. Preserve platform, campaign, creative, offer, and submission context in the CRM for [[concepts/campaign-tracking-and-attribution]]. --- title: Lead Generation Wiki Log type: log updated: 2026-07-16 sources: [] --- # Curation Log ## 2026-07-16 — Initial build - Gathered 23 sources from regulator, platform, CRM, analytics, and practitioner documentation. - Curated 18 medium-rung pages: 14 concepts, one entity, one source summary, and two cross-source syntheses. - Excluded transient benchmark claims and unsupported performance guarantees. - Separated product-specific mechanics from general operating recommendations. - Marked compliance and strategic synthesis pages medium confidence because applicability depends on jurisdiction, market, and current platform requirements. - Prioritized future refreshes for direct-marketing rules, mailbox-provider requirements, and platform-specific workflows. --- title: Source and Trust Map type: summary updated: 2026-07-16 sources: [raw/web_community-email-sender-guidelines-gmail-help.md, raw/web_community-can-spam-act-a-compliance-guide-for-business-federal-trade-c.md, raw/web_community-complying-with-the-telemarketing-sales-rule-federal-trade-co.md, raw/web_community-business-to-business-marketing-ico.md, raw/web_community-create-and-customize-forms.md, raw/web_community-use-contact-and-company-lifecycle-stages.md, raw/web_community-url-builders-collect-campaign-data-with-custom-urls-analytic.md] tags: - sources - trust - maintenance confidence: high --- # Source and Trust Map This wiki combines three kinds of evidence. Use them differently. ## Regulatory guidance FTC sources support the US commercial-email and telemarketing summaries. ICO sources support UK direct-marketing and business-to-business privacy distinctions. These are authoritative for regulator guidance but remain jurisdiction-specific and time-sensitive. Consult the live source before operational or legal decisions. ## Platform documentation Google documentation supports campaign parameters, attribution concepts, and Gmail sender requirements. LinkedIn documentation supports its native lead-form mechanics. HubSpot and Salesforce documentation supports CRM lifecycle, forms, scoring, qualification, page testing, and related workflows. Platform documentation is authoritative about the named product, not a universal mandate. Features, plan availability, interfaces, thresholds, and terminology can change. The wiki generalizes mechanics only where the operating pattern is broader than the product. ## Practitioner guidance Vendor educational articles provide useful patterns for ICPs, landing pages, lead magnets, websites, and prospecting. Treat prescriptive advice and performance claims as practitioner guidance rather than neutral scientific evidence. This wiki omits transient benchmark statistics and reframes recommendations as testable operating choices. ## Confidence interpretation **High confidence** indicates direct support for a stable definition or documented mechanism. **Medium confidence** indicates synthesis, cross-source generalization, or a time- and context-sensitive recommendation. Confidence does not indicate legal applicability, business impact, or freshness. The raw source snapshot was gathered on 2026-07-16. Refresh [[concepts/email-deliverability]], [[concepts/direct-marketing-compliance]], and platform-specific pages first because they are most likely to drift. --- title: Inbound vs Outbound Lead Generation type: synthesis updated: 2026-07-16 sources: [raw/web_community-how-to-create-and-execute-a-successful-lead-gen-strategy.md, raw/web_community-sales-prospecting-43-skills-tips-techniques-templates-tools-.md, raw/web_community-ideal-customer-profiles-and-buyer-personas-how-are-they-diff.md, raw/web_community-url-builders-collect-campaign-data-with-custom-urls-analytic.md] tags: - inbound - outbound - decision-guide confidence: medium --- # Inbound vs Outbound Lead Generation Inbound and outbound are complementary ways to create relevant commercial conversations. | Dimension | Inbound | Outbound | |---|---|---| | Starting point | The prospect discovers content or an offer | The seller selects and contacts a prospect | | Strong fit | Existing demand, searchable problems, scalable education | Small account universe, new category, identifiable trigger events | | Main asset | Content, distribution, offer, conversion path | ICP, research, message, channel, follow-up | | Typical risk | Traffic without qualified progression | Volume without relevance, permission, or deliverability | | Learning signal | Source-to-lifecycle performance | Replies, qualified conversations, objections, progression | ## Decision guide Favor [[concepts/inbound-channel-selection|inbound]] when buyers actively research the problem, useful material can earn attention, and the organization can sustain distribution and measurement. Favor [[concepts/outbound-prospecting|outbound]] when target accounts are identifiable, the value is concentrated, and direct stakeholder engagement is necessary. Use both when they reinforce one another. Outbound research can reveal objections and language for content. Inbound engagement can identify accounts or topics for careful follow-up. Account-focused campaigns can coordinate advertising, content, events, and sales outreach around the same account hypothesis. Do not compare the motions using raw lead volume alone. Establish a shared [[concepts/ideal-customer-profile-and-personas|ICP]], [[concepts/lead-qualification|qualification rules]], lifecycle, and value metric. Then compare cost, time, acceptance, opportunity progression, customer value, and negative externalities such as complaints or unsubscribes. The correct mix changes with market maturity, contract value, sales capacity, brand strength, and channel economics. Treat allocation as a portfolio decision and change it through measured experiments rather than allegiance to one motion. --- title: Lead Generation Operating System type: synthesis updated: 2026-07-16 sources: [raw/web_community-how-to-create-and-execute-a-successful-lead-gen-strategy.md, raw/web_community-create-and-customize-forms.md, raw/web_community-understand-the-lead-scoring-tool.md, raw/web_community-use-contact-and-company-lifecycle-stages.md, raw/web_community-url-builders-collect-campaign-data-with-custom-urls-analytic.md, raw/web_community-email-sender-guidelines-gmail-help.md] tags: - operations - planning - measurement confidence: medium --- # Lead Generation Operating System A lead generation operating system connects market definition, campaigns, data, follow-up, and learning. Its purpose is to create repeatable qualified demand without separating marketing volume from sales and customer outcomes. ## Build sequence 1. Define the [[concepts/ideal-customer-profile-and-personas|ICP and buying roles]]. 2. Select a problem, audience, promise, and [[concepts/lead-magnets-and-offers|offer]]. 3. Choose an [[concepts/inbound-channel-selection|inbound]], [[concepts/outbound-prospecting|outbound]], or combined motion. 4. Build the conversion path and [[concepts/lead-capture-forms|data contract]]. 5. Define [[concepts/lead-qualification|qualification]], [[concepts/lead-scoring|prioritization]], and [[concepts/lifecycle-and-sales-handoff|handoff]] before launch. 6. Implement [[concepts/campaign-tracking-and-attribution|campaign tracking]] and outcome reporting. 7. Validate deliverability, privacy, and [[concepts/direct-marketing-compliance|compliance controls]]. 8. Launch a bounded test, review the full path, and improve through [[concepts/experimentation-and-optimization]]. ## Minimum operating artifacts Maintain a written ICP, offer brief, campaign naming convention, form-field dictionary, lifecycle definitions, routing rules, suppression process, test checklist, and decision log. Assign an owner to each stage and define response expectations. ## Review cadence Weekly operational review should identify broken routing, delayed follow-up, unusual deliverability, low-quality sources, and active tests. A broader periodic review should compare channels and offers using qualified progression and value, audit scoring and lifecycle definitions, and retire campaigns that no longer justify their cost or risk. The system should remain explainable. Teams must be able to trace why a person was contacted, what they requested, how they were scored or qualified, who owns the next action, and which evidence supports the campaign decision.