HubSpot Inbound cheat sheet

Inbound methodology stages: Attract (draw visitors with valuable content), Engage (convert leads and build relationships), Delight (provide ongoing support and value).

Flywheel model replaces the funnel: forces are attract (pull people in), engage (interact and convert), delight (create promoters who fuel more attraction).

Buyer persona: semi-fictional representation of ideal customer based on market research, demographics, behavioral patterns, motivations, and goals.

Content offers: lead magnets (ebooks, templates, webinars) exchanged for contact information; the value must outweigh the perceived cost of sharing data.

Inbound vs outbound: inbound earns attention through relevance and helpful content; outbound interrupts with ads and cold outreach.

SMART goals: Specific, Measurable, Achievable, Relevant, Time-bound; each campaign objective should map to a measurable KPI like MQLs or conversion rate.

Lead lifecycle stages: Subscriber → Lead → Marketing Qualified Lead (MQL) → Sales Qualified Lead (SQL) → Opportunity → Customer → Evangelist.

Lead scoring: assign points based on fit (demographic) and engagement (behavioral); thresholds trigger lifecycle stage changes or sales alerts.

Buyer persona components: demographic data (age, role, income), psychographic data (values, interests), pain points, goals, preferred channels, and buying process.

Jobs-to-be-done (JTBD) framework: customers hire products to make progress in a specific circumstance; focus on the job, not the customer profile alone.

Customer journey mapping: document stages (awareness, consideration, decision, retention, advocacy) and the touchpoints, emotions, and barriers at each.

Voice-of-customer (VoC) research: interviews, surveys, reviews, and support tickets reveal the language customers use; mirror that language in content.

Negative personas: describe customers who are not a good fit (too expensive to serve, low lifetime value, poor product match) to help exclude them from targeting.

Segmentation bases: demographic, geographic, psychographic, behavioral; B2B adds firmographic (industry, size, revenue) and technographic data.

Empathy mapping: capture what the customer says, thinks, does, and feels to surface unspoken needs and objections.

Primary research methods: one-on-one interviews (qualitative depth), surveys (quantitative breadth), focus groups (group dynamics but risk of bias).

Awareness stage content: educational, problem-focused (blog posts, infographics, social content); goal is to attract and inform, not sell.

Consideration stage content: solution-focused (comparison guides, webinars, case studies, whitepapers); goal is to help evaluate options.

Decision stage content: vendor-focused (free trials, demos, pricing pages, testimonials, ROI calculators); goal is to justify the purchase.

Content formats by effort: low (social posts, short videos), medium (blog articles, email sequences), high (ebooks, webinars, interactive tools).

Content audit: inventory existing assets, map each to journey stage and persona, identify gaps and underperforming pieces to update or retire.

Pillar-cluster model: a comprehensive pillar page targets a broad topic; cluster pages cover subtopics and interlink to the pillar to build topical authority.

Content repurposing: turn one asset (e.g., webinar) into blog posts, social snippets, email series, and a downloadable guide to maximize ROI.

SEO fundamentals: keyword research aligned to journey stage, on-page optimization (title, headings, meta description), and internal linking to relevant offers.

Owned media: website, blog, email list, social profiles - full control but requires audience building; earned media: PR, shares, reviews - credibility but no control.

Paid media: search ads, social ads, sponsored content, retargeting - immediate reach but costs scale with competition; use for amplification of proven organic content.

Distribution channel selection: match channel to persona's preferred platforms and journey stage; measure cost per lead (CPL) and conversion rate per channel.

Content calendar: plan cadence, themes, and owners; align with product launches, seasonal events, and sales enablement needs.

Email distribution: segmented lists, personalized subject lines, clear CTAs; measure open rate, click-through rate (CTR), and unsubscribe rate.

Social distribution: platform-native formats (short video, carousels, threads); repurpose content per platform rather than cross-posting identical assets.

Distribution metrics: reach (impressions), engagement (likes, shares, comments), traffic (sessions, referral sources), and conversion (leads, downloads).

Syndication and partnerships: co-marketing, guest posting, content syndication networks extend reach but may dilute SEO value if duplicate content is not canonicalized.

Behavioral marketing: use observed actions (page views, email clicks, downloads, purchases) to trigger personalized content, offers, or messages.

Behavioral segmentation: group contacts by engagement level (active, passive, lapsed), purchase history, content preferences, or lifecycle stage.

List segmentation criteria: demographic/firmographic fit, behavioral signals, lifecycle stage, source, and explicit preferences (topic interests).

Dynamic lists: membership updates automatically based on criteria (e.g., visited pricing page in last 7 days); static lists are manual snapshots.

Personalization tokens: merge fields (first name, company, industry) in emails and landing pages increase relevance; always include fallback values.

Lead scoring inputs: email opens/clicks, page visits, form submissions, content downloads; negative scoring for unsubscribes, job changes, or inactivity.

RFM analysis: Recency, Frequency, Monetary value - segment customers by purchase behavior to prioritize retention and upsell efforts.

Privacy compliance: obtain consent for tracking and email (GDPR, CAN-SPAM); honor opt-outs and provide clear data-use explanations.

ROI formula: (Revenue − Marketing Cost) / Marketing Cost × 100; express as a percentage or ratio.

Attribution models: first-touch (credits first interaction), last-touch (credits final interaction), linear (equal credit across touchpoints), time-decay (more credit to recent), position-based (U-shaped: 40% first, 40% last, 20% middle).

Multi-touch attribution (MTA): distributes credit across all touchpoints; requires consistent tracking (UTM parameters, cookies, CRM integration).

UTM parameters: utm_source, utm_medium, utm_campaign, utm_term, utm_content; consistent naming conventions prevent fragmented reporting.

A/B test design: single variable, random assignment, sufficient sample size, pre-defined success metric, and statistical significance (typically 95% confidence).

Statistical significance: p-value < 0.05 indicates result unlikely due to chance; avoid peeking early or stopping tests prematurely.

Cohort analysis: group users by shared characteristic (signup month, acquisition channel) and compare behavior over time to isolate campaign effects.

Incrementality testing: holdout groups or geo-experiments measure the true lift of a campaign beyond correlation.

Workflow triggers: contact property changes, form submissions, page visits, email engagement, list membership, or dates; actions include emails, tasks, list changes, and webhooks.

Lead nurturing workflow: series of automated emails with branching logic based on engagement (opened/clicked) and fit; goal is to advance lifecycle stage.

Marketing automation vs CRM: automation platform manages marketing interactions and scoring; CRM manages sales pipeline and customer relationships; integration syncs data both ways.

AI in marketing: predictive lead scoring, send-time optimization, content recommendations, chatbots, and natural language generation for copy variations.

Chatbots: rule-based (decision trees) vs AI-powered (NLP); use for qualification, FAQs, and meeting booking; always provide human handoff.

Predictive analytics: use historical data to forecast lead conversion likelihood, churn risk, or next-best offer; requires sufficient clean data.

Automation best practices: map the customer journey first, use clear naming conventions, test workflows with test contacts, and monitor for errors.

Compliance in automation: honor opt-outs automatically, include unsubscribe links, and avoid over-mailing (frequency caps) to protect deliverability.