HubSpot Inbound Marketing flashcards

32 cards. Read the term and the definition here. The deck at the top of this page is optional.

Pillar page

A comprehensive page covering a broad topic in depth, linked to and from multiple cluster posts on subtopics. It consolidates internal linking and signals topical authority to search engines.

Topic cluster

A group of related content pieces linked to a central pillar page. Internal links concentrate ranking signals on a defined keyword set instead of scattering authority across unrelated posts.

Search intent

The goal behind a query: informational (learn), commercial (compare), transactional (buy), or navigational (find a site). Content format should match the dominant intent for the target keyword.

Content audit decision

Classifying each URL as keep, update, consolidate, or remove. Consolidating overlapping posts into one stronger URL typically outperforms publishing another near-duplicate page.

Buyer persona inputs

Role, goals, pain points, objections, and preferred content format. These drive content decisions; demographic details alone rarely change what content should be produced.

Content calendar fields

Target keyword, funnel stage, persona, owner, publish date, and CTA destination. A post with no defined next step sends readers nowhere and wastes the traffic.

Lead conversion rate

Leads captured divided by visitors to the offer page. Track form view-to-submit rate separately to distinguish form friction from poor traffic quality.

Progressive profiling

Collecting a few fields on the first conversion and requesting additional fields on later conversions. It reduces initial friction while enriching contact records over time.

Lead scoring components

Fit attributes (role, company size, industry) plus engagement signals (opens, page views, form submissions). Negative scoring for disqualifying attributes keeps low-value leads out of sales queues.

MQL to SQL handoff

A shared, written definition of when marketing-qualified leads become sales-qualified. Without agreed criteria, sales rejects marketing leads and attribution disputes follow.

List growth rate

(New subscribers minus unsubscribes) divided by total subscribers for the period. High gross adds with high churn can hide a list that is actually shrinking.

Landing page conversion essentials

One conversion goal, no site navigation, a benefit-led headline, visible proof such as testimonials or logos, and a form reachable above the fold on mobile screens.

Workflow enrollment criteria

Rules defining which contacts enter an automation. Re-enrollment settings determine whether a contact can loop again, preventing duplicates or missed re-engagement.

Workflow goal criteria

Conditions that remove a contact from a workflow when met. A goal turns a fixed drip into a responsive sequence that stops once the desired action occurs.

Suppression lists

Groups of contacts excluded from a send or workflow. They prevent conflicting or redundant messages when a contact qualifies for several overlapping automations.

Send frequency cap

A limit on how many emails a contact receives in a period. Caps and quiet hours reduce fatigue when contacts belong to multiple active workflows.

Lifecycle stage automation

Updating lifecycle stage from real behavior, such as a closed deal or purchase event, rather than from a form submission. Mis-set stages corrupt every downstream funnel report.

Workflow test plan

Enroll a seeded test contact with a real inbox and verify personalization tokens, links, delays, and branch logic before enabling. Broken tokens in a live send damage trust.

Inbound methodology stages

Attract, engage, and delight. Each stage maps to specific tactics and metrics, so performance is judged per stage rather than by a single campaign number.

Flywheel model

A replacement for the funnel metaphor in which happy customers drive referrals, word of mouth, and repeat purchase, feeding new contacts back into the attract stage.

Buyer's journey stages

Awareness, consideration, and decision. Content and CTAs must match the stage a contact is actually in, not the stage marketing assumes.

Smarketing alignment

Shared goals, shared MQL and SQL definitions, and a service-level agreement on lead follow-up time between sales and marketing. Alignment removes the blame cycle.

Contextual marketing

Personalizing CTAs and content using known contact data such as page history, lifecycle stage, or list membership, instead of showing every visitor one generic path.

Delight metrics

Customer health, support resolution, net promoter score, and referral rate. These measure whether the flywheel accelerates after the sale rather than stopping at conversion.

Conversion rate formula

Conversions divided by total visitors, multiplied by 100. Always state the denominator - sessions, contacts, or form views - because the same numerator gives different rates.

Attribution models

First touch credits the first interaction, last touch the closing one, linear splits credit evenly, and multi-touch distributes across touchpoints. Choose the model to fit the question.

Click-to-open rate

Clicks divided by opens, whereas click-through rate is clicks divided by delivered. CTOR measures email content relevance; CTR also reflects deliverability and subject line performance.

Bounce rate vs exit rate

Bounce rate is single-page sessions divided by all sessions. Exit rate is exits from a page divided by that page's views. They answer different questions about page performance.

Customer acquisition cost

Total sales and marketing spend divided by new customers acquired in the period. Compare CAC to customer lifetime value; a commonly cited healthy LTV:CAC ratio is about 3:1.

ROI and ROMI formula

(Revenue minus cost) divided by cost, times 100. ROMI applies the same formula to campaign spend using attributed revenue, with the attribution model disclosed.

Funnel analysis consistency

Each funnel stage must use a consistent denominator and time period. Comparing MQL counts to SQL counts from different periods produces false conversion rates.

Leading vs lagging indicators

Leading indicators such as traffic, MQLs, and pipeline created predict future results. Lagging indicators such as revenue and retention confirm them. Dashboards should separate the two.