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Reference build · Phase 1 of 4

Strategy and research for a fictional B2B SaaS launch.

How the catalog composes from blank brief to launch-ready foundation. Real research; fictional product.

Demonstration notice

This walkthrough is a demonstration. Threshold is a fictional product built to illustrate how the catalog composes. The Ahrefs keyword and competitor research is real and sourced live from the Ahrefs API; the product itself is not.

Strategy and research workspace illustration: a navy header card reading 'Strategy and Research' over a flat-lay composition with a clipboard (the brief), a magnifying glass over a bar chart (keyword research), a three-column comparison (competitor analysis), and a connected three-node flowchart (the strategy deck).

The product

Meet Threshold.

Know how new users actually get to value.

The problem

Product-led-growth SaaS companies invest heavily in trial and freemium acquisition, but most product analytics platforms (Mixpanel, Amplitude, Heap) treat onboarding as one of many event streams rather than a first-class measurement surface. PLG teams need a focused tool that answers: where do new users drop off in onboarding, what is the actual time-to-first-value, which onboarding flows convert better, which features earn first-week retention. Without that focus, teams end up writing custom SQL against general-purpose analytics tools, which means analytics work becomes a bottleneck rather than a daily decision-support layer.

Positioning

The PLG onboarding analytics tool. Not a general product analytics platform; not a session replay tool; not an in-product onboarding builder. The single tool a PLG team uses to measure what happens between sign-up and first paid usage.

Primary audience

Product managers and growth PMs at PLG B2B SaaS companies (Series A through Series C, 20-200 person teams).

Secondary audience

Engineering leads who are tired of building activation dashboards from scratch in BigQuery; founders who want PLG metrics without hiring an analytics specialist.

Not who

Enterprise sales-led companies (Threshold's instrumentation assumes self-service signup; sales-led teams use different metrics). Pre-product startups (no users to measure). Already-scaled B2B incumbents (their needs are too custom for a focused tool).

Threshold does not exist. The product brief is fictional. Everything downstream is real research applied to that fictional brief.

Process diagram: four sequential stages connected by arrows. Stage 1 'Brief' covers positioning, audience, problem. Stage 2 'Research' covers keywords, competitors, content gaps. Stage 3 'Strategy' covers priorities, sequencing, content plan. Stage 4 'Hand-off' covers brief for design and brand work. Each stage produces an artifact the next stage consumes.

Mini-deck 1

Strategy.

Strategy deck cover slide mockup. The slide shows a 'PHASE 1 STRATEGY DECK' eyebrow, a 'Threshold: Launch Strategy' headline, and a 'PLG onboarding analytics: research and recommendations' subtitle. A small fictional brand mark sits in the corner with the Threshold name.

The brief defines a focused PLG onboarding analytics product. Mixpanel and Amplitude are general-purpose; Pendo and Userpilot focus on in-product execution rather than measurement; Heap is broader product analytics. Threshold's wedge is a specific measurement surface (signup to first paid usage) that no incumbent treats as first-class.

The strategic implication for content is direct. Threshold cannot win head-on against a DR-89 incumbent on the broad category term. It can win on a focused topical cluster (PLG onboarding measurement) where no competitor has built depth. The research below quantifies that cluster.

Authored using the creative-direction and creative-brief skills.

Creative axes

  • Tone: Conversational
  • Aesthetic: Editorial Restrained
  • Relationship: Peer
  • Sensory: Considered

Success criteria

  • Headline communicates the focused-PLG-onboarding-analytics positioning in under 8 words
  • First-screen comprehension on what the product does in under 5 seconds for a PLG PM reader
  • Comparison context against Mixpanel/Amplitude/Heap visible (without disparagement)

Mini-deck 2

Findings.

All numbers in this section are sourced live from the Ahrefs API (US, May 2026 snapshot). No fabrication; where a query returned no measurable data, that absence is documented as a finding.

Keyword landscape

Two passes: 10 focused PLG-onboarding seeds (9 returned no data, which is itself a finding) and 10 broader adjacent terms (all 10 returned data). The broader pass is the actionable target set.

Keyword landscape deck slide mockup. The slide shows a 'KEYWORD LANDSCAPE' eyebrow, a '10 seed terms, three priority targets' headline, and a 3-column comparison of priority keyword targets, each with a keyword phrase, volume number, difficulty number, and rationale line.
KeywordVolumeKDTraffic potentialPass
PLG onboarding metricsno datano datano datafocused
product-led growth analyticsno datano datano datafocused
activation funnel analysisno datano datano datafocused
time to first value measurementno datano datano datafocused
in-product onboarding analyticsno datano datano datafocused
freemium conversion analyticsno datano datano datafocused
SaaS onboarding analyticsno datano datano datafocused
user activation metrics20no datano datafocused
product onboarding measurementno datano datano datafocused
first-week retention analyticsno datano datano datafocused
product analytics1,70017900broader
user onboarding80015500broader
activation rate200230broader
time to value70021300broader
saas analytics4504250broader
user activation150360broader
onboarding funnel100010broader
product led growth4,900473,600broader
plg metrics306250broader
north star metric70030500broader

What this tells us: the focused PLG-onboarding niche does not yet have established search demand at category level. Strategy targets adjacent broader terms (time to value, saas analytics, product analytics) and uses pillar-and-cluster architecture to consolidate the niche.

Competitor profiles

Five named competitors profiled with real Ahrefs DR, organic keyword count, and traffic data. Topical clusters derived from each competitor's top 8 pages by traffic.

Competitor matrix deck slide mockup. The slide shows a 'COMPETITOR LANDSCAPE' eyebrow, a 'Five named competitors. Three coverage gaps.' headline, and a 5-column-by-4-row matrix with checks, dashes, and partial-coverage dots indicating which competitor covers which topical cluster.
CompetitorDROrg. keywordsOrg. traffic / moTop-3 keywords
Mixpanelmixpanel.com898,114110,2482,374
Amplitudeamplitude.com861,30325,800516
Heapheap.io817678,045181
Pendopendo.io801,54739,466578
Userpilotuserpilot.com781,79113,967369

What this tells us: Mixpanel dominates raw scale but covers analytics broadly. Pendo extracts the most traffic per keyword via a glossary strategy. Userpilot ranks via competitor-comparison content, a smaller player's playbook. None of the five has a dedicated PLG-onboarding-measurement cluster.

Content gaps

Topical clusters covered by 0-2 competitors and aligned with Threshold's positioning. Each gap surfaces three article concepts.

Time-to-first-value benchmarks and measurement

Alignment: 3/30 competitors covering

TTV is core to Threshold's positioning. Volume 700, KD 21, traffic potential 300 (per keyword research). Zero of the five competitors has a top-traffic page on the topic. Pendo's PLG glossary page touches it tangentially. The space is open.

  • How to measure time-to-first-value in B2B SaaS

    time to value · Frame TTV as a measurement problem, not a definition problem. Show the three ways teams calculate it (event-based, milestone-based, self-reported) and which fits which product type.

  • Time-to-first-value benchmarks across 50+ PLG SaaS products

    time to value benchmark · Aggregate publicly available data (PostHog, OpenView, ProductLed reports) into a benchmark table by product category. Real numbers establish credibility; benchmarks earn backlinks from PM blogs.

  • Why your time-to-value metric is probably wrong

    time to value measurement · Editorial framing on common mistakes (averaging instead of cohorting, conflating signup-to-activation with first-paid-usage, treating TTV as a single number when it varies by user type).

PLG onboarding measurement (the wedge)

Alignment: 3/30 competitors covering

The category Threshold defines. Search demand is split across adjacent terms (PLG, onboarding, activation, time-to-value) but no consolidated content asset exists. Owning this cluster is the strategy.

  • The complete guide to measuring PLG onboarding

    plg metrics · The pillar piece. Cover the full measurement stack: signup events, onboarding step completion, activation criteria, time-to-value, first-week retention, freemium-to-paid conversion. Anchor the entire content cluster.

  • 10 onboarding metrics every PLG team should track

    user activation metrics · Listicle format earns shares from PM newsletters. Each metric gets a definition, a calculation, a benchmark range, and a common pitfall.

  • How to build a PLG onboarding dashboard in any analytics tool

    onboarding analytics · Tactical guide showing the same dashboard built three ways (Mixpanel, Amplitude, custom SQL). Comparing-to-competitors angle without disparaging them; positions Threshold as the focused alternative.

Activation funnel design and analysis

Alignment: 3/31 covering

Activation funnel is the unit of analysis Threshold builds around. Heap has one ecommerce-specific funnel page; nobody covers the SaaS PLG case in depth. KD 2 on 'activation rate' is exceptionally winnable.

  • Designing an activation funnel that actually predicts retention

    activation rate · Connect funnel design to retention prediction. Show how arbitrary activation criteria produce arbitrary retention numbers; show what good criteria look like.

  • Activation funnel templates for 8 SaaS product types

    activation funnel · Templates earn referral traffic. 8 templates by product type (workflow tool, analytics tool, dev tool, marketing tool, etc.) each with the funnel stages explicit and the activation criteria justified.

  • Why your activation rate looks higher than it is

    activation rate calculation · Editorial framing on common measurement mistakes. Pairs naturally with the TTV measurement piece.

First-week retention and cohort measurement

Alignment: 3/30 competitors covering

First-week retention is a core PLG-onboarding signal but no competitor covers it as a topical cluster. Mixpanel mentions retention via the churn-analytics page but does not go deep on cohort-based first-week analysis specifically.

  • What first-week retention tells you about your onboarding

    first week retention · Frame first-week retention as the onboarding outcome metric, not a separate concept. Show how it diagnoses onboarding quality more reliably than activation rate alone.

  • How to set up cohort retention analysis without a data team

    cohort retention analysis · Tactical guide. Walks through the calculation in any analytics tool; positions Threshold as the no-setup alternative.

Freemium-to-paid conversion analytics

Alignment: 2/30 competitors covering

Freemium conversion is adjacent to PLG onboarding. The keyword 'freemium conversion' itself returned no measurable demand, but adjacent terms (saas analytics, plg metrics) carry the audience. A PLG company shipping a freemium product needs this content to evaluate Threshold.

  • What predicts freemium-to-paid conversion (data from 25 PLG companies)

    freemium conversion rate · Data-driven editorial. Predictive features ranked. Earns backlinks from PLG and pricing newsletters.

  • When a freemium plan is converting and when it is leaking

    freemium model metrics · Diagnostic framing. Helps the reader categorize their own situation; positions Threshold as the diagnostic tool.

Onboarding flow comparison (Mixpanel vs Amplitude vs custom)

Alignment: 2/31 covering

Userpilot's playbook (competitor-comparison content) works for getting in front of evaluators. Threshold should run the same playbook but specifically for the onboarding-measurement use case, not the broader analytics category.

  • Mixpanel vs Amplitude vs custom SQL: which fits PLG onboarding analysis?

    mixpanel vs amplitude · Honest, opinionated comparison framed for the PLG-onboarding use case specifically. Positions Threshold as the focused option without disparaging the general-purpose platforms.

  • When you outgrow Mixpanel for onboarding analytics

    mixpanel alternative · Honest framing of when the general-purpose tool stops being the right tool. Naming the failure mode is more credible than claiming superiority.

Product-led-growth fundamentals (pillar)

Alignment: 3/31 covering

PLG is the category Threshold lives in. Pendo holds position 5 with a glossary entry. The 4900-volume term needs a pillar piece if Threshold is going to anchor a content cluster around the category.

  • Product-led growth: a measurement-first guide

    product led growth · Pillar piece anchoring the cluster. Differentiates from Pendo's glossary by treating PLG as a measurement problem, not a marketing strategy. KD 47 means this is a long-game ranking target; it earns its keep through cluster authority before it earns it through SERP position.

Backlink opportunities

Curated outreach set. The DR-sorted top of the raw Ahrefs referring-domains data is dominated by universal noise (Google, YouTube, Wikipedia, GitHub, etc.) which links to nearly every commercial site through embeds and citations rather than editorial choice. The list below filters that noise and adds categorical opportunities inferred from competitor content strategies.

DomainTypeOutreach angle
productled.complg blogProductLed.com is the canonical PLG community publication. Threshold's PLG-onboarding-measurement positioning is squarely on-topic. Pitch a guest post on TTV measurement or activation funnel design; cite real benchmark data to earn the byline.
openviewpartners.comnewsletterOpenView publishes the Product Benchmarks report annually. Threshold's research can contribute aggregate data on PLG onboarding metrics; the published report links back to data contributors.
lennysnewsletter.comnewsletterLenny's Newsletter is the largest PM newsletter (~600K subs). Pitch a guest essay on PLG onboarding measurement; the audience is exactly Threshold's primary ICP.
saastr.comtrade publicationSaaStr covers SaaS metrics extensively. A data-driven post on freemium conversion benchmarks fits SaaStr's editorial format and earns inbound coverage.
g2.comsaas tool directoryG2 listings are baseline. Threshold's product page on G2 and inclusion in the 'Product Analytics' or 'PLG Tools' category gives mid-DR backlink and direct evaluator traffic.
capterra.comsaas tool directoryCapterra parallels G2. Same playbook: claim the listing, populate the product page, encourage early users to leave reviews. Mid-DR backlink plus discovery surface.
github.comdeveloper platformGitHub backlinks come via developer documentation. Threshold should publish open-source SDKs (event-tracking client, dashboard JSON exports) that earn natural GitHub citations. The competitive baseline shows all four top competitors have substantial GitHub presence.
first-round.comtrade publicationFirst Round Review publishes long-form essays from operators. A founder-byline essay on the analytics gap that drove Threshold's existence fits the format and earns DR ~80 backlink.
calendly.comsaas tool directoryCalendly's referring-domain presence in Userpilot's profile signals partner pages and integration-listing backlinks. Threshold's first integration page (e.g., 'connect Threshold + Calendly to track demo-to-activation') earns a similar partner-listing link.
reddit.comopen platform noiseReddit links are nofollow but drive direct evaluator traffic. r/SaaS, r/ProductManagement, r/startups all discuss analytics tooling regularly. Show up authentically; do not link-build manually.

Universal noise filtered out: google.com, youtube.com, wikipedia.org, github.com, microsoft.com, apple.com and 12 others. These domains link to all five competitors and to nearly any commercial SaaS site; their presence is signal of being indexed, not of being editorially endorsed.

Mini-deck 3

Recommendations.

The research surfaces priorities. The recommendations below sequence them.

Three priority keyword targets

Priority 1

time to value

Volume 700 · KD 21 · TP 300

Strongest priority candidate. Real volume (700), winnable KD (21), real traffic potential (300). TTV is core to Threshold's positioning. Less crowded than 'product analytics' or 'user onboarding'.

Priority 2

saas analytics

Volume 450 · KD 4 · TP 250

KD 4 with TP 250 is a strong opportunistic target. SERP carries an AI Overview which dilutes click-through, but the underlying intent (PMs evaluating analytics tools) is exactly Threshold's audience.

Priority 3

product analytics

Volume 1700 · KD 17 · TP 900

The category headline. Volume 1700/mo, KD 17 is unusually winnable for a category term. Mixpanel, Amplitude, Heap dominate but Heap's #4 page is still a 334-traffic stub, suggesting modest depth wins here.

Three priority content topics for the first 90 days

Priority 1

Time-to-first-value benchmarks and measurement

TTV is core to Threshold's positioning. Volume 700, KD 21, traffic potential 300 (per keyword research). Zero of the five competitors has a top-traffic page on the topic. Pendo's PLG glossary page touches it tangentially. The space is open.

First article: How to measure time-to-first-value in B2B SaaS

Priority 2

PLG onboarding measurement (the wedge)

The category Threshold defines. Search demand is split across adjacent terms (PLG, onboarding, activation, time-to-value) but no consolidated content asset exists. Owning this cluster is the strategy.

First article: The complete guide to measuring PLG onboarding

Priority 3

Activation funnel design and analysis

Activation funnel is the unit of analysis Threshold builds around. Heap has one ecommerce-specific funnel page; nobody covers the SaaS PLG case in depth. KD 2 on 'activation rate' is exceptionally winnable.

First article: Designing an activation funnel that actually predicts retention

Three priority backlink targets

Priority 1

productled.com

plg blog

ProductLed.com is the canonical PLG community publication. Threshold's PLG-onboarding-measurement positioning is squarely on-topic. Pitch a guest post on TTV measurement or activation funnel design; cite real benchmark data to earn the byline.

Priority 2

openviewpartners.com

newsletter

OpenView publishes the Product Benchmarks report annually. Threshold's research can contribute aggregate data on PLG onboarding metrics; the published report links back to data contributors.

Priority 3

lennysnewsletter.com

newsletter

Lenny's Newsletter is the largest PM newsletter (~600K subs). Pitch a guest essay on PLG onboarding measurement; the audience is exactly Threshold's primary ICP.

Phase 2 hand-off brief

What the brand work needs to support.

Threshold's wedge is focused PLG onboarding measurement against general-purpose incumbents. The brand identity must read as "the focused alternative" without reading as "a smaller tool." Editorial Restrained aesthetic, Conversational tone, Peer relationship, Considered sensory register from the brief. Measurement-first content positioning implies the visual system carries data confidently: generous whitespace around numbers, restrained color, serif-and-sans pairing. The launch microsite hero needs to communicate the focused-PLG-onboarding positioning in under 8 words and the comparison context against Mixpanel/Amplitude/Heap visibly but without disparagement.

Skill used in this section

The reference build continues

What's next.

Phase 2

Brand and design

Brand identity, color and type tokens, hero and section mockups, design system foundations.

Read the walkthrough →

Phase 3

Build and ship

Frontend implementation, deployed launch microsite, pre-launch waitlist with qualifying questions.

Queued

Phase 4

Audit and optimize

Accessibility, performance, on-page SEO audit on the live site.

Queued

Demonstration framing

Threshold is a fictional product built to illustrate how the catalog composes from blank brief to launch-ready strategic foundation. The Ahrefs keyword research, competitor analysis, and referring-domain data is real; the product itself is not. No data is collected from this page; no waitlist is operating. The 11 keywords with measurable volume, 5 competitor profiles, and 10backlink opportunities surfaced here are pulled live from the Ahrefs API and cached in this repository's data layer.

Skills used (Phase 1)

Tooling used (Phase 1)

  • Ahrefs MCP for keyword volume, competitor metrics, top pages, and referring domains
  • Gemini for the strategy mockup illustrations rendered on this page