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Growth analytics · Decision support

Growth tools that clarify what to measure, model and decide next

Five decision-support tools help founders and growth leaders diagnose measurement maturity, model contribution LTV and payback, identify conversion funnel opportunities, plan or evaluate A/B tests, and build a risk-adjusted marketing budget before scaling spend.

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Focused inputs · Practical analytical outputs · Separate tool workflows

Live growth tools

Start with the tool that matches your decision

Use a focused workflow to diagnose measurement readiness, model unit economics, analyse conversion-funnel opportunities, plan experiments or forecast a risk-adjusted growth budget — then decide what to fix, test or scale.

LiveGrowth infrastructure

AI Growth Infrastructure Assessment

Evaluate acquisition measurement, tracking, analytics, CRM, attribution, revenue connectivity and growth decision-making maturity.

Decision it supports: What to fix first in growth infrastructure before rebuilding or scaling.

  • Growth Infrastructure Maturity Score
  • Data Confidence Score
  • Key measurement risks and priority gaps
  • Practical 90-day implementation roadmap
  • Personalised AI-generated PDF audit
Inputs
Structured answers on business context, acquisition, tracking and analytics, CRM and revenue data, and growth decision practices.
Outputs
AI-generated PDF audit by email with maturity and data-confidence findings, key risks, priority gaps and a practical roadmap.
Time to complete
Approximately 5–7 minutes to complete
Start Free Assessment
LiveUnit economics

Predictive LTV & Payback Calculator

Model 90-day and 180-day contribution LTV, CAC payback, retention scenarios and the improvements required to reach your growth targets.

Decision it supports: Whether unit economics support scaling, improving, holding or stopping spend.

  • Conservative, base and growth scenarios
  • Predictive LTV/CAC and CAC payback
  • Cumulative contribution projections
  • Retention and churn sensitivity analysis
  • Optional AI-supported emailed interpretation
Inputs
Business assumptions such as CAC, revenue, margins, costs, retention curve and optional growth targets.
Outputs
Interactive calculator results with scenario modelling, and an optional AI-supported emailed report.
Time to complete
Approximately 3–5 minutes to complete
Calculate LTV & Payback
LiveConversion funnel & CRO

Funnel Analysis & Experiment Planner

Analyze SaaS, ecommerce or lead-generation conversion funnels, identify high-impact drop-off opportunities, compare modeled revenue impact and turn the priority transition into a CRO experiment plan.

Decision it supports: Where is the highest-value conversion bottleneck, what could improving it be worth, and which experiment should you prioritise next?

  • Stage-level conversion funnel and drop-off diagnostics
  • Revenue-impact Opportunity Matrix for CRO prioritisation
  • Targeted funnel optimisation scenarios
  • Business-specific conversion experiment hypotheses
  • Session-based handoff into A/B Test Calculator planning
Inputs
Business type, editable funnel stages and volumes, plus optional economics and target inputs for conversion-funnel opportunity modelling.
Outputs
Interactive funnel diagnosis, CRO opportunity prioritisation, scenario simulation and a structured experiment brief with optional A/B planning handoff.
Time to complete
Approximately 3–7 minutes to complete
Analyze Your Conversion Funnel
LiveExperimentation

A/B Test Calculator

Plan the sample an experiment needs, then evaluate Control versus Variant results with a transparent two-proportion methodology — including Bonferroni multi-arm correction and Newcombe intervals.

Decision it supports: Whether an experiment is sized for a meaningful effect, and whether collected results support a reliable Control vs Variant decision.

  • Sample-size planning for fixed-horizon designs
  • Statistical significance evaluation for binary conversions
  • Bonferroni correction for multi-arm comparisons
  • Wilson and Newcombe interval presentation
  • Conservative withhold rules when assumptions break down
Inputs
Baseline conversion rate, minimum detectable effect, confidence, power, arm count and optional daily traffic for sample-size mode; Control and Variant conversions for significance mode.
Outputs
Interactive sample-size or significance results with transparent methodology notes — informational only, not a guarantee of experiment outcomes.
Time to complete
Approximately 2–5 minutes to complete
Open A/B Test Calculator
LiveMarketing performance

Marketing Budget Calculator & Growth Planner

Build a risk-adjusted marketing budget range from the last completed month, compare Conservative, Base and Upside outcomes, and identify scaling risk without assuming CAC stays flat.

Decision it supports: How much to invest in marketing to reach a revenue-growth target — and how risky the plan is.

  • Base-to-Conservative risk-adjusted budget range
  • Revenue and customer scenarios at one planning budget
  • Explicit CAC scaling assumptions
  • Optional comparable 12-month benchmarks
  • Evidence-gated historical diagnostics
Inputs
Last-month marketing spend, CAC, revenue per acquired customer and target monthly revenue growth, with optional comparable benchmarks and historical data.
Outputs
Interactive Conservative, Base and Upside scenarios with a planning budget range, projected customers and revenue, scaling-risk signals and transparent assumptions.
Time to complete
Approximately 3–7 minutes to complete
Open Marketing Budget Calculator

Choose the right tool

Match the decision to the workflow

Use the tool that matches the commercial decision: measurement readiness, unit economics, conversion funnel optimisation, experiment planning or growth-budget risk. Each remains a focused workflow, with a limited Funnel-to-A/B planning handoff where useful.

Business problems

Problems these tools help investigate

Use the tools to surface decision-relevant gaps — not as a guarantee that any particular outcome will follow.

  • Unreliable acquisition and conversion measurement
  • Disconnected CRM and revenue data
  • Uncertainty about growth infrastructure maturity
  • Unclear CAC and contribution LTV
  • Slow or unsafe CAC payback
  • Retention sensitivity that changes scale decisions
  • High conversion-funnel drop-off with unclear CRO priorities
  • Unclear revenue impact of improving a specific funnel transition
  • Underpowered experiments or unclear significance reads
  • Uncertainty about whether to scale, improve, hold or stop investment
  • Budget decisions driven by platform ROAS instead of contribution economics

How it works

A shared high-level process — separate tool workflows

Each tool can be used independently. Funnel Analysis can optionally pass a short-lived experiment-planning context into the A/B Test Calculator; raw funnel volumes, financial inputs and editable brief content are not transferred.

  1. 01

    Provide structured business inputs

    Answer focused questions or enter assumptions that describe your measurement system, unit economics or experiment design.

  2. 02

    Receive an analytical result

    Review scores, scenarios, projections, sample-size estimates or significance findings generated from the inputs you provided.

  3. 03

    Identify risks, scenarios or priority gaps

    See where confidence is weak, payback is unsafe, experiments are underpowered, or infrastructure gaps block better decisions.

  4. 04

    Define the next decision

    Use the output to decide what to investigate, fix, model further or discuss with professional support.

What you receive

Analytical outputs you can act on

Outputs are informational and depend on the quality of the inputs. AI-generated results do not replace professional analysis or guarantee business outcomes.

Assessment findings

Maturity and data-confidence results, measurement risks, priority gaps and a practical roadmap from the Growth Infrastructure Assessment.

Scenario modelling

Conservative, base and growth scenarios for contribution LTV, CAC payback and cumulative contribution from the LTV & Payback Calculator.

Experiment planning and evaluation

Sample-size estimates and Control versus Variant significance reads from the A/B Test Calculator, with transparent methodology notes.

Funnel opportunity and experiment planning

Stage-level diagnostics, modeled opportunity prioritisation, targeted scenarios and a structured experiment brief from Funnel Analysis.

Marketing budget planning

A risk-adjusted budget range with Conservative, Base and Upside customer and revenue scenarios, scaling-risk signals and transparent assumptions.

Delivered interpretation

PDF audit by email for the Assessment, and optional AI-supported emailed interpretation for the LTV calculator where you request it.

Related services

When self-serve analysis needs professional implementation

If a tool surfaces a measurement gap, conversion-funnel bottleneck or unit-economics risk, these services help validate the finding, diagnose the cause and implement the next step.

Conversion Rate Optimization & Experimentation

Turn funnel and A/B tool findings into evidence-led research, a prioritized hypothesis backlog and decision-grade experiments.

Explore CRO & Experimentation

Related case studies

How teams turn measurement into clearer growth decisions

Selected work that shows infrastructure diagnosis and unit-economics decision systems in practice.

Growth Data Infrastructure & Funnel Economics Audit

Infrastructure and funnel economics diagnosis.

View case study

Mental Health Marketing Analytics: +24% LTV

Mental health and therapy customer economics — +24% LTV, −17% CAC, and a 31% shorter CAC payback period.

View case study

View all case studies

Related insights

Practical reading before you start a tool

Articles that deepen unit economics literacy and measurement maturity — without replacing the tools themselves.

CAC, LTV and Payback Period: How to Build Reliable Unit Economics for Growth

Decision-grade CAC, LTV and payback framing.

Read article

GA4 Audit Checklist: How to Find Tracking, Attribution and Data Quality Problems

Measurement and data-quality investigation framework.

Read article

GA4 vs Mixpanel vs Amplitude: Which Analytics Stack Should Your Business Implement?

Choosing an analytics stack for growth decisions.

Read article

View all insights

Privacy and trust

Use the tools carefully and treat outputs as analytical

Avoid entering unnecessary sensitive information. Outputs depend on your inputs and automated analysis. AI-generated results are informational — they do not guarantee outcomes and do not replace professional advice.

Next step

Connect self-serve analysis with professional implementation

Use the free tools to identify measurement, unit-economics, conversion-funnel or experiment priorities. When the finding needs validation, implementation or a deeper audit, connect it to professional growth analytics support.

Discuss Your Growth AnalyticsStart Free Assessment

Separate tool workflows · Analytical outputs · No invented guarantees