Fractional analytics and BI for SaaS and e-commerce teams

Ask your data anything. Get answers you can actually trust.

HelpWithMetrics gives your team an AI data analyst powered by a governed semantic layer, so every number maps to an agreed-upon metric definition instead of a raw-table guess.

Built and run for youSemantic layer includedPower BI, Looker, Tableau, Metabase, Preset, Quicksight
AI data analystSemantic layer verified
You

What was our MRR growth last quarter?

AI

MRR grew 18.4% quarter over quarter, driven by expansion revenue and lower churn in enterprise accounts.

DefinitionMRR = active subscriptions + expansion - contraction - churn

Product demo

Plain-English questions turn into governed answers and clean visuals.

AI Data Analyst in Claude

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AI Data Analyst in Claude

Ask business questions in natural language and get metric-aware answers from your source of truth.

AI Data Analyst Visualization

The demo video will appear here when the media host is reachable.

AI Data Analyst Visualization

Move from answer to chart without waiting days for a reporting queue.

Why this is different

The problem is not AI speed. It is whether the answer means anything.

Raw database

Confident wrong answers

ChatGPT sees tables, columns, and partial context. It can generate SQL that looks right while using the wrong revenue logic, date grain, churn treatment, or customer definition.

Semantic layer

Governed answers you can defend

Your metrics live in a managed semantic layer. The AI answers through that source of truth, so every number traces back to the definition your team already agreed on.

How it works

We set up the system, run it, and leave you owning the whole stack.

01

Connect data and define the truth

We connect your sources, organize your warehouse, and build the semantic layer that governs every metric.

02

Ask questions in plain English

Your team asks what they need to know. The analyst responds with answers grounded in governed definitions.

03

Own the dashboards and answers

You get dashboards, visualizations, pipelines, and accounts you own. Your data, your tools, your access.

Outcomes

Data-team leverage without the data-team payroll.

Replace hiring drag

Skip the months-long search for a full-time analytics hire and get senior BI execution running now.

Answers in seconds

Founders and operators get fast answers without waiting for a reporting request to make it through the queue.

Works with your BI stack

Power BI, Looker, Tableau, Metabase, Preset, and Quicksight all stay in play.

Built for ownership

You keep the source data, warehouse, BI tool accounts, semantic model, and finished dashboards.

Offer

Schedule a call and get your first dashboard free.

Book a 30-minute call

Proof

“HelpWithMetrics ramped up quickly and delivered consistently from day one. They handled our BI migration end to end, saving us thousands. Their sharp grasp of SaaS metrics led to some better calculation methods than our original approach. Compared with freelancers or full-time data hires, they were faster, more affordable, and gave me peace of mind.”
Read the Uprise customer story

One plan

$5,000/month

The obvious choice for lean teams that need trusted analytics, AI speed, and senior BI execution without adding headcount.

  • AI data analyst powered by your semantic layer
  • Complete data pipeline, semantic layer setup, and management
  • Metrics in any BI tool
  • Async Slack communication
  • Weekly check-ins
  • Pause or cancel anytime
Book a call — first dashboard free

FAQ

Operationally clear. Technically grounded.

How does it work?

We start by understanding your business, data sources, and reporting goals. Then we set up the pipelines, semantic layer, dashboards, and AI analyst workflow so your team can get reliable answers quickly.

Will the AI make up numbers or hallucinate?

The AI is constrained by your semantic layer. It does not invent metric logic from raw tables; it resolves questions through governed definitions that can be checked and maintained.

How is this different from just using ChatGPT on my database?

Raw database access gives AI table names and columns, not business meaning. HelpWithMetrics builds the semantic layer first, so the analyst knows what revenue, churn, active customer, CAC, LTV, and other metrics actually mean for your company.

What is a semantic layer and why does it matter?

It is the governed source of truth for your metric definitions, relationships, filters, and business logic. It matters because the same question should return the same answer across AI, dashboards, and BI tools.

Is my data secure and private?

You own the accounts and control access. We work inside the tools you approve, follow least-access practices, and keep your data in your infrastructure wherever possible.

Do I own my data?

Yes. You own your data and store it in the warehouse or source system you control. We can recommend BigQuery or work with your existing warehouse, then join as an invited user.

Who owns the tools that power my reporting?

You do. You create the accounts, manage billing and access, and keep everything if you pause or cancel.

What data sources do you work with?

We work with databases, cloud warehouses, Google Analytics, Google Ads, Google Sheets, Facebook Ads, TikTok Ads, Shopify, Stripe, Salesforce, HubSpot, Klaviyo, Intercom, Zendesk, and many more. Stitch, Fivetran, Supermetrics, and dbt are all workable options.

How can I submit requests?

We create a shared Trello board or use your preferred task system. You add requests, we prioritize together, and you get notified as work ships.

Can I manage my subscription?

Yes. You can pause or cancel anytime.

My data source, warehouse, or BI tool is not listed. Can you still help?

Email contact@helpwithmetrics.com and we will let you know within one business day whether we can support it.

Get the first dashboard free

Give your team an AI analyst they can trust.

Book a 30-minute call