One question, answered properly, with a written recommendation.
Book an auditPricing
Fixed scope, fixed price.
Three ways to work with us. No hourly billing: the number you're quoted is the number you pay.
A defined build, delivered and handed over to your team.
Scope a projectOngoing analysis and upkeep from the same senior team.
Ask about retainersQuoted in USD and fixed at signature. If scope changes, it's re-quoted before any extra work starts, never invoiced after. Industry-specific audits start from $1,400. Compare them in detail
We run two engagements at a time. Current availability: one project slot from [mid-October]. Audits book within two weeks.
How much does data analytics consulting cost?
Three fixed prices. An audit answers one specific question in 10 working days for $1,800. A project is a defined build, delivered in 4 to 8 weeks, from $6,000. A retainer is ongoing monthly capacity, from $3,200 a month. There is no hourly rate: the price is fixed at signature from a written scope.
Is it good value? Compare it with the hire you're not making.
Mid-level data analyst, fully loaded annual cost$85,000 to $120,000
Time to hire, onboard and reach useful output3 to 5 months
A project engagement, delivered4 to 8 weeks
That project as a share of one analyst-yearroughly 5 to 10%
A project is worth it when the decision it informs is worth more than a few weeks of an analyst's salary, and you don't need that analyst full time. If you'll use one every day, hire one.
Which one do you need?
Most people talk themselves into the largest engagement they can justify. That is usually the wrong call. Pick the sentence that sounds like you.
Audit
One specific question, answered properly, with a written recommendation you can act on.
$1,800 fixed
What you get
- A scoping call to agree the question
- Analysis of the data you already have
- A written answer with the reasoning behind it
- A 45-minute walkthrough with whoever needs to act on it
Not included
- Dashboards in production
- Implementing the recommendation
- More than one question
Project
A defined piece of analytics work, built and handed over, so your team uses it after we leave.
from $6,000
What you get
- A written scope with deliverables, dates and success criteria, agreed before we start
- The work itself: segmentation, forecasting, churn models, measurement, whatever the scope says
- A dashboard or scored table your team uses without us
- Documentation written for whoever inherits it
- A weekly written update, not a status meeting
- Two weeks of questions answered after handover
Not included
- Data engineering to fix broken source systems (scoped separately)
- Ongoing maintenance after handover
- Work outside the written scope without a re-quote
Retainer
Continuous analytics capacity for teams that have systems but not the person to keep them useful.
from $3,200 /month
What you get
- A fixed number of days per month, agreed up front
- Priorities set by you at the start of each month
- Maintenance and new analysis on anything we built
- A monthly written note on what changed and why
Not included
- Unused days rolling into the next month
- Same-day turnaround or on-call support
- Long lock-ins: cancel with 30 days' notice
Not sure what a project actually produces? Every case study shows a full engagement end to end: the method, the findings, the limits. Read one before you book a call.
Nonprofit or pre-revenue startup? Ask. We keep a small number of reduced-rate slots each year.
What moves a project price
Four things decide where a project lands above $6,000. Move the controls to see a rough range for yours.
Rough project range$0
Typical timeline0 weeks
Get a fixed quote Data sourcesEach new system adds connection and matching work.
DeliverablesEach dashboard or model is designed, built and documented.
State of the dataMoves price more than anything else. Clean data can halve a project.
ComplianceHealth, payment or children's data needs extra controls.
A rough range from simple rules, not a quote. The fixed price comes from the written scope.
Prices by industry and service
Every industry page and service page uses the same three engagement types. Here is where each one starts.
Industry audits
Seven-day, fixed-price audits built for each industry.
E-commerce & online retailEcom Conversion Audit$1,500Retail & omnichannelRetail Data & Inventory Audit$2,000Gaming & entertainmentGame Economy & Churn Audit$1,800Sport & wellnessWellness Retention Audit$1,400Automotive & manufacturingPlant Downtime & Data Audit$3,500MarTech & AdTechAd Spend & Attribution Audit$1,900Media & streaming, SaaS, HealthcareData Health Check$1,800Services by engagement type
Every service page shows its own scope and price.
Audit (fixed price)KPI frameworks, Tracking audit, AI readiness assessment, Data Health Checkfrom $1,400Project (quoted from scope)BI dashboards, Data pipelines, Power BI, Churn, Segmentation, Pricing, Funnel, Forecasting, Attribution, Campaign analytics, AI assistants, Automation, ML modelsfrom $6,000Retainer (monthly)Managed BI & fractional analyst (from $3,200/mo), Competitor & price intelligence (from $900/mo)from $900/moTraining (per program)AI training for business teamsfrom $1,500Performance-based options for AI agents
Ask about performance pricingOur autonomous agent packages combine a monthly base fee with a share of measured savings or extra profit. We offer them after a project has established the baseline, so the share is calculated on real numbers.
What actually happens after you book
The riskiest moment in hiring anyone is the gap between paying and knowing whether it was a good idea. Here is how we keep it short.
01
Scoping call
Thirty minutes, free, no deck. We work out the real question and whether we're the right fit. Roughly one in four of these ends with us saying no.
02
Written scope
Within two working days: deliverables, dates, price and exclusions. You approve it before anything starts.
03
50% up front
Half on signature, half on delivery. Retainers are billed monthly in advance. Nothing is paid before you've seen the scope.
04
Weekly, in writing
A short written update every week: what moved, what's blocked, what we need from you. You hear it before we invoice.
When is Ziro Data the wrong choice?
An independent analytics team isn't right for every situation. Four of these five options beat us under the right conditions.
| Option | Where it wins | Where it doesn't | Choose it when |
|---|---|---|---|
| Hiring in-house | Permanent context, always available, cheaper per hour over years | Three to five months before useful output, and you carry the hiring risk | The work is continuous and you can wait |
| Analytics platform or BI tool | Cheap, fast to switch on, no dependency on a person | Shows what happened, but not which question to ask or whether the number is defined correctly | You already know what to measure and why |
| Large consultancy or agency | Capacity, many specialisms, institutional continuity | You often meet senior people and get junior delivery, at a higher cost for the same output | The scope is large enough to need a team |
| Freelance marketplace | Cheapest option, fast to start | Highly variable quality, and you absorb that risk yourself | The task is well defined and low-stakes |
| Ziro Data | Fixed price and scope; the people you meet do the work; documented so you keep it | A small team with limited capacity: two engagements at a time | The scope is bounded and you want it actually finished |
Ready when you areA free 30-minute call. You describe the problem; we tell you honestly what it would take.
Before you book
Two lists that will save us both a call.
This works well when
- You have data, even messy data. Years of imperfect records beat a clean warehouse with six months in it.
- Someone can answer questions. An hour a week from a person who knows why a column exists.
- A decision is waiting on it. The best engagements have a meeting date attached.
- You want to keep the work. Everything is documented and handed over. That's the point.
This goes badly when
- The data doesn't exist yet. If it hasn't been collected, no analysis will conjure it. That's a tracking or engineering project first.
- The answer is already decided. If the work is meant to support a conclusion someone reached last quarter, we're the wrong hire.
- Nobody owns the outcome. Analysis without a named person to act on it becomes a document nobody opens.
- You need it this week. Audits take ten working days. Good work has a floor on time.
Common questions about data analytics pricing
Is there an hourly rate?
No. Hourly billing rewards slow work and gives you no way to budget. Every engagement is fixed at signature from a written scope.
What if the analysis doesn't find anything useful?
Then the written answer says so, with the evidence. "The data can't support this decision yet" is a useful result: it stops you spending on a project that would fail.
What happens if you're unavailable mid-project?
Everything is documented as we go and lives in your accounts, so the work never depends on one person's laptop. We also cap ourselves at two engagements so this rarely arises.
Who owns the output, and will you sign an NDA?
You own everything: code, dashboards, documentation. We sign your NDA before any data is shared.
What data do you need to start a project?
Read-only access to the systems involved and one person who can answer questions about them. Messy data is fine; missing data is the real problem.
How experienced is the team, exactly?
We are a small, senior team focused on subscription churn and segmentation, campaign measurement and BI. The case studies show the work end to end; judge us on those.
Do you offer discounts for longer commitments?
Retainers of six months or more get one extra day per month at the same price. Projects are priced on scope, not negotiated down.
How are payments structured?
Audits: paid on booking. Projects: 50% on signature, 50% on delivery. Retainers: monthly in advance. No payment before you have seen and approved the scope.
Thirty minutes, and you'll know whether this is worth doing.
Tell us the question you're stuck on and roughly what data sits behind it. We'll tell you which engagement fits, what it would cost and how long it would take, or that you don't need us, which happens often enough to be worth saying.
No deck, no proposal document. If the honest answer is "hire someone in-house" or "use a tool you already pay for", that's what you'll hear.