This page exists for one reason: buyers should not have to click through nine pages just to figure out whether Domain Methods is roughly in range.
Every engagement still gets scoped to the situation. But the pricing model is not mysterious.
We use fixed-fee work, clear deliverables, and defined next steps. No hourly retainer fog. No “let’s discover the budget first” dance.
The short version
There are three common ways teams start with us:
- a focused diagnostic when the problem is visible but the right fix is not
- a translation sprint when the business ask is still fuzzy and the team needs a clearer scope before building
- a broader implementation engagement when the problem category is already clear and the work needs to move
Pricing at a glance
| Engagement type | Typical range | Typical timeline | Best fit when | Strong starting pages |
|---|---|---|---|---|
| Diagnostic offers | $3,500-$7,500 | About 2-3 weeks | You need a fast read on where trust is breaking before committing to a bigger project | Solutions |
| Translate the Ask sprint | $2,500-$5,000 | About 1-2 weeks | The business need is urgent but the request is still too fuzzy to scope cleanly | Translate the Ask |
| AI Readiness Audit | $3,500-$7,500 | About 2-3 weeks | Leadership wants AI movement, but the underlying data trust is questionable | AI Readiness Audit |
| Service engagements | Start at $5,000 | Multi-week | The problem category is already clear and the team needs implementation, cleanup, or activation help | Services |
| Typical broader service scope | Most projects land between $5,000 and $50,000 | Varies by complexity | The work touches pipelines, attribution, governance, warehouse logic, or operational activation across teams | Who We Serve |
Diagnostic offers
These are the best fit when the cost of being wrong is already obvious, but the next move is still unclear.
You do not need a giant transformation proposal yet. You need a sharper read on where trust is actually breaking and what should happen next.
Where Did the Money Go?
- Typical range: $3,500-$7,500
- Typical timeline: about 2 weeks
- Best for: teams that cannot defend channel performance or spend efficiency with confidence
- Next-step path: often routes into Revenue Analytics
Three Teams, Three Numbers
- Typical range: $3,500-$7,500
- Typical timeline: about 2-3 weeks
- Best for: RevOps and leadership teams dealing with revenue-definition conflict across functions
- Next-step path: often routes into Revenue Analytics or Data Foundation
The $500K Question
- Typical range: $3,500-$7,500
- Typical timeline: about 2-3 weeks
- Best for: teams trying to pressure-test a roadmap, workflow, or growth bet before they commit real budget or engineering time
- Next-step path: often routes into Data Activation
Show Me the Margin
- Typical range: $3,500-$7,500
- Typical timeline: about 2 weeks
- Best for: ecommerce teams that can see revenue but still cannot trust profitability by channel, product, or segment
- Next-step path: often routes into Revenue Analytics or deeper warehouse work
Translation sprint
Translate the Ask
- Typical range: $2,500-$5,000
- Typical timeline: about 1-2 weeks
- Best for: heads of data and cross-functional teams stuck between an urgent business ask and an unscoped build request
- What you are buying: a cleaner operating scope, decision frame, and implementation path before the team burns time building the wrong thing
This is the smallest engagement on the site for a reason. Sometimes the highest-value move is not a bigger project. It is getting the request into a shape the team can actually execute.
AI readiness work
AI Readiness Audit
- Typical range: $3,500-$7,500
- Typical timeline: about 2-3 weeks
- Best for: teams under AI pressure that need an honest read on whether source data, definitions, governance, and workflow fit can support automation yet
- What you leave with: a practical yes/no on near-term AI use cases plus a sequenced fix-first roadmap
This is not an AI strategy deck. It is a trust audit for teams trying to avoid expensive theater.
Broader service engagements
When the problem is already clear, teams usually move into one of the service lines below.
Revenue Analytics
- Starts at: $5,000
- Most common range: about $5,000-$25,000
- Best for: attribution cleanup, revenue-trust alignment, finance-adjacent reporting, and board-defensible growth measurement
Data Foundation
- Starts at: $5,000
- Most common range: about $10,000-$50,000
- Best for: warehouse cleanup, dbt implementation, testing, governance, pipeline reliability, and upstream trust work
Data Activation
- Starts at: $5,000
- Most common range: about $7,500-$30,000
- Best for: reverse ETL, scoring workflows, warehouse-to-tool activation, and operational analytics that need to prove value quickly
How pricing usually works in practice
A few patterns matter more than the exact number:
1. Clear problem, lower scoping friction
If the team already agrees on the problem category and the systems involved, we can usually scope faster and more tightly.
That tends to reduce ambiguity, which reduces pricing spread.
2. Cross-functional mess increases scope
If marketing, finance, RevOps, product, and the data team all need to be reconciled at once, the work usually gets bigger.
Not because the SQL is harder. Because the operating alignment work is part of the real job.
3. Foundation work expands faster than buyers expect
A common pattern is somebody thinking they need “one dashboard fix” when the actual work is warehouse logic, testing, ownership, and definitions across several systems.
That is why a smaller diagnostic or translation sprint can be a better first purchase than jumping straight into a broader build.
Which route should you choose?
| If your situation sounds like this | Better starting route |
|---|---|
| “We know the number is wrong, but not exactly where it breaks.” | Diagnostic offer |
| “The request is urgent, but nobody has translated it into a trustworthy scope yet.” | Translate the Ask |
| “We already know the category of work. We just need the right implementation partner.” | Services |
| “Leadership wants AI, but we are not sure the data can support it.” | AI Readiness Audit |
Common pricing questions
Why do you show ranges instead of exact package pricing for everything?
Because the operating mess matters.
A clean attribution cleanup for one team is different from a cross-functional revenue-trust repair involving CRM stages, finance logic, and warehouse modeling. The range gives you a realistic order of magnitude without pretending every situation is the same.
Do you bill hourly?
No. Domain Methods uses fixed-fee pricing with clear deliverables.
If a situation is too fuzzy to scope responsibly, that is usually a sign to start with a diagnostic or translation sprint first.
Can we start small?
Yes. In many cases, that is the smartest move.
A focused diagnostic or scoped sprint is often the right first purchase when the team needs clarity before it needs a broader implementation plan.
What happens after a diagnostic?
Usually one of three things:
- you have enough clarity to fix the issue internally
- the next step becomes a clearly scoped service engagement
- the right answer is to stop, wait, or clean up something smaller first
All three are acceptable outcomes. The goal is better decisions, not forcing a bigger project.
Want the fit answer before the pricing answer?
If you are still not sure whether Domain Methods is the right kind of shop for your team, read Who We Serve.
If the fit looks right and you want to talk through the likely entry point, book a discovery call.