Where should a CRM data quality project actually start?

With a count, not a cleanup. Before anyone merges anything, run Duplicate Record Detector and Missing Field Alerter in report-only mode for a week so you know the size of the problem and which fields are genuinely broken. Plenty of fields people insist are mandatory turn out to be unused. Cleaning starts after that, with merge rules written down and a rollback path agreed.

Can't Salesforce or HubSpot handle sales data hygiene natively?

For single-CRM dedupe and basic validation rules, mostly yes, and we'll say so rather than sell you a build. Native tooling runs out when the logic crosses systems: HubSpot marketing sitting in front of Salesforce sales, enrichment that must respect human-entered values, or reconciliation between the CRM and Stripe. That's where a workflow engine earns its cost. Anything a validation rule can do, use a validation rule.

What does a RevOps automation build cost?

Hours times $150, and the ranges are published on the site. A single alert or scheduled report is Starter, $900 to $1,800 over one to two weeks. A dedupe, standardization and enrichment pipeline is Workflow, $2,400 to $6,000 over two to four weeks. A warehouse plus dashboards across CRM, billing, and delivery is Orchestration, $6,000 to $13,500 over four to eight weeks. Minimum project size is $2,500.

How do you stop an automation silently overwriting good data?

Three rules we apply to every build. Enrichment writes only to empty fields unless you explicitly say otherwise. Every write is logged with its source, so you can answer "who changed this" six weeks later. And merges run as a dry pass you review before anything commits. Deleted Record Audit exists for the same reason: a mass deletion should produce an alert, not a mystery.

Do we need a data warehouse for reporting?

Not for a single-source dashboard. If every number lives in HubSpot, report in HubSpot. You need Postgres when the question spans systems (pipeline in the CRM, cash in Stripe, delivery hours in Jira or Asana) or when you want history your CRM overwrites, like what the forecast said last month. Lead-to-Cash Observatory is that build. Anything smaller, we'd wire dashboards straight to the source.

RevOps & Data

RevOps automation and CRM data quality that holds up in a forecast review

18 automations, $900 to $30,000 depending on scope. Every range is hours multiplied by our published $150/hour rate.

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CRM data doesn't go bad all at once. It rots one shortcut at a time. A rep types "USA" where the picklist wants "United States." Marketing imports a list and creates a few hundred contacts that already existed under a different email. Somebody deletes an account to tidy up their view and takes six opportunities with it. Six months later the forecast is off, nobody can say by how much, and the VP of Sales quietly stops opening the dashboard. That's the real cost. Not the wrong number. The fact that leadership goes back to running the business off a spreadsheet.

The order we usually recommend: Duplicate Record Detector first, then Field Standardization Bot, then Missing Field Alerter. Dedupe first, because every other fix you apply to a duplicated record has to be applied twice and you'll get one of them wrong. Standardize second, because reporting breaks on the values, not the records, and "United States" versus "US" versus "usa" will quietly destroy a territory rollup. Alerting third, because that's the one that changes rep behavior. A nudge in Slack an hour after a deal is created, naming the exact field that's blank, works. A quarterly data-cleanup project does not.

Native tools cover more than people assume. HubSpot's duplicate manager and Salesforce's matching rules handle the obvious overlaps, and if that's your whole problem, use them. Where we get called in is the part they can't express: merge rules across two CRMs, dedupe that has to respect which system is source of truth per field, or enrichment that fires on creation and doesn't overwrite a value a human typed. That last one matters. A Data Enrichment Pipeline build is mostly about deciding what enrichment is allowed to overwrite, and that's a conversation with your RevOps lead, not a config screen.

The reporting items are downstream of all of this, which is why we push back when someone opens with "we need a Funnel Health Dashboard." You can have one. It'll be wrong until the records feeding it are clean. Once they are, CRM ↔ Billing Reconciliation is the item we'd argue hardest for: a nightly job comparing closed-won amounts against what was actually invoiced, flagging the gaps. Those two numbers disagree more often than anyone expects, and finding out during an audit is worse than finding out on a Tuesday morning in Slack. Integration Monitor belongs next to it, because the failure mode nobody plans for is a sync that stops silently and stays broken for three weeks.

Pricing works the same here as everywhere else on the site: hours at $150, published. Stale Record Identifier or Automated Report Distributor is Starter, $900 to $1,800. A dedupe and standardization pass with merge rules, an approval step, and a rollback path is Workflow, $2,400 to $6,000. A Lead-to-Cash Observatory that pulls CRM, billing, and delivery into a Postgres warehouse with dashboards on top is Orchestration, $6,000 to $13,500, four to eight weeks. Project minimum is $2,500. We build in n8n by default and keep the warehouse in Postgres, because a dashboard that queries your CRM live will eventually get you rate-limited at the worst possible moment.

The revops & data plays.

Revenue Operations
CRM ↔ Billing Reconciliation
Nightly check that closed-won amounts match invoiced amounts and flags discrepancies.
Salesforce/HubSpot ↔ Stripe or QuickBooks
$6,000–$13,500
Orchestration · 4–8 weeks
Revenue Operations
Funnel Health Dashboard
Conversion rates at every stage with anomaly alerts.
$2,400–$6,000
Workflow · 2–4 weeks
Revenue Operations
Integration Monitor
Watches for silent failures across your tech stack and alerts when sync jobs break.
n8n/Make/Zapier + your API endpoints → Slack alerts
$6,000–$13,500
Orchestration · 4–8 weeks
Revenue Operations
Lead-to-Cash Observatory
Unified dashboard tracking every stage from lead to collected cash with conversion rates.
CRM + billing + delivery → Postgres warehouse + dashboards
$15,000–$30,000
Platform · 8–12 weeks
Revenue Operations
Ops Ticketing System
Intake form for tool, process, and access requests routed to the right ops team with SLAs.
$900–$1,800
Starter · 1–2 weeks
Revenue Operations
Quota Attainment Tracker
Live quota attainment with forecast-vs-plan.
$2,400–$6,000
Workflow · 2–4 weeks
Revenue Operations
Rep Performance Scorecard
Daily/weekly rep scorecards with activity, pipeline, and attainment.
$2,400–$6,000
Workflow · 2–4 weeks
Data Hygiene & Governance
Data Enrichment Pipeline
Enriches accounts and contacts on creation from Clearbit, ZoomInfo, or Apollo.
Apollo/Clearbit/ZoomInfo → Salesforce/HubSpot
$2,400–$6,000
Workflow · 2–4 weeks
Data Hygiene & Governance
Deleted Record Audit
Tracks mass deletions and flags suspicious patterns.
$900–$1,800
Starter · 1–2 weeks
Data Hygiene & Governance
Duplicate Record Detector
Scans Salesforce/HubSpot for duplicate accounts, contacts, and leads with auto or assisted merge.
Salesforce or HubSpot
$2,400–$6,000
Workflow · 2–4 weeks
Data Hygiene & Governance
Field Standardization Bot
Normalizes inconsistent values (country names, phone formats, titles).
Salesforce or HubSpot
$2,400–$6,000
Workflow · 2–4 weeks
Data Hygiene & Governance
Missing Field Alerter
Flags records missing required fields (industry, employee count, owner) and nudges owners.
$900–$1,800
Starter · 1–2 weeks
Data Hygiene & Governance
Orphan Record Cleaner
Finds records without proper ownership or parent relationships.
$900–$1,800
Starter · 1–2 weeks
Data Hygiene & Governance
Stale Record Identifier
Flags records with no activity in 6/12/24 months for review or archive.
$900–$1,800
Starter · 1–2 weeks
Business Intelligence & Reporting
Anomaly Detection Alerter
Watches key metrics for unusual spikes or drops and alerts owners.
$2,400–$6,000
Workflow · 2–4 weeks
Business Intelligence & Reporting
Automated Report Distributor
Delivers reports to stakeholders on a schedule via email, Slack, or PDF.
$900–$1,800
Starter · 1–2 weeks
Business Intelligence & Reporting
Dashboard Refresh Orchestrator
Triggers dashboard refreshes and flags staleness or failures.
$900–$1,800
Starter · 1–2 weeks
Business Intelligence & Reporting
Self-Serve Report Builder Helper
Natural-language interface to pull data from a warehouse or CRM without SQL.
$6,000–$13,500
Orchestration · 4–8 weeks

Starter items fall below our $2,500 project minimum, so they ship bundled with others. Orchestration and Platform builds are scoped on a call before any payment.

Questions

Before you book.

Where should a CRM data quality project actually start?: With a count, not a cleanup. Before anyone merges anything, run Duplicate Record Detector and Missing Field Alerter in report-only mode for a week so you know the size of the problem and which fields are genuinely broken. Plenty of fields people insist are mandatory turn out to be unused. Cleaning starts after that, with merge rules written down and a rollback path agreed.
Can't Salesforce or HubSpot handle sales data hygiene natively?: For single-CRM dedupe and basic validation rules, mostly yes, and we'll say so rather than sell you a build. Native tooling runs out when the logic crosses systems: HubSpot marketing sitting in front of Salesforce sales, enrichment that must respect human-entered values, or reconciliation between the CRM and Stripe. That's where a workflow engine earns its cost. Anything a validation rule can do, use a validation rule.
What does a RevOps automation build cost?: Hours times $150, and the ranges are published on the site. A single alert or scheduled report is Starter, $900 to $1,800 over one to two weeks. A dedupe, standardization and enrichment pipeline is Workflow, $2,400 to $6,000 over two to four weeks. A warehouse plus dashboards across CRM, billing, and delivery is Orchestration, $6,000 to $13,500 over four to eight weeks. Minimum project size is $2,500.
How do you stop an automation silently overwriting good data?: Three rules we apply to every build. Enrichment writes only to empty fields unless you explicitly say otherwise. Every write is logged with its source, so you can answer "who changed this" six weeks later. And merges run as a dry pass you review before anything commits. Deleted Record Audit exists for the same reason: a mass deletion should produce an alert, not a mystery.
Do we need a data warehouse for reporting?: Not for a single-source dashboard. If every number lives in HubSpot, report in HubSpot. You need Postgres when the question spans systems (pipeline in the CRM, cash in Stripe, delivery hours in Jira or Asana) or when you want history your CRM overwrites, like what the forecast said last month. Lead-to-Cash Observatory is that build. Anything smaller, we'd wire dashboards straight to the source.

Go deeper

Other functions we automate.

Going deeper: RevOps automation guide

Which of these is costing you most?

Tell us what your team is doing by hand and we'll tell you what it would take to stop, including the ones you'd be better off buying off the shelf.

Request a call

RevOps automation and CRM data quality that holds up in a forecast review

The revops & data plays.

CRM ↔ Billing Reconciliation

Funnel Health Dashboard

Integration Monitor

Lead-to-Cash Observatory

Ops Ticketing System

Quota Attainment Tracker

Rep Performance Scorecard

Data Enrichment Pipeline

Deleted Record Audit

Duplicate Record Detector

Field Standardization Bot

Missing Field Alerter

Orphan Record Cleaner

Stale Record Identifier

Anomaly Detection Alerter

Automated Report Distributor

Dashboard Refresh Orchestrator

Self-Serve Report Builder Helper

Before you book.

Related reading from the blog.

Other functions we automate.

Which of these is costing you most?