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HubSpot & CRM Implementation

A CRM that knows where the lead came from.

Most CRMs record that a lead arrived and lose how. We wire the forms, properties, conversions and reporting so the source survives all the way to the closed deal.

Book an audit →See the tracking work

228

Qualified leads in 30 days once lead quality, not volume, became the number, Appomate

80%

Qualified share of leads, up from 5%, Appomate

Ad platforms we feed CRM outcomes back to, server-side: Meta, TikTok, X, LinkedIn

Overview

The CRM is where attribution usually dies.

A lead clicks an ad, lands on a page, fills a form and becomes a contact. Somewhere in those four steps the click identifier is dropped, the source is overwritten by the last touch, and the deal that closes three months later is credited to direct traffic. Every channel then argues about a number none of them can prove.

We fix that at the wiring level. Forms carry the identifiers, the identifiers are stored as real queryable properties rather than buried in a page URL, conversions are sent server-side, and the qualified and closed stages are exported back to the ad platforms so bidding learns from outcomes instead of form fills.

This is not theory for us. We run our own HubSpot portal on exactly this pattern, including a dedicated property carrying the one click identifier a Google Ads conversion import needs, because storing it only in the page URL made it unqueryable. The same reporting pipeline renders 17 client reports per cycle, with an automatic halt if any client would publish fewer measured facts than the cycle before.

Scope honestly: this is measurement-led CRM work. The data model, the wiring, the attribution and the reporting. It pairs directly with analytics and server-side tracking, and it is what makes LinkedIn and Google Ads optimizable against pipeline rather than form fills. If what you need is workflow automation on top of the CRM, that is our AI workflow automation line.

How it works

From guessed source to traceable revenue.

Audit

What the CRM currently records, what it silently drops, and which reports are built on the gap.

Model

Objects, lifecycle stages and properties agreed in writing before anything is created.

Wire

Forms, click identifiers and server-side conversions connected so the source survives to the deal.

Report

Attribution and pipeline reporting built on the model, not on whatever the default dashboard shows.

Feed back

Qualified and closed stages exported back to the ad platforms so bidding learns from real outcomes.

Case studies

Measurement work, with the receipts.

Appomate

Appomate: From 5% Qualified Leads to 80% in 30 Days

5% to 80% Qualified share of leads, in 30 days285 Leads at $39.50 each

Read the case study →

Strataigize Marketing

How Our Marketing Agency Uses AI Agents to Automate Busywork

50+ Team hours saved weekly40+ Client tasks queued monthly

Read the case study →

Browse every case study →

Questions

HubSpot and CRM, answered.

What does a HubSpot implementation actually involve?

Agreeing the data model first: objects, lifecycle stages and the properties that must exist for your reports to be answerable. Then wiring the inputs, forms, click identifiers and server-side conversions, so the source of a lead survives all the way to the deal. Then building reporting on that model rather than on the default dashboard.

Our CRM data is a mess. Where do you start?

With what your reports need to answer, not with a cleanup project. Most messy portals have three or four questions leadership actually asks and a data model that cannot answer any of them. Fix the model and the wiring for those questions first; historical cleanup after, and only where it changes an answer.

Why does the CRM need click identifiers?

Because without them, paid channels are credited by guesswork. A click identifier stored on the contact is what lets you import a closed deal back into Google or LinkedIn as a conversion, so bidding optimizes toward revenue instead of form fills. We added exactly this property to our own portal so our conversion imports would carry it.

Do you do sales enablement and CPQ too?

No. This is measurement-led CRM work: the data model, the wiring, the attribution and the reporting. Quoting tools, sales playbooks and Salesforce migrations are not what we do, and we would rather say so than take the project.

What does this cost?

A CRM and attribution rebuild is usually scoped as a fixed project alongside a website optimization retainer, which starts at $4K per month with a typical range of $4K to $10K. Every published figure is on the pricing page.

What we do

Named work, not vague scope.

Every line item opens into the artifact you receive, the typical duration, and the role that delivers it.

Data model

CRM audit
Artifact
What the portal records, what it silently drops, and which reports rest on the gap
Typical duration
1 week
Delivered by
Analytics lead
Object and lifecycle design
Artifact
Written object, stage and property model, agreed before anything is created
Typical duration
3 to 5 days
Delivered by
Analytics lead
Property build
Artifact
Custom properties created, including the click identifiers conversion imports require
Typical duration
2 to 4 days
Delivered by
Marketing engineer
Deduplication and hygiene rules
Artifact
Merge rules and required-field enforcement, so the model stays true after handover
Typical duration
2 to 3 days
Delivered by
Marketing engineer

Wiring

Form and landing page integration
Artifact
Forms posting to the CRM with source, campaign and click identifiers attached
Typical duration
3 to 5 days
Delivered by
Marketing engineer
Server-side conversion feeds
Artifact
Conversions API endpoints for the ad platforms, sending events the browser drops
Typical duration
1 to 2 weeks
Delivered by
Marketing engineer
Offline conversion export
Artifact
Qualified and closed stages exported back to Google, Meta and LinkedIn as conversions
Typical duration
1 week
Delivered by
Analytics lead
Consent and suppression handling
Artifact
Consent state carried on the record, with unsubscribes and bounces suppressed at source
Typical duration
2 to 4 days
Delivered by
Marketing engineer

Reporting

Attribution reporting
Artifact
Source-to-deal reporting built on the agreed model, not the default dashboard
Typical duration
1 week
Delivered by
Analytics lead
Pipeline and velocity views
Artifact
Stage conversion and time-in-stage reporting, with the definition of each stage written down
Typical duration
3 to 5 days
Delivered by
Analytics lead
Channel reconciliation
Artifact
A standing comparison of platform-reported and CRM-recorded conversions, with the gap explained
Typical duration
Monthly
Delivered by
Analytics lead
Handover documentation
Artifact
The data model, the wiring diagram and the report definitions, written for your team
Typical duration
2 to 3 days
Delivered by
Analytics lead

Teams that trust us with the number

Website optimization from $4K per month, typical range $4K to $10K. Rebuilds can be scoped fixed

Real ranges, published. Ad spend stays in your own accounts.

See the full pricing table →

Where this fits: see the Strataigize Growth System, the ladder every engagement runs on.

Talk to the measurement team

Tell us the reporting question your CRM cannot answer and we reply within 24 hours with what is missing from the data model and what it takes to fix it.

Find out what your CRM is not recording.

We will trace one real lead from ad click to closed deal and show you where the source is lost.

Book an audit →

Measurement is the other half of this: see analytics and server-side tracking.

Rated 5.0 on Clutch