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HubSpot & CRM Implementation

A CRM that knows where the lead came from.

Connect your forms, lead-source fields and deal reporting. We configure HubSpot so your team can follow an enquiry from its recorded source through qualification and a closed deal.

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Appomate5% to 80%Qualified share of leads, in 30 daysRead the case study →

228

Qualified leads in 30 days once lead quality 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

Keep the lead source with the deal.

A lead can arrive through an ad, a form or a referral, then spend months in the sales process. If its original source is missing or overwritten, the closed-deal report cannot explain which activity brought it in. We trace those fields through the journey before changing the CRM.

We fix that at the wiring level. Forms carry the identifiers, the identifiers are stored as real queryable properties, 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.

Our own HubSpot setup uses this pattern: click identifiers are stored in reportable properties, not only in the page URL. The reporting pipeline renders 17 client reports per cycle and halts if a run would publish fewer measured facts for a client than the previous cycle.

The scope: 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. 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 agreed model.

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

285 Leads at $39.50 each$53,000 What one Appomate customer is worth

Read the case study →

Strataigize Marketing

How Our Marketing Agency Uses AI Agents to Automate Busywork

40+ Estimated client tasks queued monthly7 days A week of industry news, read in minutes daily

Read the case study →

Browse every case study →

Questions

HubSpot and CRM, answered.

What does a HubSpot implementation 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 service covers the data model, integrations, attribution and reporting. Quoting tools, sales playbooks and Salesforce migrations are outside its scope.

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

Every piece of work, named.

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
Server-side conversion feeds for agreed ad platforms, with consent handling and deduplication checks
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