Marketing you can actually measure

Capability
Analytics
Question it answers
Do we know what is actually working?
Promise
Measurement that connects marketing activity to outcomes the business already believes in.

Advertising, visibility, and the website all produce data. Very little of it becomes insight, because collection is wrong, definitions disagree, and reporting arrives too late to change anything. Analytics is the layer that fixes that.

Two analysts reviewing printed performance charts against a dashboard in a studio office

Trusted

Measurement built on data that has been validated.

Connected

Signals brought together across channels, platforms, and outcomes.

Explained

Differences, limitations, and attribution assumptions made understandable.

Actionable

Reporting designed to inform what happens next.

01Services

The Analytics services.

Engage the whole discipline or a single service. Detail pages are being published in sequence as each service is documented.

4 services | 3 stages

00Platforms and systems

What we measure with.

The platforms measurement is assembled from. We work in your accounts, not ours, and we choose per engagement rather than per habit.

Measurement platforms

  • GA4 logoGoogle Analytics 4
  • Google Ads logoGoogle Tag Manager
  • Google Search Console logoGoogle Search Console
  • Bing Places logoBing Webmaster Tools
  • and more...

Advertising signal

  • Google Ads logoGoogle Ads
  • Meta logoMeta
  • LinkedIn logoLinkedIn
  • Microsoft Advertising logoMicrosoft Advertising
  • and more...

Outcome systems

  • CallRail logoCallRail
  • HubSpot logoHubSpot
  • Salesforce logoSalesforce
  • Shopify logoShopify
  • and more...

Reporting and storage

  • Looker Studio logoLooker Studio
  • BigQuery logoBigQuery
  • Google Sheets logoGoogle Sheets
  • and more...

Selected clients

02The experts behind the work

Meet some of the experts behind Analytics.

A selection of the specialists who lead and shape this work, supported by a broader multidisciplinary team.

03Overview

The problem is rarely too little data. It is data nobody trusts.

Most organizations are not short on marketing data. They are short on data anyone believes. Two reports disagree, the ad platform claims more conversions than the CRM has records, phone calls go uncounted, and the meeting ends with a hunch instead of a decision.

That gap is almost never a tooling problem. It is a definitions and implementation problem. What counts as a lead was never written down, events were tagged by three different people over four years, and the outcomes that matter most to the business live in systems the analytics stack was never connected to.

Our approach is unglamorous on purpose. Decide the questions worth answering, implement collection so it is correct and consent-aware, connect marketing activity to the outcomes the business already recognizes, and report it in a form that makes the next decision obvious.

The goal is not more dashboards or more data. It is measurement people trust enough to make a decision with.

Fig. 01The measurement chain
The work produces data. Measurement makes it trustworthy. Insight is what turns it into a decision.
04Why it matters

Why analytics is a capability, not a report.

Analytics is treated as a reporting chore at most companies, which is why so much marketing spend is defended with anecdotes. Handled as a capability, it becomes the thing that makes every other capability accountable.

  1. 01

    Every other capability reports into it

    Advertising, visibility, and web all make claims about performance. Without an independent measurement layer, each channel grades its own homework and the totals never add up.

  2. 02

    The outcome usually happens off the site

    The meaningful outcome may be a phone call, a qualified lead, a purchase, an application, or a closed deal that happens well after the initial interaction.

  3. 03

    Tracking no longer works by default

    Consent rules, browser restrictions, and platform modeling changed what is knowable. Measurement now has to be designed deliberately rather than assumed to work out of the box.

  4. 04

    Decisions need evidence that holds up

    Budget conversations move when the numbers are defensible. Trustworthy measurement is what turns a marketing debate into a decision that survives the next quarter.

  5. A number nobody argues with is worth more than a number nobody checks.

Fig. 02

The measurement architecture.

Trustworthy measurement is assembled in order. Collection decides what is possible, definitions decide what is comparable, connections decide what is complete, and reporting is only the last layer.

Reporting cannot repair collection.

One definition of a conversion, used everywhere.

Fig. 02How measurement is assembled
05When to invest

When to invest in analytics.

Measurement work pays off fastest when spend is meaningful and the reporting has stopped being believed. These are the signals that the timing is right.

Invest now when

  • Ad platforms and the CRM report different numbers and nobody can reconcile them
  • Phone calls or in-person sales are a major channel and are not tracked to source
  • Conversion counts changed after a site or tag change and nobody knows why
  • Reporting is assembled by hand every month and arrives too late to act on
  • Budget decisions are being defended with opinion rather than evidence
  • A GA4 migration, consent banner, or platform change was done in a hurry

Start elsewhere when

  • Marketing spend is small enough that the numbers cannot separate signal from noise
  • A website rebuild is weeks away and tracking will be rebuilt with it
  • There is no internal owner to define what a qualified lead actually is

If a website rebuild or platform migration is coming, do the measurement planning first. Tracking rebuilt during a migration is far cheaper than tracking retrofitted after one.

06Our philosophy

Measure less, but mean it. Trustworthy over comprehensive.

Measurement earns its keep when it changes a decision. That means fewer metrics, defined precisely, collected correctly, and reconciled against outcomes the business already counts. A report that impresses and clarifies nothing is a cost, not an asset.

We will not present modeled estimates as counts, build dashboards on collection we know is broken, or claim capability in enterprise data science we do not practice. Where the data cannot answer the question, we say so.

07How it works together

How the services work together.

Run in this order, each stage makes the next one honest. Start at reporting and you publish the errors faster.

Fig. Analytics operating flow

  1. 01

    Define

    • Business questions
    • Success definitions
    • Measurement plan
  2. 02

    Implement

    • Tracking audit
    • GA4 and GTM build
    • Data layer and events
  3. 03

    Connect

    • Conversion capture
    • Call and CRM connection
    • Source reconciliation
  4. 04

    Report

    • Executive view
    • Channel detail
    • Alerting on drift
  5. 05

    Decide

    • Read the result
    • Reallocate
    • Test the next question
10Markets served

Where analytics does its best work.

Categories where the sale happens off the website, over the phone, or weeks later, which is exactly where measurement usually breaks. Representative, not exhaustive.

HUB International signage on a modern glass office building

HUB International

Insurance is one of the most competitive categories in paid search, and HUB International served industries whose needs had almost nothing in common. A business researching employee benefits needed a different message than one evaluating cyber liability, and the budget had to stay clear of claims, careers, and consumer traffic.

01 Industry

Professional services. Advertising.

02 What we did

Insurance is one of the most competitive categories in paid search, and HUB International served industries whose needs had almost nothing in common. A business researching employee benefits needed a different message than one evaluating cyber liability, and the budget had to stay clear of claims, careers, and consumer traffic.

0

Campaign themes structured by insurance need

Read the full case study
11Selected engagements

Campaigns measured in outcomes, not impressions.

View all case studies
TeeBoxx logo

TeeBoxx was introducing a new product into a competitive golf-accessories market alongside established brands such as Bushnell, Blue Tees, and Precision Pro. The challenge extended beyond generating awareness. TeeBoxx needed to clearly communicate a multifunctional product, build credibility with golfers, create the assets required for launch, and establish a scalable customer-acquisition strategy across paid search, social media, and e-commerce channels.

Retail and e-commerce | Advertising

Launch to growth

Engaged from product launch strategy through active e-commerce acquisition

Retail and e-commerce

Advertising

Read full story
Golfer in a cart reaching for the TeeBoxx mounted on the cart frame with a course app on screen

TeeBoxx

Fig. 03

Signal to outcome.

Marketing signals only become useful when they reconcile against results the business already recognizes: form leads, phone calls, orders, and closed revenue in the CRM.

Most real outcomes happen off the website.

Contribution is more honest than credit.

Fig. 03From marketing signal to business outcome
Marketing AnalyticsAnalytics Implementation & TrackingConversion Tracking & AttributionReporting & DashboardsMarketing AnalyticsAnalytics Implementation & TrackingConversion Tracking & AttributionReporting & Dashboards
13Questions

Common questions.

  • What does the Analytics capability actually cover?

    Marketing and website measurement. That means deciding what to measure, implementing the tracking correctly, connecting advertising and marketing activity to real outcomes like leads, calls, orders, and CRM results, and reporting it in a way people can act on. It does not mean building a data warehouse or staffing a data science team.

  • We already have Google Analytics. Why would we need this?

    Having Google Analytics installed is not the same as having trustworthy measurement. Most accounts we inherit are counting the wrong events, double counting conversions, missing calls and offline results entirely, or reporting numbers that nobody in the room believes. The value is in the definitions and the implementation, not the tool.

  • Do you offer analytics if Raincross is not running our marketing?

    Yes. Measurement work stands on its own, and it is often the best first engagement because it tells both of us what is actually happening before anyone proposes spending money differently.

  • Do you do marketing mix modeling or advanced incrementality studies?

    No, and we will say so plainly. Those methods require data volume, budget scale, and statistical staffing most organizations do not have. We focus on measurement that holds up: correct collection, clear conversion definitions, honest attribution reporting, and disciplined testing where the data supports it.

  • Can you track phone calls and offline sales?

    Yes. Calls are tracked to the campaign and keyword level where the channel supports it, and closed business can be reconciled through the CRM so revenue, not just form fills, is what gets reported. Many of our clients sell over the phone or in person, so this is usually where the real answer lives.

  • How do you handle privacy, consent, and tracking restrictions?

    Consent and privacy requirements are designed into collection rather than patched afterward. That means consent-aware tag firing, server-side collection where it helps, and reporting that stays honest about what modeled data represents instead of presenting an estimate as a count.

  • How long before the reporting is trustworthy?

    An audit and implementation cycle usually runs four to six weeks depending on the number of platforms and integrations. Attribution and reporting layers follow once collection is clean, because building dashboards on bad data just publishes the errors faster.

  • Who owns the accounts and the data?

    You do. Analytics properties, tag containers, ad accounts, and dashboards are set up in your own accounts with Raincross granted access. If the relationship ever ends, the measurement system stays with the business.

Analytics

Find out whether your marketing numbers can be trusted

We start by reading what you already have. Tracking setup, conversion definitions, platform reporting, and the gap between what the dashboards say and what the business believes. You get a written picture of what is trustworthy and what is not before anyone proposes work.