Marketing campaign analytics | Use case | Bloonde Soluciones Tecnológicas

Most SMEs invest in digital marketing without knowing for certain which channels generate customers and which only generate cost. Google Ads, social media, email marketing, SEO — each platform shows its own metrics, but none provides the complete picture.

A centralised marketing analytics system cross-references data from all channels to show you the real ROI of every euro invested, attributes conversions accurately, and indicates where to increase or decrease spend to maximise results.

At Bloonde we help companies stop spending blindly and start investing with data. Typical results: a 25–35% reduction in customer acquisition cost while maintaining or increasing lead volume.

Marketing analytics panel with ROI metrics and campaign attribution

The problem it solves

Companies invest in multiple marketing channels simultaneously, but each platform reports separately with different metrics. Google says one thing, Meta says another, and the CRM something completely different. It's impossible to know the true source of conversions.

Without reliable attribution, investment decisions are based on vanity metrics (impressions, clicks, reach) rather than real business results. The budget is distributed out of inertia instead of by performance.

Isolated metrics per channel

Each ad platform shows its own data using different criteria. Adding up conversions from all of them means counting them two or three times.

Unknown ROI per campaign

You know how much you spend overall, but not how much each specific campaign, ad, or channel returns in actual revenue.

Budget allocated by inertia

The budget is split the same way as last year, with no evidence of which channels generate profitable customers and which only generate cost.

Slow, manual reporting

Marketing reports are prepared manually each month, by which time it's too late to correct underperforming campaigns.

Marketing–sales disconnect

Marketing measures leads, sales measures closings, but nobody cross-references the data to find out which campaigns generate real customers.

How it works

We implement your marketing analytics system in 4 phases:

01

Channel & tracking audit

We review all your marketing channels, verify the current tracking (UTMs, pixels, events), identify gaps, and define the right attribution model for your business.

02

Data centralisation

We connect all ad platforms, Google Analytics, the CRM, and email marketing tools into a single data warehouse where data is automatically cross-referenced.

03

Marketing analytics dashboard

We build a panel with ROI by channel, acquisition cost per campaign, conversion funnels, and time-based comparisons. Every metric is connected to real sales data — not platform estimates.

04

Optimisation & recommendations

We analyse the data weekly and propose adjustments: budget reallocation, pausing underperforming campaigns, and scaling the ones that work. The dashboard is updated in real time.

Key benefits

Real ROI for every channel and campaign

Know exactly how many euros in revenue each euro invested generates — per channel, campaign, and ad.

Reliable conversion attribution

An attribution model tailored to your business that eliminates double-counting and assigns conversions to the actual source.

Lower customer acquisition cost

By identifying the most efficient channels, you can reallocate budget and reduce CAC by 25% to 35%.

Real-time investment decisions

Don't wait for the monthly report. The dashboard shows performance in real time, enabling weekly or even daily adjustments.

Marketing–sales alignment

Marketing and sales data are cross-referenced automatically: you know which campaigns generate leads that actually convert into customers.

Historical data for planning

You accumulate comparable data month-on-month and year-on-year, enabling you to plan budgets based on actual historical performance.

Technologies we use

Google Analytics 4 / Tag Manager

Advanced event tracking, conversion, and user behaviour tracking on the web with server-side configuration when required.

Ad platform APIs

Direct connection to Google Ads, Meta Ads, LinkedIn Ads, and other platforms to extract cost, impression, and conversion data.

Power BI / Looker Studio

Interactive dashboards with filters by channel, campaign, period, and audience segment for detailed performance analysis.

Python + Pandas

Data processing scripts for custom attribution models and ROI calculations that platforms don't offer natively.

CRM (HubSpot / Salesforce)

CRM integration to cross-reference campaign data with actual sales data and close the attribution loop.

Case study: B2B company with uncontrolled ad spend

Scenario

A B2B services company with 25 employees was investing €4,000/month in Google Ads, LinkedIn Ads, and email marketing. The marketing manager knew how many clicks and leads each channel generated, but not how many converted into customers or what the real ROI was.

Challenge

Connect ad platform data with the CRM to determine the true acquisition cost per channel and optimise the marketing budget allocation.

Solution

We implemented a data warehouse that centralised data from Google Ads, LinkedIn Ads, Mailchimp, and HubSpot CRM. We built a dashboard with ROI by channel, CAC per campaign, and a complete funnel from impression to closed deal. We configured a multi-touch attribution model tailored to the company's long sales cycle.

-32%

CAC reduction

100%

Marketing ROI visibility

+28%

Qualified leads

-90%

Reporting time

Frequently asked questions

Does it work with any ad platform?

Yes. We integrate with Google Ads, Meta Ads, LinkedIn Ads, Twitter Ads, TikTok Ads, and any platform that offers a reporting API. We also connect with email marketing tools and CRMs.

What attribution model do you use?

It depends on your business model. For short sales cycles (e-commerce) we use data-driven attribution. For B2B with long cycles, we use multi-touch models that value each funnel interaction.

How long until it's operational?

Between 3 and 5 weeks. The first week covers auditing and tracking setup, followed by data integration and dashboard development.

Do I need a CRM for it to work?

It's not mandatory, but highly recommended. Without a CRM we can measure up to web conversion (lead). With a CRM we close the loop all the way to the sale and obtain the real ROI.

Is the data in real time?

Ad platform data is updated every 24 hours (a limitation of their APIs). Web and CRM data can be real-time or updated hourly, depending on the configuration.

Want to know which campaigns actually generate customers?

Tell us about your current marketing spend and we'll propose an analytics system that gives you real visibility into your ROI. First consultation is free.