CAPABILITIES / ANALYTICS
Analytics & Attribution for B2B
Analytics that connect your marketing activity to pipeline and revenue, so you can prove what’s working, stop what isn’t, and finally answer the question your board keeps asking.
Senior CRO Developer
Analytics & Insights Specialist
AI Automation Engineer
TYPICAL RESULTS FROM OUR ANALYTICS PROGRAMS
Dashboard the board trusts
One source of truth. No footnotes.
Less time rebuilding reports
Once the measurement architecture is unified.
Budget reallocation impact
When attribution becomes actionable, not descriptive.
INTEGRATION STATEMENT
Analytics built into the operation, not bolted on.
THE PATTERN
Most B2B analytics setups are a patchwork of tools that produce conflicting numbers, with five platforms reporting five different figures for the same campaign, and nobody knows which version the board should see.
HOW WE'RE DIFFERENT
At Somebody Digital, analytics and attribution are built into the operation from day one.
WHY IT COMPOUNDS
When the same team that runs your campaigns also owns the measurement, there are no translation gaps between the people generating the data and the people reporting on it.
THE PROBLEM THIS SOLVES
You have more marketing data than ever. It's producing arguments, not answers.
You have more marketing data than ever, but instead of producing clarity, it produces arguments. Your leadership team doesn’t trust the numbers because every report tells a different story. Here’s what that typically looks like in practice:
01
Attribution models that distort the picture.
Your current attribution model gives 100% credit to the last touchpoint before the conversion, making every other marketing investment look like a waste. Your SEO team, your content team, and your brand campaigns appear to contribute nothing because the last-click model can't see their influence. Budget decisions get made on distorted data, and channels that build a long-term pipeline lose funding to channels that are the final touch.
02
A quarterly review that debates data instead of decisions.
Half of your quarterly marketing review is spent debating whose numbers are correct rather than deciding what to do next. Your paid media team shows strong performance on their dashboard. Your content team shows strong traffic from theirs. Your CRM shows a pipeline that doesn't match either number. The meeting ends without action because no one believes the data enough to act on it.
03
Marketing reports rebuilt from scratch every month.
Your reporting infrastructure is fragile. Reports are manually rebuilt each month because the data sources keep changing, the tracking breaks when someone updates the website, and nobody maintains the logic between reporting periods. The time your team spends building reports every month is time they aren't spending on improving performance.
04
The board question nobody can answer confidently.
Your CEO or PE board asks, “What did marketing deliver this quarter?” and the answer requires footnotes, caveats, and a 20-slide appendix explaining methodology. The reason the question is hard to answer isn’t that marketing didn’t deliver. It’s that the measurement systems are too fragmented to produce a clear, defensible number.
ARE YOU MAKING
Decisions in the Dark?
WHAT'S INCLUDED
What analytics and attribution look like inside an integrated operation.
A unified data architecture that connects your ad platforms, marketing automation, CRM, and website analytics into one coherent system with shared definitions for leads, conversions, and pipeline stages. When everyone uses the same definitions and data sources, arguments about whose numbers are correct stop.
Attribution modeling that captures the full buyer journey rather than assigning all credit to a single touchpoint. We implement multi-touch attribution that shows how organic content, paid campaigns, ABM engagement, and direct outreach work together to produce pipeline, so budget decisions are based on actual influence patterns rather than last-click artifacts.
Reporting that connects marketing activity to pipeline and revenue outcomes. Your leadership team sees one dashboard with metrics that matter: pipeline generated, cost per qualified opportunity, marketing-sourced revenue, and pipeline velocity: no footnotes, no caveats, no 20-slide methodology appendix.
Analytics that don’t just report performance but actively improve it. When the analytics team sits inside the same operation as your paid, organic, and content teams, insights translate into action immediately. An attribution insight about which content drives pipeline doesn’t sit in a report waiting for someone to read it; it changes the content calendar that same week.
HOW IT WORKS
How we build your analytics program.
PHASE 1
Data Audit
We audit your current analytics infrastructure: which tools are in place, how data flows between them, where tracking breaks, which definitions are consistent and which conflict, and how (or whether) marketing data connects to pipeline reporting. The audit typically reveals that the problem isn’t a lack of data but a lack of connection and consistency between data sources.
KEY OUTPUT
Data audit with gap analysis and unified measurement plan
PHASE 2
Measurement Architecture
We design and build the measurement architecture: unified tracking implementation, consistent event and conversion definitions across all platforms, multi-touch attribution model, and pipeline-connected reporting dashboards. The architecture is built to serve both operational needs (what should we optimize today?) and executive needs (what did marketing deliver this quarter?).
KEY OUTPUT
Unified measurement architecture with attribution model and executive dashboard
PHASE 3
Baseline and Calibrate
The new measurement system goes live alongside your existing reporting for a calibration period. We establish pipeline-connected baselines for every channel and campaign, identify historical attribution gaps, and build confidence in the new numbers before retiring the old reports. This overlap period is critical because switching to new numbers without calibration undermines trust.
KEY OUTPUT
Calibrated baselines with comparison to previous reporting, ready for executive adoption
PHASE 4
Continuous Optimization
Analytics shifts from a reporting function to an optimization engine. Attribution insights drive budget reallocation, content priorities, paid media targeting, and ABM strategy. The analytics team surfaces opportunities and flags problems in real time rather than waiting for the monthly report. Each optimization cycle feeds into the next because the data gets richer and the attribution model becomes more accurate with each new data point.
KEY OUTPUT
Monthly organic performance report tied to pipeline contribution, with compounding growth trajectory
CASE STUDIES
The shift from chaos to clarity, measured in pipeline, revenue, and board confidence.
Software Development Client
ABM CASE STUDY
VP Marketing, TechVenture
KEY RESULTS
4X
Pipeline growth
$3.2M
revenue influenced
Board-ready attribution
for the first time in the company’s history
Software Development Client
ABM CASE STUDY
VP Marketing, TechVenture
KEY RESULTS
4X
Pipeline growth
$3.2M
revenue influenced
Board-ready attribution
for the first time in the company’s history
Software Development Client
ABM CASE STUDY
VP Marketing, TechVenture
KEY RESULTS
4X
Pipeline growth
$3.2M
revenue influenced
Board-ready attribution
for the first time in the company’s history
HOW THIS CONNECTS
How SEO connects to everything.
SEO delivers the strongest results when it’s connected to the content production, paid intelligence, and measurement systems that make organic growth commercially meaningful.
Paid Media & Demand Capture
Analytics without paid media integration means you're reporting on campaigns you don't control. When analytics and paid media teams share data and accountability, attribution insights can change campaign targeting and budget allocation in real time, rather than appearing in a report that someone might act on next quarter.
CRO & Conversion Optimization
CRO experiments need attribution data to measure what matters. When analytics is connected to CRO, every test is measured against pipeline outcomes rather than form submission rates, and winning variations are identified based on revenue impact rather than conversion volume.
SEO & Organic Growth
Organic pipeline attribution is one of the hardest measurement challenges in B2B marketing. When analytics and SEO operate under the same umbrella, organic performance is measured against pipeline contribution rather than just traffic and rankings. This difference is the difference between SEO being seen as a growth driver and as a cost your CFO questions.
Demand Generation
Analytics is the measurement layer for your entire demand generation operation. Without pipeline-connected analytics, demand creation programs (SEO, content, brand) always look like cost centers and demand capture programs (paid, CRO) always get disproportionate credit. Unified attribution reveals how demand creation and demand capture work together to produce revenue.
FREQUENTLY ASKED
Common questions about analytics & attribution.
Our analytics capability includes marketing data strategy, unified tracking implementation, multi-touch attribution modeling, pipeline and revenue reporting, and continuous performance optimization. Every element is designed to connect your marketing activity to pipeline and revenue outcomes, and the analytics team sits inside the same operation as your campaign teams, so insights become actions immediately.
Tools are infrastructure. Analytics is intelligence. Google Analytics, HubSpot, and your CRM are all critical data sources. Still, none of them can connect the full buyer journey across channels, reconcile conflicting conversion data, or produce the multi-touch attribution view that reveals how your marketing investments actually work together. Our analytics capability sits on top of your tools and integrates them into a single system rather than five separate dashboards.
Initial measurement architecture and unified tracking can be implemented within four to six weeks. Reliable multi-touch attribution data requires 60 to 90 days of calibrated data collection to establish accurate baselines. Board-ready reporting that your leadership team trusts is typically in place within the first quarter. The attribution model gets more accurate over time as it accumulates more data points about your specific buyer journey.
We implement the attribution model that best reflects your actual buyer journey, which varies by business. For most B2B companies with complex, multi-touch sales cycles, we use a data-driven or weighted multi-touch model that accounts for both first-touch awareness and last-touch conversion, as well as the content, campaigns, and interactions in between. The model is calibrated to your data rather than applied as a generic framework.
You can start with analytics as your first engagement, and it’s often one of the most valuable starting points because it reveals where your marketing operation is underperforming and why. Even as a standalone service, our analytics work connects to your existing campaigns from day one to start producing pipeline-connected insights immediately.
Director of Digital Strategy & Client Solutions
Head of SEO
READY TO OPTIMIZE?
Prove what marketing actually delivers.
We’ll review your current analytics and attribution setup, identify where data fragmentation is hiding your real marketing performance, and show you what board-ready reporting looks like when every channel is connected to pipeline.
- Real people, not automations
- Honest if it's not a fit
- No commitment required
Director of Digital Operations
Senior CRO Manager