Know which channels create pipeline
Pipeline attribution dashboard: sourced and influenced pipeline by channel and campaign.
Marketing analytics services that connect ad spend, CRM pipeline and closed revenue, so leadership can see which programs earn their budget.
Our marketing analytics services cover measurement design, the data model and dashboards your team owns.
Each sample runs on demo data, not client data. It shows the structure and KPIs we build, so you can judge the output.
Sourced pipeline per $1 of spend, paid channels, Q3 2026
So what: Shift part of the paid social budget toward search and webinars, then recheck next quarter.
| Channel | Spend | Sourced pipeline | Opps |
|---|---|---|---|
| Paid search | $105K | $1.34M | 58 |
| Organic | n/a | $1.11M | 49 |
| Webinars | $73K | $0.82M | 37 |
| Events | $81K | $0.56M | 24 |
| Paid social | $90K | $0.37M | 18 |
CAC payback in months, by channel, Q3 2026
So what: Spend that pays back beyond the agreed limit is the first candidate for cuts.
| Channel | Cost per opp. | CAC | CAC payback |
|---|---|---|---|
| Paid search | $1,810 | $10,900 | 11 months |
| Webinars | $1,970 | $11,800 | 12 months |
| Events | $3,380 | $18,700 | 19 months |
| Paid social | $5,000 | $32,400 | 33 months |
Stage-to-stage conversion rate, last four quarters
So what: Review the MQL definition and sales follow-up time before adding more top-of-funnel spend.
| Stage | Count | Conversion | Median days |
|---|---|---|---|
| Leads | 4,120 | 31% | 9 |
| MQLs | 1,277 | 18% | 21 |
| Opportunities | 230 | 24% | 67 |
| Closed-won | 55 | n/a | n/a |
Pipeline attribution dashboard: sourced and influenced pipeline by channel and campaign.
Spend efficiency dashboard: cost per opportunity, CAC and CAC payback by channel.
Funnel dashboard: stage-to-stage conversion and velocity from lead to closed-won.
Marketing teams often have more data than ever and less agreement on what it means. Ad platforms each claim credit for the same deal. GA4 sessions do not match CRM leads. Campaign names change mid-quarter, so trends break.
The result shows up in the budget meeting. The CMO presents platform metrics, the CFO asks for pipeline and revenue, and neither side trusts the other's numbers. Marketing spend defaults to last year's plan, and campaign performance is argued rather than measured.
Audit, model, build and hand over, ending with a monthly budget review.
Projects, advisory, a fractional data team, training or a readiness assessment.
Including GA4, HubSpot, Salesforce and Power BI, built on your stack.
Shared metric definitions that marketing, sales and finance sign off.
Our marketing analytics consulting work is organized around the questions leadership asks most. Each service has its own page with methods, deliverables and sample outputs.
Marketing attribution links ads, GA4 and CRM, so every opportunity carries its source in a model finance can audit.
Learn more about Marketing Attribution & Mix Modeling →Customer segmentation groups accounts by fit and value, then builds an ICP scorecard for targeting.
Learn more about Customer Segmentation Analysis & ICP →Marketing dashboards on a governed model, with owners, refresh schedules and written metric definitions.
Learn more about Marketing Dashboards →CRM data cleansing removes duplicates, standardizes lifecycle stages and adds validation rules.
Learn more about CRM Data Cleansing Services & Enrichment →Here is the problem these services solve. Each platform reports its own version of success. Ads count conversions, GA4 counts sessions and the CRM counts opportunities. None of them tells the CFO what a dollar of spend returned.
The insight is simple. The answer only appears when the data is joined at the level of the opportunity and the account. That is where spend, buyer behavior and revenue meet.
So we work in a fixed order. First we make the CRM reliable. Then we attribute pipeline to its sources. Next we segment accounts by value. Finally we put the results on dashboards that each role can read in minutes.
The outcome is one marketing analytics answer to one question: which spend drives revenue, and where should the next dollar go? Each service below can run alone or as part of a wider engagement. A common starting point is the CRM and attribution, because every other answer depends on them.
2 questions. We suggest one next step. Nothing is sent anywhere.
We start with advice, not a build. Each step ends with an output you approve, and we implement only once fit and readiness are confirmed. If you are not ready, we continue with advisory or training.
Advise. Start with advice on what blocks revenue reporting. We review your decisions, tracking, CRM fields and reports, rank the gaps by impact on revenue reporting and confirm we can help.
Everything we build stays with you. Nothing depends on our licenses or our people once the engagement ends.
Measurement plan: events, UTM rules and CRM fields, documented and versioned.
Data model: all sources joined at the opportunity level.
Executive, funnel and channel dashboards with owners and refresh schedules.
Metric dictionary: one definition per KPI, signed off by marketing and finance.
Decision routine: a monthly review agenda that turns the numbers into reallocations.
Marketing analytics services are the work of collecting, joining and analyzing marketing data so a business can see which activities produce pipeline and revenue. For a B2B company, that means linking ad platforms, web analytics and the CRM at the level of the account and the opportunity.
A marketing analytics consultant designs the tracking, builds the data model, defines the KPIs and delivers dashboards. The goal is not more reports. It is a reliable answer to where the next dollar of budget should go, in a form finance accepts: data-driven decisions on marketing spend, backed by actionable insights rather than platform claims.
B2B marketing analytics changes with the sales cycle. We adapt the model to how each sector buys.
We link trials, product usage and expansion to the channels that sourced them.
We tie referrals, events and content to the engagements they won.
We build consent-aware tracking for long, regulated buying cycles.
Every marketing analytics engagement draws on the same core capabilities, from campaign performance tracking to executive reporting.
Marketing ROI measurement: spend, pipeline and revenue by channel, reconciled to the CRM and the books.
Tracking and data collection: GA4, tags, UTM rules and CRM capture, set up to a written plan.
Learn more about Data Collection & Tracking Services →Data integration: ads, GA4 and CRM joined in a warehouse or Power BI model.
Learn more about Data Integration & Data Engineering Services →Attribution modeling: rule-based and multi-touch models compared, with assumptions documented.
Learn more about Marketing Attribution & Mix Modeling →Competitive analysis services: share of search and other public competitor signals, tracked next to your own results.
Executive reporting: short summaries that link marketing activity to pipeline and revenue.
Each capability answers a narrower question, and together they support the budget decision. You do not need all six at once. We start with the capability that unblocks your most pressing budget question.
Tell us which platforms you use, such as GA4, HubSpot or Salesforce, and which budget question you need answered. A consultant will review your setup and follow up to agree a first working session and next steps.
A guide for teams building marketing intelligence in-house.
Data-driven marketing: how to replace opinion with data in budget decisions.
It is written for B2B leaders and the analysts who support them, using demo examples.
Bring your current reports and your hardest budget question. In a first consultation, we will show you what a revenue-linked view of your marketing would look like, which data gaps stand in the way and whether advice, training or a build is the right next step.
They cover tracking, data integration, attribution, segmentation and dashboards that link marketing activity to pipeline and revenue. We design the measurement, build it on your platforms and train your team, so the output is a reporting system you own rather than a one-off report.
We are a data analytics consultancy, not a media or creative agency. We do not buy ads or run campaigns. We measure them, so our recommendations on budget are not tied to the spend we manage. We can also work alongside your marketing analytics agency.
We join spend, CRM opportunities and closed revenue at the deal level, then agree the attribution rules with finance before any dashboard is built. The CFO sees cost per opportunity, CAC payback and revenue by channel, using definitions finance has already approved.
We work with GA4, HubSpot, Salesforce, Power BI and the main ad platforms, plus Zapier, Make and n8n for data movement. We build on the stack you already have where it fits, and recommend changes only when a gap blocks reliable reporting.
It depends on the state of your tracking and CRM. An audit typically takes 2 to 3 weeks, and a first build 4 to 8 weeks (typical, depends on scope). We confirm a fixed list of deliverables and milestones after the audit, and you can retain us afterward as a fractional data team.
Yes. We are based in Dubai, serve teams across the UAE and deliver remotely worldwide, including the United States and Europe. Workshops, working sessions and decision reviews are scheduled in your time zone, and all documentation and dashboards are delivered in English.