Conversion Tracking

Tracking form submissions is a reasonable starting point but a poor endpoint. In B2B, especially in finance and professional services, a meaningful share of form fills never become sales-qualified leads, and an even smaller share close as revenue — sometimes months after the original touchpoint. Reporting on form fills alone rewards channels that generate volume regardless of quality.

We've audited accounts where the top-performing channel by form-fill volume was actually the worst performer by closed revenue once full-funnel tracking was in place — a discovery that reallocates budget significantly once it's visible, but stays invisible without proper tracking infrastructure.

Fixing this requires connecting marketing data to CRM data reliably, which is a technical project, not just a reporting dashboard change.

We implement a structured event-tracking framework across your website and key funnel steps — form starts, form completions, pricing page views, demo requests, content downloads — tagged consistently through a tag management system so data stays organised as your site and campaigns evolve.

With increasing browser restrictions on third-party cookies, we implement server-side tracking and first-party data collection where needed, particularly important for platforms like LinkedIn and Google Ads where client-side-only tracking increasingly underreports genuine conversions.

For every lead captured, we ensure consistent identifiers (UTM parameters, click IDs, form hidden fields) are passed through to the CRM, so a lead's original source and campaign remain visible throughout its lifecycle rather than getting lost after the first touch.

The critical connection most conversion tracking setups miss is linking ad platform and analytics data back to CRM outcomes — sales-qualified status, opportunity creation, and closed revenue. We build this integration so campaign performance can be reported by pipeline and revenue influenced, not just by lead volume.

For finance and fintech clients with sales cycles often running three to nine months, this closed-loop view is essential — evaluating a campaign's success after four weeks based on lead volume alone routinely leads to premature and wrong decisions about what's actually working.

Last-click attribution systematically undervalues the channels and content that influence a buyer early in their journey — the LinkedIn ad that first built awareness, the blog post that came up in research, the retargeting ad that kept your brand visible during a long evaluation period. We implement multi-touch attribution models appropriate to your sales complexity, giving credit across the full journey rather than only to the final touchpoint.

We're pragmatic about attribution model choice — a full data-driven model requires volume that many B2B companies don't have, so we often use a position-based or time-decay model as a practical middle ground that's still far more accurate than last-click alone.

Marketing teams, sales leadership and finance stakeholders each need different views of the same underlying data. We build reporting dashboards tailored to each audience — campaign-level detail for marketing, pipeline and forecast visibility for sales leadership, and revenue-attributed spend efficiency for finance — rather than one generic dashboard that satisfies nobody fully.

These dashboards pull live from your CRM and ad platforms rather than requiring manual data compilation each month, which both saves time and removes the risk of stale or manually manipulated numbers appearing in board reporting.

Tracking setups decay — website changes break tags, new campaigns launch without proper UTM tagging, and platform changes (like iOS updates or cookie deprecation) silently reduce data accuracy over time. We run periodic tracking audits to catch and fix these issues before they distort reporting for months undetected.

This ongoing maintenance is often the difference between a tracking setup that's accurate at launch and one that quietly drifts into unreliability within two quarters — which is exactly when most companies notice something looks wrong in their numbers without knowing why.