Choosing a mortgage, a loan, or a financial adviser isn’t an impulse decision. A prospective customer might interact with several touchpoints, paid ads, organic search, your website, a conversation with your team, before submitting an application and eventually closing into revenue
By the time an application is submitted, most of the touchpoints that built the confidence behind that decision have already dropped out of your attribution model. If you’re relying on GA4 and platform-reported metrics to make budget decisions, you’re making them on an incomplete picture.
Here’s what’s being missed ↓
Four ways standard attribution misses the full picture
Long consideration windows
A prospective customer sees a paid social ad, spends weeks comparing rates and reading reviews on independent platforms, returns via organic search, and eventually applies or calls an adviser directly. Last-click attribution assigns all of the value to the final touchpoint and none to the channels that spent weeks building trust. Without a model that accounts for impression-based influence, upper-funnel channels appear to have no effect on the outcome at all. Budget gets pulled, applications slow down, and the attribution data offers no explanation, because it was never tracking the channels responsible.
Adviser calls and offline applications
Mortgages, larger loans, and advised products, the business that matters most commercially, are often submitted over the phone with an adviser or in a branch appointment rather than through an online form. When those calls and advised applications aren’t connected back to the marketing that drove them, your highest-value business goes unmatched in your reporting, and the channels responsible for generating it are measured as if they contributed the least.
Platform reporting that doesn’t add up
Google, Meta, and other ad platforms each report applications within their own attribution windows, and none of them account for what the others are claiming. Add these figures together and they’ll typically sum to two or three times your actual completed applications or enquries. Most budget decisions get made on those individual platform views, which means you’re optimising against reported totals that don’t reflect reality.
Repeat and referred customers
A customer who took out a policy or a loan with you before and comes back for a remortgage or a new product looks like a brand new direct enquiry, no campaign, no channel, no source. But that return is the result of good service and enough trust that they didn’t go back to a comparison site this time. If every direct enquiry counts as unattributed, retention and trust-building activity is measured as having no impact, and budget gets allocated as though repeat and referred business generates itself, with no marketing input.
A measurement model shaped around the customer’s financial journey
First-party tracking, every enquiry type
Ruler tracks calls, form submissions, and live chat enquiries using a first-party tag that follows the full journey from first visit to an enquiry or submitted application, holding up as third-party cookies keep degrading.
Multi-touch attribution
Compare first click, last click, linear, position-based, time decay, and data-driven models side by side. Enquiries and applications match to CRM records and full journey data, so you report on completed, funded business, not just enquiry counts.
DDA + impression modelling
Click-path data combines with MMM-derived impression weightings. Attribution shifts away from over-weighted direct and brand search, towards the upper-funnel activity, CTV, display, video, that built the trust needed for a financial decision but never earned a click.
Marketing mix modelling
Statistical modelling across every channel, including TV, radio, and offline media, with historical lookback and forward budget forecasts. Accounts for rate cycles, competitor activity, and diminishing returns across up to 30 variables at once.
Budget scenario planner
Diminishing return curves show exactly where each channel is saturated and where incremental spend still delivers. Model optimised, efficiency, and custom budget scenarios before committing spend, built for a sector where rates and demand move fast.
Integrations and data enrichment
Ruler ingests data from your ad platforms, CRM, and case management system, then pushes enriched attribution data back out, so application and revenue signals improve how automated bidding is optimised, rather than sitting unused in a report.
What changes with a unified measurement model
Deduplicated reporting across every channel
Ruler deduplicates applications claimed across multiple platforms and matches each one to CRM revenue data, giving you one consistent view of performance across channels rather than a separate, conflicting view from each platform.
Offline conversions included in the marketing model
Conversions that happen offline, whether through adviser conversations, phone applications, branch visits, or other assisted channels, are captured and matched back to marketing source. This brings offline business into the same measurement model as digital applications, giving firms a more complete view of which marketing activity is driving customers through to completed business.
Revenue value, not just enquiry volume
Touchpoints connect to CRM, administration and revenue systems, so you can see which campaigns drove your highest-value applications and completed business, not just which generated enquiries.
New vs returning customer
Segment performance by new versus returning customer, and stop optimising for enquiry volume when what you actually need is incremental reach into new audiences.
Accurate weighting for channels without clicks
Display, video, CTV, and paid social build the credibility a financial decision needs but rarely earn the last click. Impression modelling assigns them the attribution weighting the underlying data shows they’ve earned.
Better signals back to your platforms
When Google and Meta receive real application and revenue data rather than just form fills, automated bidding optimises toward the outcomes that actually matter, not simply the volume of forms submitted.
Trusted by teams who need the full picture
Fixed our problem with revenue attribution. We can now see exactly which campaigns drive closed revenue, not just leads.
With Ruler’s data we’re now able to optimise campaigns based on actual won business, as opposed to web conversions.
A must-have to track leads across multiple tech stacks. The CRM enrichment alone changed how our sales team works.
Ruler Analytics allows us to invest in the right channels and create effective campaigns that deliver results for our clients.
Financial services brand unifies MMM and MTA to connect online and advised business
Financial businesses face uniquely complex measurement challenges. Customers often take weeks to convert, move between multiple platforms and domains, and complete transactions through systems that sit outside the marketing stack. For this online tax return service, marketing performance was being measured largely through form fills and fragmented platform reporting. Google, Meta and TikTok each reported their own version of performance, while customer and revenue data lived separately in back-end systems. By implementing first-party tracking, connecting anonymous journeys to known users, matching sales revenue back to the original marketing touchpoints, and feeding confirmed revenue back into Google Ads, Ruler gave the team a single, reliable view of marketing performance. The result was a step-change in both measurement and paid media performance.
Cost per enquiry had been the primary benchmark for close to a decade, because it was the only thing they could reliably track. By combining marketing mix modelling and multi-touch attribution through Ruler, the team built a single view of performance across every channel, online and advised, measured the same way for the first time.
Ready to see how marketing drives revenue?
Ruler connects your channels to real application and revenue data, closes the gaps that standard attribution leaves open, and gives you the measurement clarity financial services marketing demands.