Marketing Attribution and Measurement Built for Finance
Connect marketing activity to applications, approvals and conversions, giving finance teams a clearer picture of what’s driving revenue. See what’s working, prove the impact of your marketing, and make every budget decision with greater confidence.
COMPANIES MEASURING MARKETING EFFECTIVENESS WITH RULER
The gap between marketing activity and real outcomes
Financial services brands put significant investment into demand generation, from video and social to OOH, TV and sponsorships. Yet when it comes to last-click attribution, the client journey often looks very different:
The channels that created the demand look like they did nothing. The channel that captured it looks like a hero.
Applications and enquiries happen offline
A large share of finance applications are still completed over the phone or during a branch appointment, rather than through a website form. A digital platform can tell you that an enquiry came through, but that’s only half the story. What the business really needs to know is whether that enquiry went on to generate revenue, and that’s where most reporting falls short.
Branded search takes the recognition for demand it didn’t create
Branded search is often treated as the reason a client chose to apply, when it may simply be capturing demand that TV, display or social activity created days or weeks earlier. The search is easy to measure because it’s often the last click before the application, but that doesn’t mean it created the demand.
Not every application, or every client, is worth the same
Not every application or client represents the same value, but a lot of tracking treats them exactly the same way. And when a client comes back later to renew a policy or take out a second product, gaps in the tracking mean that return business is rarely linked back to the marketing that brought them in the first time around.
Every ad platform tells you something different
Ad platforms like Google Ads and Meta work in silos, each with its own measurement methodology, and none of them reconcile with each other. Working out what’s actually driving revenue, rather than what’s simply reporting well, gets harder with every extra platform you add.
How Ruler connects marketing activity to revenue
Ruler is a first-party attribution and measurement platform that captures the full client journey, and links every channel, including the ones that never get clicked, back to actual revenue. Here’s how the pieces fit together:
Capture every conversion with first-party tracking
A first-party JavaScript tag follows the full client journey from first visit through to a funded account or approved application, whether it converts online, over the phone, via live chat, or in branch. As it’s first-party, it isn’t subject to the same degradation as third-party cookies, a tracking foundation built to last.
Connect journeys to real revenue
Ruler matches leads and applications to your CRM and core banking or policy administration records, enriching each one with complete attribution data. Instead of simply counting enquiries, you can see which marketing activities are driving revenue, which are delivering the highest-value clients, and where your marketing investment is having the greatest impact.
Measure the channels that never get clicked
Marketing mix modelling quantifies the true incremental impact of every channel, including TV, radio, OOH, print, and sponsorships that generate no click data at all, accounting for seasonality, rate changes, competitor activity, and diminishing returns across up to 30 variables simultaneously.
Redistribute contribution to where demand was created
Ruler’s data-driven approach to measuring marketing impact combines click-path data with MMM-derived impression weightings. It shifts the focus away from over-weighted channels like direct and brand search, towards the upper-funnel activity, Connected TV, video, display and paid social, that actually generated interest behind the application. Compare it side by side with first click, last click, linear, position-based and time-decay models.
Feed better signals back to your platforms
Ruler ingests data from your ad platforms, CRM, core banking system, and loan or policy admin system, then pushes enriched attribution data back out. Your CRM carries source and journey data; your ad platforms receive real application value and funded-account signals, so automated bidding optimises toward revenue rather than form submissions.
Plan future spend with scenario modelling
Diminishing return curves show exactly where each channel is saturated and where additional spend still delivers. Model the impact of shifting budget between brand and performance before committing a penny, and plan confidently around tax season, ISA deadlines, renewal periods, and rate-driven demand.
Why financial services marketers choose Ruler
Purpose-built measurement for an industry where demand is created long before it converts, and where the channels that build your brand are the hardest to defend at budget time.
Prove brand marketing’s contribution to revenue
Measure the impact of upper-funnel activity, TV, CTV, video, social, OOH, on enquiries, applications, funded accounts and revenue. MMM combined with impression-weighted attribution turns “we believe brand works” into evidence the team can act on.
Weight channels by value, not application volume
Tie each touchpoint to the actual value recorded in your CRM and core banking or policy admin system, so you see which channels bring in the clients who generate the most revenue, not just the ones who apply the most.
Reconnect returning clients to the marketing that won them first
A client who returns a year or two later can look like a brand-new, unattributed application, when it’s actually the result of a relationship built the first time around. Connecting that return business back to the original campaign or channel that brought the client in ensures retention and reputation-building work gets the value it deserves.
One deduplicated view across channels
Duplicate applications claimed across multiple platforms are stripped out, and every channel is tied back to the same funded-account value, so campaigns and product lines can finally be compared like for like.
Bring offline applications into the model
A lot of your highest-value business closes over the phone or in a branch appointment, often weeks after the digital trail has gone cold. Connecting those calls and branch visits back to the journey that led there means your most valuable revenue no longer falls out of the reports.
Spot diminishing returns before you overspend
Diminishing returns curves and scenario modelling show exactly where performance channels have maxed out, where additional budget still pays back, and how demand moves around tax season, ISA deadlines, renewal periods and rate-driven demand.
Measurement solutions built for financial services marketers
Powerful features that finally make upper-funnel and brand activity measurable, and defensible.
Marketing Mix Modelling
The gold standard for measuring brand media. Statistical modelling across every channel, including TV, radio, OOH, print, and sponsorships, with historical lookback and forward-looking forecasts. Accounts for seasonality, rate changes, competitor activity, and diminishing returns across up to 30 variables. If it influences applications, Ruler measures it, click or no click.
Multi-Touch Attribution
Compare first click, last click, linear, position-based, and time decay models side by side, so you can see exactly how each channel contributed to the final application, not just which one captured it.
DDA + Impression Modelling
Redistributes attribution contribution to the channels that build awareness but never get clicked, Connected TV, video, display, paid social. MMM-derived weightings ensure the channels creating demand are properly acknowledged, not just the brand search and direct traffic that captured it. Critical for financial services, where consideration windows for mortgages, insurance, and investment products often span months.
Offline Conversion Tracking
Stitch phone applications, branch appointments, and advisor consultations back into the digital journey. For financial services, where the highest-value business converts offline, this closes the gap between the demand your marketing creates and the revenue your reporting shows.
Budget Scenario Planner
Diminishing return curves show exactly where each channel is saturated and where additional spend still delivers. Model optimised, efficiency, and custom scenarios, including shifts between brand and performance budgets, before committing. Plan around tax season, renewal periods, and rate-driven demand with confidence.
“With Ruler’s data we’re now able to optimise campaigns based on actual funded accounts, as opposed to web conversions.”
Daniel Marshall, Moneypenny
“Fixed our problem with revenue attribution. We can now see exactly which campaigns drive funded accounts, not just leads.”
Jack, Head of Digital Marketing
“A must-have to track leads across multiple tech stacks. The CRM enrichment alone changed how our advisory team works.”
Ezrul, Senior Demand-Gen Consultant
“Ruler Analytics allows us to invest in the right channels and create effective campaigns that deliver results for our clients.”
Charlotte, Head of Marketing
Financial services FAQs
What is marketing attribution for financial services?
Marketing attribution for financial services is the process of tracing which marketing activity, whether that’s a paid search ad, a piece of CTV, or an OOH campaign, actually led to a funded account or approved application. Because so much high-value business, mortgages, wealth mandates, commercial lending, converts over the phone or in a branch rather than online, attribution needs to connect those offline conversions back to the campaign that started the journey, not just count the click that happened right before the client got in touch.
How can financial services companies attribute phone calls and branch visits to marketing campaigns?
Call tracking assigns a unique, trackable phone number to each visitor based on how they arrived at your website or landing page, whether that’s a specific ad, keyword, or channel. When that visitor calls or books a branch appointment, the tracking software logs which campaign brought them there, and once that interaction is linked to a funded account or approved application in the CRM or core banking system, its value can be tied straight back to the original marketing source.
What is the best attribution model for financial services businesses?
There isn’t a single model that suits every financial services business, since the right choice depends on how long the average client takes to decide and how many touchpoints they typically go through before applying. Multi-touch models such as position-based or time decay tend to work better than single-touch models like first or last click, because they give proper credit to the awareness-building channels, TV, CTV, video, that happen well before a client finally applies. Many financial services marketers find it useful to compare several models side by side rather than committing to just one.
What is Marketing Mix Modelling for financial services businesses?
Marketing Mix Modelling, or MMM, is a statistical approach that looks at total applications or funded accounts over time and works out how much each marketing channel contributed, including channels like TV, radio, print, and sponsorships that don’t produce a click to track. It accounts for factors like seasonality, rate changes, and competitor activity, which makes it especially useful for financial services, where a lot of brand-building spend would otherwise go unmeasured by click-based tracking alone, and where consideration windows can span months.
How can financial services companies optimise marketing spend for funded accounts?
The key is measuring spend against completed, funded accounts rather than raw application volume, since a channel that generates lots of cheap applications isn’t necessarily the one bringing in the most valuable clients. By connecting campaign data to actual account values in the CRM or core banking system, and layering in diminishing returns analysis to see where each channel starts to plateau, financial services marketers can shift budget toward the channels that reliably convert applications into funded accounts rather than the ones that simply generate the most clicks.