Financial services firms rarely have a shortage of customer and prospect data.

The harder problem is knowing which signals should change what sales does next.

A prospect may visit several product pages, return to a specific area of the website, submit a form, engage with a campaign and speak to sales over a period of months. In a complex financial services business, those signals can also sit across different websites, divisions, marketing platforms and CRM systems.

The opportunity is to turn that activity into something much simpler:

Who is showing real intent, what are they interested in, and what should the team do next?

Read the full Ascensus case study:

Why buyer intent matters in financial services

Financial services buying journeys are rarely linear.

Prospects may research for months before they are ready for a conversation. Multiple people can be involved in a decision. Different products and business units can have completely different buying cycles.

That creates a problem for traditional lead management.

A form submission tells you what somebody was prepared to enter at one moment. It does not necessarily tell you whether their interest is increasing, what else they have researched or whether they are becoming more likely to buy.

Behavioral data adds that missing context.

Repeated visits to a specific product or service can indicate developing interest. Activity across high-intent pages can help separate active research from casual browsing. A sudden increase in engagement can give sales a reason to re-engage an existing account.

The important part is making those signals usable.

Turn digital engagement into a sales priority

Tracking activity is only useful if it changes what happens next.

For a financial services revenue team, behavioral intent can help answer several practical questions:

• Which prospects should sales contact first?
• Which existing accounts are becoming more active?
• What product or service is somebody researching?
• Which contacts need further nurture rather than immediate sales outreach?
• Which combinations of marketing and sales activity tend to appear before an opportunity is created?

Instead of asking sales teams to interpret another analytics dashboard, those insights can be pushed into the systems they already use.

A rep opening a CRM record can see recent activity, areas of interest and an indication of engagement alongside the existing customer and opportunity data.

That gives the score context.

Use buyer intent across multiple teams and business lines

This becomes particularly useful for larger financial services organisations.

Different divisions may have different products, websites, qualification criteria and sales processes. A single generic definition of a “hot lead” is unlikely to work across all of them.

Behavioral scoring can instead be adapted around the signals that matter to each part of the business.

One team might use engagement to prioritize inbound enquiries. Another may use it to identify renewed interest inside existing accounts. Marketing can use the same underlying data to segment audiences and personalise nurture.

The objective is not to force every team into the same process.

It is to give them a shared source of first-party intent data that can be applied to their own revenue motion.

Connect marketing engagement to opportunities

Behavioral data also creates possibilities beyond day-to-day lead prioritization.

When digital engagement is connected to CRM and opportunity data, revenue teams can start analysing which combinations of activity tend to occur before pipeline is created.

That can include website engagement, form submissions, campaign activity, sales touches and firmographic information.

Over time, the question moves from:

“Did this campaign generate leads?”

to:

“Which combinations of marketing and sales activity are associated with opportunities and revenue?”

That gives Marketing Ops and RevOps a much stronger basis for improving scoring models, campaign investment and sales processes.

A financial services lead scoring case study: Ascensus

Ascensus is a US financial services company helping millions of people save for retirement, education and disability-related expenses.

Its sales teams operate across multiple lines of business, creating a familiar challenge: how do you turn first-party digital engagement into useful sales intelligence without introducing another system that reps need to manage?

Ascensus uses SalesWings to bring behavioral engagement and buyer-intent signals into its CRM workflows.

Sales teams can access digital engagement signals as part of their existing sales process, helping them understand what prospects are researching and prioritize outreach using real behavioral data.

The data is also used more broadly.

Ascensus has combined SalesWings engagement data with sales activity and firmographic information to analyse the combinations of marketing and sales actions that correlate with opportunities. Behavioral scoring supports lead qualification, while CRM workflows can create tasks for sales when prospects show sufficient intent.

The result is a closer connection between digital marketing activity and what sales does next.

Read the full Ascensus financial services case study

Give sales the context behind the signal

A lead score on its own is rarely enough.

If somebody is marked as high priority, sales should be able to understand why.

That could mean seeing that a prospect has returned several times in the last week, repeatedly researched the same service and engaged with a relevant campaign.

The conversation can then start with context rather than a generic follow-up.

This is particularly useful in financial services, where trust, timing and relevance matter and buying decisions can develop over a long period.

The same data can also prevent premature outreach. Prospects displaying early-stage research behaviour can remain in relevant nurture until their activity indicates stronger intent.

Make first-party data part of the revenue model

The bigger opportunity is not simply better lead scoring.

It is creating a common behavioral data layer across marketing, sales and revenue operations.

Marketing can see which activity contributes to pipeline.

Sales can see which prospects are showing intent and why.

RevOps can analyse the relationship between engagement, sales activity and opportunity creation.

And instead of buyer behavior sitting anonymously inside web analytics, it becomes part of the operational data used to decide what happens next.

The objective is simple: make buyer intent actionable

Financial services firms already generate huge volumes of data about how prospects and customers interact with them.

The challenge is turning that data into a useful decision.

When behavioral intent is connected to the CRM, teams can identify growing interest earlier, prioritize the right prospects, personalise conversations and understand how digital engagement contributes to pipeline.

Ascensus shows what this can look like when buyer-intent data becomes part of the existing sales workflow rather than another standalone system.