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Getting Started with HUCKLE: A Guide for Financial Services Teams

Learn how to turn your customer data into actionable audience intelligence — from first upload to first campaign.

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Table of Contents

1. Introduction
2. What You Can Do: Financial Services Use Cases
3. How the Platform Works: A Step-by-Step Workflow
4. Real Results: What Teams Like Yours Have Achieved
5. Your Getting Started Roadmap
6. Next Steps & Resources

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Introduction

Financial services teams are sitting on customer data they aren’t fully using — and the cost shows up in generic outreach, wasted ad spend, and missed opportunities to grow with the right clients. HUCKLE is an AI-powered audience intelligence platform that enriches your existing customer data against 260 million U.S. adult profiles to surface the behavioral, demographic, and lifestyle insights that drive smarter targeting, better campaigns, and measurable ROI. Common challenges HUCKLE helps financial services teams solve:

• Generic outreach and low response rates — mass messaging to broad lists drives up cost per acquisition and underperforms in a relationship-driven industry
• Slow, expensive market research — traditional methods like surveys and focus groups take months and cost $50,000 or more, often producing insights that are already outdated
• Third-party data compliance concerns — HUCKLE is SOC 2-certified and built to meet the privacy and security standards compliance-sensitive industries require
• No clear picture of your best clients — beyond account balances and product holdings, most teams lack visibility into the habits, households, and interests that define their highest-value customers
• Difficulty finding more clients like your best ones — HUCKLE enriches the customer data you already have and uses it to identify new prospects who share the same traits, in minutes not months
• Wasted budget on the wrong audiences — behavioral, demographic, and lifestyle intelligence enables precise targeting across wealth management, lending, insurance, and advisory use cases
• High barrier to data-driven decision making — no data science background required to get actionable results from the platform
• Disconnected tools and fragmented workflows — HUCKLE brings customer intelligence, audience segmentation, and prospect list building into a single platform

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What You Can Do: Financial Services Use Cases

HUCKLE’s audience intelligence capabilities map directly to the decisions financial services teams make every day — from acquisition and retention to product strategy and market expansion. Below are the most common use cases for operational users in the industry.

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Client & Prospect Intelligence

• Client segmentation — Go beyond product holdings and account tiers. Use behavioral, demographic, and lifestyle data to understand which segments of your book are truly most valuable, what they have in common, and how to serve them better.
• Wealth prospect identification — Upload your best current clients, enrich them through Huckle Match, and use Audience Builder to find new high-net-worth prospects across the U.S. who share the same traits — income bands, homeownership, net worth, and more.
• Product-to-client matching — Identify which existing clients are statistically most likely to respond to a specific product offer, whether that’s a HELOC, an annuity, a premium advisory tier, or a new lending product. Target the right people instead of your entire book.
• Insurance cross-sell — Surface clients and prospects who fit high-likelihood profiles for additional coverage needs — new homeowners, growing families, or individuals crossing net worth thresholds.

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Campaign & Channel Strategy

• Direct mail targeting — Build precise mailing lists filtered by income range, estimated home value, net worth, homeownership status, life stage, and geography. Export with a single click.
• Digital ad targeting — Export enriched audience segments directly into Meta, Google, or programmatic ad platforms to ensure your digital campaigns reach the right people, not just the most people.
• Pricing and offer strategy — Use income and wealth data to identify price-sensitive vs. premium segments within your audience, then tailor offers, incentives, and messaging accordingly.
• Event and sponsorship alignment — Use Consumer Passions data to identify the causes, media, and events that matter most to your best clients, and align your brand presence where it will have the most impact.

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Growth & Retention

• Referral program development — Identify what your strongest client advocates have in common — lifestyle traits, household composition, community involvement — and build referral programs designed to attract more people like them.
• Retention risk identification — Analyze behavioral and lifestyle signals across your client base to identify segments that may be more likely to churn, and intervene with targeted engagement before they do.

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Market & Operational Strategy

• Advisor territory planning — Before expanding into a new market or assigning territories, use geographic and demographic data to understand the household makeup, income distribution, and lifestyle profile of the area.
• Branch or office expansion decisions — Evaluate new market opportunities using real consumer data — not assumptions — to determine whether a geography has the concentration of ideal clients to justify investment.
• Competitive market analysis — Compare your existing client base against state, regional, or national benchmarks inside Insights Explorer to understand where you over- and under-index, and what that means for your strategy.
• Recruitment and HR — Identify common traits among your highest-performing advisors or staff to build more data-informed hiring profiles and improve the quality of your recruiting pipeline.

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How the Platform Works

HUCKLE’s three core tools work as a connected workflow, taking you from a raw customer list to a precise, exportable audience ready for activation.

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Your Getting Started Roadmap

You don’t need a data science background or a multi-month implementation to get value from HUCKLE. Most teams reach their first actionable outcome within days of signing up. Here’s a loose roadmap to guide you from setup to activation.

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1. Prepare Your Data

Before logging in, pull together a customer or prospect list you want to analyze. This could be your full client book, a specific product segment, your highest-value accounts, or a lapsed client list — whatever business question you want to answer first. Make sure your list includes at minimum:

• Option A: First Name + Last Name + Email Address
• Option B: First Name + Last Name + Full Address + ZIP Code

The cleaner and more complete your list, the higher your match rate will be. If you have both email and address, include both — it gives the matching algorithm more to work with.

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2. Run Your First Huckle Match

Upload your list using the Import Data button in the top-right corner of the platform. Huckle Match will compare each record against 260 million U.S. adult profiles and append 350+ attributes to every matched record. Once complete, review your match levels. A healthy list will return a strong proportion of Level 1 and Level 2 matches. If you see a high rate of Level 6 (no match), it’s usually a signal that your input data has formatting inconsistencies — names split across fields, outdated addresses, or email addresses that don’t correspond to the individual record.

Tip: Start with your best customers, not your full database. A focused list of 500–1,000 high-value clients will give you sharper insights than a broad list of 50,000 mixed-quality records.

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3. Explore Your Results in Insights Explorer

Navigate to Insights Explorer from the left-hand menu. This is where you’ll spend most of your early time in the platform. Start with the Demographics view and work through both tabs:

• General tab — get a baseline picture of your audience’s age, gender, marital status, homeownership, and education
• Financial tab — understand the income, estimated home value, and net worth distribution of your matched audience

Then move to Persona Clusters for a higher-level view. The treemap will show you which named lifestyle segments dominate your audience — and which are smaller but potentially high-value niches worth targeting separately.

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4. Identify Your Highest-Value Segment

As you work through Insights Explorer, you’re building a point of view on who your best customers really are. Look for patterns:

• Which income or net worth bands are overrepresented compared to the national average?
• Which Persona Clusters make up the largest — or most desirable — share of your audience?
• Are there demographic signals (age range, homeownership, family stage) that consistently show up across your top clients?

Document what you find. These observations become the filters you’ll use in Audience Builder.

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5. Set a Comparison Benchmark

Use the Compare to… button in Insights Explorer to benchmark your audience against a meaningful reference point. For most financial services teams, the most useful comparisons are:

• U.S. National Average — understand how your client base differs from the general population
• A specific state or city — relevant if you’re evaluating a new market or planning a geographically targeted campaign
• Another saved audience — useful for comparing your top clients against a broader prospect list, or one product segment against another

The goal is to identify where your audience over-indexes — those are your strongest signals for targeting and messaging.

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6. Define Your Target Audience Criteria

Before opening Audience Builder, translate what you learned in Insights Explorer into a set of filters. For example:

• “Our best wealth management clients are homeowners, aged 50–64, with estimated net worth above $500K, and a strong interest in travel and investing.”
• “Our highest-converting mortgage leads are married couples, aged 35–44, living in suburban ZIP codes, with household incomes between $100K–$200K.”

The more specific your criteria, the more precise — and actionable — your exported list will be.

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7. Build and Export Your First Audience

Navigate to Audience Builder from the left-hand menu. Select your state, add your filters one by one, and run your search. Review the record count — if it’s too narrow, remove a filter; if it’s too broad, add one. When you’re satisfied with your results:

1. Click Export Records
2. Name your export for easy reference later
3. Set your record count within your plan’s export limit
4. Optionally check Request Email Enrichment if you need email addresses appended

Your export will be available to download from My Audience Exports in the top-right corner.

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8. Activate Your List

Your exported file is ready to use immediately. Common activation paths for financial services teams include:

• CRM upload — import into Salesforce, HubSpot, or your advisory CRM for outreach sequencing
• Paid media — upload as a custom audience into Meta Ads Manager or Google Ads for matched or lookalike targeting
• Direct mail — send to your mail vendor for a targeted physical campaign
• Email campaign — if you requested email enrichment, load directly into your email platform

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9. Iterate and Refine

Your first match and export is a starting point, not a final answer. As campaign results come in, use what you learn to sharpen your next run:

• Did one segment outperform another? Go back to Insights Explorer and dig into what makes them different.
• Did your email open rates vary by Persona Cluster? Adjust your messaging strategy accordingly.
• Did a geographic area underperform? Compare it against your best-performing market in Insights Explorer to find the gaps.

HUCKLE’s database receives 90 million updates per day, so re-running your match periodically keeps your audience data fresh.

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10. Set Up Your Team and Workspaces

If multiple people on your team will be using HUCKLE, take a few minutes to configure access before scaling your usage. The platform supports four roles — and workspaces that let you organize audiences and exports by team, department, or campaign. Visit Organizations & Teams and Roles & Permissions in the HUCKLE docs for setup guidance.

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Next Steps & Resources

Whether you’re evaluating HUCKLE for the first time or ready to run your first match, here’s everything you need to move forward.

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Platform Documentation