Right audience, right place, right time. This is what it’s all about when it comes to successful site selection, marketing campaigns, logistics, and more. You need to get relevant services in front of the right customers, exactly when they need them.
But that’s easier said than done, as customers are constantly on the move. Traditional demographic insights, while essential for understanding key interests, don’t provide insight into dynamic population patterns. Conversely, data that reveals movement patterns lacks demographic details. Without harnessing both kinds of data together, it’s going to be challenging to achieve your most crucial objectives.
Success hinges on your ability to answer key questions:
- Where do the populations relevant to my business go?
- How busy are the areas they visit?
- How long do they stay?
- How do those patterns shift across time and demographic groups?
In other words, you need insights that unlock true location intelligence about your audience. And that’s exactly what you’ll find with our new product, Dynamic Neighborhoods.
This dataset combines rich demographic insights with visitation insights. With a view of real-world patterns, you gain a deep understanding of how populations move through neighborhoods and interact with locations over time – so you can make more confident, informed decisions.
The Challenge: Static Data, Complex Processing, Difficulty Joining Datasets
Let’s take a closer look at why a solution like Dynamic Neighborhoods is a game-changer.
For decades, organizations have relied on static demographic insights to make decisions about site selection, marketing, and customer engagement. But this approach misses a critical piece of the puzzle: population patterns shift throughout the day.
Visitation data covers this gap, but it’s notoriously difficult to work with. Massive files, complex processing, and privacy concerns make it difficult to distill into usable insights, often requiring significant data science expertise and resources.
Manually combining these disparate datasets into one, analysis-ready view is also a major undertaking in and of itself—error-prone and fraught with complexity.
Whether it’s a retailer deciding where to open a new store, a telco planning network expansion, or a financial institution optimizing ATM placement, organizations need dynamic population movement insights that can deliver timely, privacy-centric, trusted insights out of the box.
And, in the face of complex and evolving regulations like GDPR and CCPA, it’s also critical that those insights be privacy compliant. You can’t afford to risk privacy, exposure, or legal complications – which can damage not only your bottom line, but your brand and the trust of your customers.
The Solution: Dynamic Data for Consumers on the Move
Dynamic Neighborhoods solves these challenges by combining visitation data with demographic insights in one analysis-ready solution. It reveals how busy neighborhoods are, how populations flow through them, and how these dynamics shift across different demographic cohorts and over time.
Instead of relying on assumptions or outdated data, you can make decisions based on the real-world behaviors of your key audiences and how neighborhoods come to life. This transforms how businesses can view the world around them. At a glance:
- Understand how busy neighborhoods are across different times and demographic profiles (broken down by age, gender, income, occupation, and spending habits)
- Gain insight into how long different demographic groups dwell in specific areas
- Identify which locations matter most to key audiences
- Pinpoint where populations come from and where they go
Dynamic Neighborhoods is aggregated to U.S. Census block groups to help preserve privacy, and only uses, aggregated datasets.
The dataset is plug-and-play – so it’s ready (and easy) to use. It contains pre-calculated metrics to streamline analysis, it’s available via API, flat file, or dashboard subscription, and it’s pre-linked with the PreciselyID for seamless integration with other datasets. This means faster time to value and less strain on your internal resources.
“Dynamic Neighborhoods enables our customers to improve decision-making with a complete view of real-world patterns. This helps businesses position the right products and services in the right places at the right times – improving engagement, satisfaction, and profitability.” – – Dan Adams, EVP and GM of Data Enrichment, Precisely
What Can You Achieve with Dynamic Data? 5 Top Use Cases
Dynamic visitation insights turn movement patterns and demographic insights into actionable intelligence. By understanding population patterns, you can make smarter decisions across your most important objectives.
Here are five key use cases for inspiration.
- Site selection
Retailers can find ideal locations with insight into popular locations, which demographic cohorts frequent them most, and other valuable insights.
- Insurance
Insurers gain a clearer picture of risk by analyzing how popular a location is and insight into movement patterns. This enables more accurate policy pricing and risk modeling.
- Network planning
Telcos can plan network expansions with confidence, knowing where populations spend time. Public sector agencies can better allocate resources and plan infrastructure based on constituent movement patterns.
- Location-based advertising & marketing
Marketers can enhance out-of-home advertising by targeting locations with high dwell time among desired demographics. They can also identify catchment areas and optimize campaign reach.
- Logistics & delivery
Delivery services can allocate resources more efficiently by understanding where and when consumers are most likely to be present.
Filling in the Gaps for Financial Services
At Precisely, we frequently hear from organizations across industries about their desire for more dynamic and meaningful insights. One of the most compelling examples comes from the financial services sector. A bank recently approached our team with a simple but powerful question: “Do you have any insights on the lifestyle preferences of our customers that could help us increase the convenience of our services and elevate customer experiences?”
Banks and other financial institutions often lack insight into the interests and preferences of their customers. This missing piece is crucial for decisions like ATM placement, branch location, and outdoor advertising.
We’re thrilled that Dynamic Neighborhoods fills that gap. By combining aggregated demographic insights with visitation patterns, financial institutions can identify high-value locations for services and outreach – fast.
Turn Real-World Movement into Business Momentum
Ready to move beyond static snapshots and embrace the dynamic lifestyle preferences of your customers?
With Dynamic Neighborhoods, you’ll be able to gain a clear, actionable picture of how busy neighborhoods are and how distinct populations flow through them to make smarter, faster, and more confident decisions that drive better outcomes:
- Increase revenue and accelerate growth by placing the right products in the right places
- Save time and money with analysis-ready data that helps eliminate trial and error
- Improve customer experiences by meeting people where they are
- Enhance market analysis with deep insights into neighborhood dynamics
Timing, location, and audience understanding are everything. Dynamic Neighborhoods delivers the insights that matter most, without compromising privacy, usability, or speed.
It’s time to turn population insights into business momentum. Learn more about Dynamic Neighborhoods in our Data Guide.
