In today’s digital age, instant gratification isn’t just desired—it’s expected. Technology ‘s rapid pace has cultivated a culture of impatience, with consumers demanding personalized experiences at their fingertips. Yet, despite this clear shift, Gartner reports 63 percent of digital marketing leaders still grapple with personalization.¹
The solution? Leveraging behavioral data!
What Is Behavioral Data?
Behavioral data refers to information about what your candidates and clients do across various channels—like website clicks, application usage, email interactions, and even office visits. This data, collected and owned by your business, is known as first-party data. It’s important because it offers direct insights into your audience’s behavior and helps you accurately understand their preferences.
Behavioral data is more than just seeing what people do; it helps you understand why they do it.
This data type helps your organization improve its services and marketing strategies by understanding what it wants and delivering what it needs.
Sources of Behavioral Data
Behavioral data reveals the actions your audience takes in both online and offline settings, and it removes any guesswork about their intentions. This data can come from both online and offline sources.
Mastering Marketing Strategies with Behavioral Information
Organizations that use behavioral data analytics experience 85 percent more sales growth and over a 25 percent increase in gross margin.² This shows how this data can vastly improve your company’s performance and how you can use this information for better marketing.
Read More: How to Build a Data-driven Marketing Team for Your Staffing Agency
Here are more reasons why using behavioral data can make your marketing strategies even better:
1. Identifying the most important groups or segments.
Your candidate and client data allows you to segment your audience and identify the most important groups for your staffing firm. This segmentation is important for customizing your marketing efforts and making sure your strategies connect with the right people.
Pro Tip: Create 3-5 distinct persona profiles using your CRM data. Customize job recommendations and outreach for each.
For example, identifying candidates with specific skill sets in high demand can help you focus your recruitment efforts and training programs to meet client needs. On the other hand, recognizing clients who frequently request temporary workers allows you to develop targeted marketing strategies and special offers to better serve them and increase engagement.
2. Personalize your approach.
Data shows that 61 percent of people expect brands to tailor experiences based on their preferences.³ This shows how data is a powerful tool for driving customer-centric strategies that adapt to changing market demands and expectations.
Customer data helps staffing firms create personalized experiences by understanding individual candidate behaviors, preferences, and job-seeking patterns. Analyzing how candidates interact with job listings, engage with career advice content, and apply for positions, helps you understand what each candidate values in their career.
Pro Tip: Track candidate interaction patterns (e.g., preferred communication channels, content engagement) and adjust your outreach accordingly.
For example, data may reveal if candidates prefer to receive job notifications via email, text messages, or through a mobile app. This allows staffing firms to personalize their communication channels so that candidates receive updates in their preferred format and improve engagement throughout the job placement process.
Read More: Building Blocks of Marketing Success: What The LEGO Movie Teaches Us
3. Optimized marketing campaigns.
Analyzing behavioral data gives you a clear understanding of how effective your marketing campaigns are. Seeing which strategies work best with candidates and clients allows you to continually improve your marketing efforts to achieve better results.
If the data shows that job postings with certain keywords get more clicks, you can use those keywords in your job descriptions to attract more candidates.
Similarly, tracking email open rates and click-through rates could highlight which types of content and subject lines are most engaging. This means you can create more of what works and less of what doesn’t. If certain social media posts generate more applications, you can focus on similar content to drive more traffic and interest. Behavioral data also helps identify underperforming areas.
Pro Tip: A/B test email subject lines and job post titles. Use the winners to guide future content creation. If a marketing channel isn’t delivering results, you might adjust your content strategy to prioritize more engaging job posts or reallocate your advertising budget to platforms that have historically brought in more qualified candidates.
That ongoing behavior analysis and adaptation based on data helps ensure that your marketing strategies are always effective, which leads to better resource allocation and higher engagement rates.
Read More: Data Gold Rush: How to Strike Content Riches with Quality Data and AI
4. Enhanced user experience.
Understanding user behavior helps you improve how candidates browse job listings, interact with your content, and apply for positions. It will also help you identify and fix issues in the candidate experience, such as complicated application processes or unclear job descriptions.
Pro Tip: Analyze where users drop off in the application process. Streamline these pain points to boost completion rates. Similarly, analyze client interactions to enhance any service delivery and address any challenge they face.
If data analysis shows that candidates frequently abandon applications at a certain stage, streamline that process to reduce friction and increase completion rates. Identify which job postings receive the most engagement to prioritize and optimize listings for better alignment with candidate preferences.
For clients, understanding their interactions enables you to tailor your services to better meet their needs and improve satisfaction.
5. Competitive advantage.
Using data can give you a competitive edge by providing deeper insights into candidate behaviors and preferences compared to competitors. In this way, you can create better, more unique marketing strategies that match what candidates are looking for.
Pro Tip: Monitor trending skills or job types in your data. Develop targeted campaigns around these emerging opportunities.
Behavioral data helps anticipate candidate needs and enables proactive engagement strategies. If data shows a growing interest in flexible work arrangements, such as remote work opportunities, you can take specific actions to adjust your approach.
Start by prioritizing job listings that explicitly mention remote work options or offer flexible schedules. Promote these opportunities prominently on your social media channels and website. You can also proactively reach out to candidates in your database who have previously shown interest in remote work or flexible arrangements through email campaigns or targeted advertisements.
Read More: 2.7 Million Opportunities: Maximizing Staffing Success Through Data
TAKE THE LEAP TOWARDS A SMARTER MARKETING APPROACH WITH ALLIED INSIGHT
Your audience is sending you signals. Are you listening? Allied Insight can help you uncover trends and preferences you never knew existed. We can guide you in targeting the right audience with the right message and making data-driven decisions for sustainable marketing growth.
Unleash the power of behavioral data to drive smarter marketing decisions. Contact us today to learn more!
References
- “Gartner Says 63% of Digital Marketing Leaders Still Struggle with Personalization, yet Only 17% Use AI and Machine Learning across the Function.” Gartner, www.gartner.com/en/newsroom/press-releases/-gartner-says-63–of-digital-marketing-leaders-still-struggle-wi.
- “Capturing Value from Your Customer Data, McKinsey.” www.mckinsey.com, www.mckinsey.com/capabilities/quantumblack/our-insights/capturing-value-from-your-customer-data.
- “Personalized Shopping Spending Statistics.” Think with Google, 2023, www.thinkwithgoogle.com/future-of-marketing/creativity/marketing-personalization-statistics/.
