---
title: The Most Reliable Signal for Franchisees That Want to Know What Consumers Will Buy
description: Discover how purchase data helps franchisees understand consumer behavior, improve audience targeting and make every marketing dollar work harder.
image: https://blog.b2edata.com/hubfs/B2E%20Shopper%20Insights%20in%20a%20modern%20boutique.png
---

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- [B2E Data Blog](https://blog.b2edata.com/)

# B2E Data Blog

## [The Most Reliable Signal for Franchisees That Want to Know What Consumers Will Buy](https://blog.b2edata.com/the-most-reliable-signal-for-franchisees-that-want-to-know-what-consumers-will-buy)

 Sep 13, 2026, 3:29:43 PM / by [Greg Sheridan](https://blog.b2edata.com/author/greg-sheridan)

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What do age, income, and geography tell franchised businesses about consumer buying behaviors? They are long-held staples of audience targeting strategies — and don’t get us wrong, they hold valuable information — but this information alone often falls short of indicating what a consumer will actually do.

For franchisees, and the [marketing agencies](https://www.b2edata.com/for-agencies-agencyadsync) that support them, every marketing dollar needs to work harder. Reaching the right audience with the right message is the difference between a campaign that drives revenue and one that falls flat.

When it comes to anticipating how consumers will respond, it’s been said that the best predictor of future behavior is the past. That’s why [purchase data](https://www.b2edata.com/national-consumer-data) is particularly valuable.

Real-world transactions speak undeniably about what consumers buy, how often, and where they spend their money. It’s one of the most reliable signals available, and in a fluid digital world, perhaps one of the only pieces of hard proof for potential buying behaviors.

![B2E Shopper Insights in a modern boutique](https://blog.b2edata.com/hs-fs/hubfs/B2E%20Shopper%20Insights%20in%20a%20modern%20boutique.png?width=1536&height=1024&name=B2E%20Shopper%20Insights%20in%20a%20modern%20boutique.png)

**A Strong Foundation for Audience Targeting**

The gap between [consumer buying intent](https://blog.b2edata.com/separating-real-buyers-from-the-browsers) and action is a longstanding challenge. A customer might browse products, read content, or even add an item to an online cart—but never complete the purchase.

Purchase data can help eliminate some of this ambiguity. Transaction histories demonstrate which categories consumers actually spend on and the types of brands or price points they prefer. These behavioral patterns are very revealing.

Spending habits are individual and not necessarily driven by demographics, age, or zip code. One household might prioritize spending on health and wellness, while another values entertainment. Without purchase insights, key differences between two households with very similar demographic characteristics will be invisible. This is how purchase data brings a clearer view into focus.

Instead of casting a wide net based on general characteristics, franchisees and their [marketing agencies](https://www.b2edata.com/for-agencies-agencyadsync) can focus on consumers whose transaction histories show alignment with their products or services. Marketing campaigns directed toward these audiences automatically have higher likelihood of generating more bottom-line results.

**Aligning the Message with Real Consumer Behavior**

Purchase data intelligence does more than just improve targeting. It also can inform messaging and creative strategies.

With a greater understanding of consumer spending habits, valuable insights into price sensitivity, [brand loyalty](https://blog.b2edata.com/brand-loyalty-is-it-dead) and purchase frequency come into view. Consumers who consistently purchase premium brands may respond better to messaging focused on quality, exclusivity or performance. Meanwhile, value-oriented shoppers may be more receptive to promotions highlighting savings or special offers.

Syncing the message to real spending patterns creates marketing campaigns that feel more authentic for targeted consumers.

**Reducing Marketing Waste**

One of the most practical benefits of purchase data is how it improves the efficiency of every marketing dollar spent. Budgets remain under pressure across many industries, and franchisees need to demonstrate measurable results from the time and resources they invest.

Purchase data allows franchisees and marketing agencies to prioritize the [most high-value consumer segments](https://blog.b2edata.com/heres-your-perfect-customer) and reduce wasted impressions on audiences unlikely to convert. It can also help identify opportunities for customer acquisition within a local service area where the demand signals are strongest.

Instead of relying on broad targeting strategies, franchisees can focus resources where they are most likely to drive revenue. This level of precision makes a real and measurable difference in campaign outcomes.

**Making Purchase Data Actionable**

While we hope the value of purchase data is becoming clear, its effectiveness ultimately depends on how it’s applied. To maximize its impact, consider several practical steps:

**Integrate purchase data with other consumer insights.** Purchase behavior becomes even more powerful when combined with demographic, lifestyle and geographic data to create richer audience profiles.

**Use it to better segment audiences.** Transaction data can confirm, or even challenge assumptions about how [different segments behave](https://blog.b2edata.com/leveraging-psychographics-for-precision-marketing), which can reveal new opportunities and help with prioritizing outreach to different groups.

**Apply insights to different stages of the customer journey.** Purchase data isn’t just helpful for targeting potential new customers. It can be used to more effectively cross-sell to existing customers, and to develop strategies for re-engagement and retention.

**Maintain the pulse of your target audiences.** Consumer spending patterns evolve quickly, particularly during periods of economic change. Up-to-date purchase data and regular analysis helps ensure marketing strategies reflect current behaviors.

**A Clearer View of the Consumer**

Purchase data provides clarity. With it, franchisees and their marketing agencies can stop relying on assumptions, and use the reality of how consumers spend their money to become more successful in their marketing.

For franchisees looking to grow their local customer base and maximize marketing ROI, understanding what consumers buy may be one of the most powerful insights available. To learn more about how to gain access to this type of data, [reach out to the data scientists at B2E](https://www.b2edata.com/contactus-scheduleafreediscoverymeeting-b2edata) for help!

 

 Tags: [consumer behavior](https://blog.b2edata.com/topic/consumer-behavior), [marketing ROI](https://blog.b2edata.com/topic/marketing-roi), [data driven marketing](https://blog.b2edata.com/topic/data-driven-marketing), [marketing data](https://blog.b2edata.com/topic/marketing-data), [audience targeting](https://blog.b2edata.com/topic/audience-targeting), [Customer Aquisition](https://blog.b2edata.com/topic/customer-aquisition), [consumer data](https://blog.b2edata.com/topic/consumer-data), [purchase data](https://blog.b2edata.com/topic/purchase-data), [franchise marketing](https://blog.b2edata.com/topic/franchise-marketing), [franchisees](https://blog.b2edata.com/topic/franchisees)

![Greg Sheridan](https://blog.b2edata.com/hs-fs/hubfs/B2E%20Headshot%20-%20Greg%20Sheridan.jpg?width=100&height=100&name=B2E%20Headshot%20-%20Greg%20Sheridan.jpg)

#### Written by [Greg Sheridan](https://blog.b2edata.com/author/greg-sheridan)

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- [customer experience (3)](https://blog.b2edata.com/tag/customer-experience)
- [customer profile (3)](https://blog.b2edata.com/tag/customer-profile)
- [data privacy (3)](https://blog.b2edata.com/tag/data-privacy)
- [dirty data (3)](https://blog.b2edata.com/tag/dirty-data)
- [experian data (3)](https://blog.b2edata.com/tag/experian-data)
- [first party data (3)](https://blog.b2edata.com/tag/first-party-data)
- [geomarketing (3)](https://blog.b2edata.com/tag/geomarketing)
- [lead generation form (3)](https://blog.b2edata.com/tag/lead-generation-form)
- [marketing analytics (3)](https://blog.b2edata.com/tag/marketing-analytics)
- [marketing intelligence (3)](https://blog.b2edata.com/tag/marketing-intelligence)
- [motus audiences connect (3)](https://blog.b2edata.com/tag/motus-audiences-connect)
- [predictive lead scoring (3)](https://blog.b2edata.com/tag/predictive-lead-scoring)
- [soc 2 compliant (3)](https://blog.b2edata.com/tag/soc-2-compliant)
- [B2E Data (2)](https://blog.b2edata.com/tag/b2e-data)
- [CRM Data Management (2)](https://blog.b2edata.com/tag/crm-data-management)
- [Consumer Behavior Analysis (2)](https://blog.b2edata.com/tag/consumer-behavior-analysis)
- [Customer Aquisition (2)](https://blog.b2edata.com/tag/customer-aquisition)
- [Data Quality (2)](https://blog.b2edata.com/tag/data-quality)
- [Geoframing Technology (2)](https://blog.b2edata.com/tag/geoframing-technology)
- [credit union marketing (2)](https://blog.b2edata.com/tag/credit-union-marketing)
- [customer data enrichment (2)](https://blog.b2edata.com/tag/customer-data-enrichment)
- [data security (2)](https://blog.b2edata.com/tag/data-security)
- [data visualization (2)](https://blog.b2edata.com/tag/data-visualization)
- [data-driven intelligence (2)](https://blog.b2edata.com/tag/data-driven-intelligence)
- [decision making styles (2)](https://blog.b2edata.com/tag/decision-making-styles)
- [digital strategy (2)](https://blog.b2edata.com/tag/digital-strategy)
- [geographic segmentation (2)](https://blog.b2edata.com/tag/geographic-segmentation)
- [hyper-personalization (2)](https://blog.b2edata.com/tag/hyper-personalization)
- [ideal customers (2)](https://blog.b2edata.com/tag/ideal-customers)
- [insurance marketing (2)](https://blog.b2edata.com/tag/insurance-marketing)
- [machine learning (2)](https://blog.b2edata.com/tag/machine-learning)
- [marketing behavior (2)](https://blog.b2edata.com/tag/marketing-behavior)
- [marketing data (2)](https://blog.b2edata.com/tag/marketing-data)
- [marketing data integration (2)](https://blog.b2edata.com/tag/marketing-data-integration)
- [marketing segmentation (2)](https://blog.b2edata.com/tag/marketing-segmentation)
- [member acquisition (2)](https://blog.b2edata.com/tag/member-acquisition)
- [personalization marketing (2)](https://blog.b2edata.com/tag/personalization-marketing)
- [precision marketing (2)](https://blog.b2edata.com/tag/precision-marketing)
- [predictive marketing (2)](https://blog.b2edata.com/tag/predictive-marketing)
- [weather-data (2)](https://blog.b2edata.com/tag/weather-data)
- [weather-triggered-marketing (2)](https://blog.b2edata.com/tag/weather-triggered-marketing)
- [2025 Marketing Trends (1)](https://blog.b2edata.com/tag/2025-marketing-trends)
- [AI (1)](https://blog.b2edata.com/tag/ai)
- [AI in marketing (1)](https://blog.b2edata.com/tag/ai-in-marketing)
- [Advanced Data Analytics (1)](https://blog.b2edata.com/tag/advanced-data-analytics)
- [B2E Case Study (1)](https://blog.b2edata.com/tag/b2e-case-study)
- [B2E Insights (1)](https://blog.b2edata.com/tag/b2e-insights)
- [CCPA (1)](https://blog.b2edata.com/tag/ccpa)
- [CRM Strategy (1)](https://blog.b2edata.com/tag/crm-strategy)
- [CTV advertising (1)](https://blog.b2edata.com/tag/ctv-advertising)
- [Calls To Action (1)](https://blog.b2edata.com/tag/calls-to-action)
- [Campaign Optimization (1)](https://blog.b2edata.com/tag/campaign-optimization)
- [Cluster IP Targeting (1)](https://blog.b2edata.com/tag/cluster-ip-targeting)
- [Conversions (1)](https://blog.b2edata.com/tag/conversions)
- [Data Strategy (1)](https://blog.b2edata.com/tag/data-strategy)
- [Email marketing (1)](https://blog.b2edata.com/tag/email-marketing)
- [GDPR Compliance (1)](https://blog.b2edata.com/tag/gdpr-compliance)
- [Generative AI (1)](https://blog.b2edata.com/tag/generative-ai)
- [Google Privacy Sandbox (1)](https://blog.b2edata.com/tag/google-privacy-sandbox)
- [Google Topics (1)](https://blog.b2edata.com/tag/google-topics)
- [Identity Graphing (1)](https://blog.b2edata.com/tag/identity-graphing)
- [Impressions (1)](https://blog.b2edata.com/tag/impressions)
- [MAIDs (1)](https://blog.b2edata.com/tag/maids)
- [Marketing Operations (1)](https://blog.b2edata.com/tag/marketing-operations)
- [Marketing Trends 2025 (1)](https://blog.b2edata.com/tag/marketing-trends-2025)
- [MotusIP (1)](https://blog.b2edata.com/tag/motusip)
- [MotusMobile (1)](https://blog.b2edata.com/tag/motusmobile)
- [OTT advertising (1)](https://blog.b2edata.com/tag/ott-advertising)
- [Privacy-First Marketing (1)](https://blog.b2edata.com/tag/privacy-first-marketing)
- [Reach (1)](https://blog.b2edata.com/tag/reach)
- [Smart Marketing Strategy (1)](https://blog.b2edata.com/tag/smart-marketing-strategy)
- [Third-party cookies (1)](https://blog.b2edata.com/tag/third-party-cookies)
- [addressable TV (1)](https://blog.b2edata.com/tag/addressable-tv)
- [advertising metrics (1)](https://blog.b2edata.com/tag/advertising-metrics)
- [ai marketing (1)](https://blog.b2edata.com/tag/ai-marketing)
- [audience channel preferences (1)](https://blog.b2edata.com/tag/audience-channel-preferences)
- [audience development (1)](https://blog.b2edata.com/tag/audience-development)
- [audience insights (1)](https://blog.b2edata.com/tag/audience-insights)
- [b2b marketing (1)](https://blog.b2edata.com/tag/b2b-marketing)
- [competitor research (1)](https://blog.b2edata.com/tag/competitor-research)
- [connected TV advertising (1)](https://blog.b2edata.com/tag/connected-tv-advertising)
- [consumer data (1)](https://blog.b2edata.com/tag/consumer-data)
- [consumer intent data (1)](https://blog.b2edata.com/tag/consumer-intent-data)
- [consumer patterns (1)](https://blog.b2edata.com/tag/consumer-patterns)
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- [customer data strategy (1)](https://blog.b2edata.com/tag/customer-data-strategy)
- [customer engagement (1)](https://blog.b2edata.com/tag/customer-engagement)
- [customer intent data (1)](https://blog.b2edata.com/tag/customer-intent-data)
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- [customer segmentation (1)](https://blog.b2edata.com/tag/customer-segmentation)
- [customer service (1)](https://blog.b2edata.com/tag/customer-service)
- [customization (1)](https://blog.b2edata.com/tag/customization)
- [data accuracy (1)](https://blog.b2edata.com/tag/data-accuracy)
- [data activation (1)](https://blog.b2edata.com/tag/data-activation)
- [data hygiene in marketing (1)](https://blog.b2edata.com/tag/data-hygiene-in-marketing)
- [data marketing strategy (1)](https://blog.b2edata.com/tag/data-marketing-strategy)
- [data preparation (1)](https://blog.b2edata.com/tag/data-preparation)
- [data protection (1)](https://blog.b2edata.com/tag/data-protection)
- [data segmentation (1)](https://blog.b2edata.com/tag/data-segmentation)
- [digital campaigns (1)](https://blog.b2edata.com/tag/digital-campaigns)
- [digital marketing best practices (1)](https://blog.b2edata.com/tag/digital-marketing-best-practices)
- [direct mail marketing (1)](https://blog.b2edata.com/tag/direct-mail-marketing)
- [email personalization (1)](https://blog.b2edata.com/tag/email-personalization)
- [email segmentation (1)](https://blog.b2edata.com/tag/email-segmentation)
- [event marketing (1)](https://blog.b2edata.com/tag/event-marketing)
- [experian marketing data (1)](https://blog.b2edata.com/tag/experian-marketing-data)
- [financial services marketing (1)](https://blog.b2edata.com/tag/financial-services-marketing)
- [first party cookies (1)](https://blog.b2edata.com/tag/first-party-cookies)
- [geoconquesting (1)](https://blog.b2edata.com/tag/geoconquesting)
- [google search data (1)](https://blog.b2edata.com/tag/google-search-data)
- [google trends (1)](https://blog.b2edata.com/tag/google-trends)
- [healthcare marketing (1)](https://blog.b2edata.com/tag/healthcare-marketing)
- [homebuilder marketing (1)](https://blog.b2edata.com/tag/homebuilder-marketing)
- [insurance analytics (1)](https://blog.b2edata.com/tag/insurance-analytics)
- [insurance audience targeting (1)](https://blog.b2edata.com/tag/insurance-audience-targeting)
- [insurance customer journey (1)](https://blog.b2edata.com/tag/insurance-customer-journey)
- [insurance data (1)](https://blog.b2edata.com/tag/insurance-data)
- [insurance lead generation (1)](https://blog.b2edata.com/tag/insurance-lead-generation)
- [insurance personalization (1)](https://blog.b2edata.com/tag/insurance-personalization)
- [intent signals (1)](https://blog.b2edata.com/tag/intent-signals)
- [interactivity (1)](https://blog.b2edata.com/tag/interactivity)
- [lead (1)](https://blog.b2edata.com/tag/lead)
- [life event marketing (1)](https://blog.b2edata.com/tag/life-event-marketing)
- [life-stage marketing (1)](https://blog.b2edata.com/tag/life-stage-marketing)
- [lifestyle segmentation (1)](https://blog.b2edata.com/tag/lifestyle-segmentation)
- [lookalike audience (1)](https://blog.b2edata.com/tag/lookalike-audience)
- [market intelligence (1)](https://blog.b2edata.com/tag/market-intelligence)
- [marketing automation (1)](https://blog.b2edata.com/tag/marketing-automation)
- [marketing case study (1)](https://blog.b2edata.com/tag/marketing-case-study)
- [marketing dashboard (1)](https://blog.b2edata.com/tag/marketing-dashboard)
- [marketing funnel (1)](https://blog.b2edata.com/tag/marketing-funnel)
- [marketing insights (1)](https://blog.b2edata.com/tag/marketing-insights)
- [marketing offer (1)](https://blog.b2edata.com/tag/marketing-offer)
- [marketing sherpa (1)](https://blog.b2edata.com/tag/marketing-sherpa)
- [marketing trends 2024 (1)](https://blog.b2edata.com/tag/marketing-trends-2024)
- [online privacy (1)](https://blog.b2edata.com/tag/online-privacy)
- [personalized forecasting (1)](https://blog.b2edata.com/tag/personalized-forecasting)
- [phygital experience (1)](https://blog.b2edata.com/tag/phygital-experience)
- [product development (1)](https://blog.b2edata.com/tag/product-development)
- [prospect intelligence (1)](https://blog.b2edata.com/tag/prospect-intelligence)
- [psychographics (1)](https://blog.b2edata.com/tag/psychographics)
- [purchase intent (1)](https://blog.b2edata.com/tag/purchase-intent)
- [real-time marketing (1)](https://blog.b2edata.com/tag/real-time-marketing)
- [sentiment analysis (1)](https://blog.b2edata.com/tag/sentiment-analysis)
- [shopping patterns (1)](https://blog.b2edata.com/tag/shopping-patterns)
- [smart targeting (1)](https://blog.b2edata.com/tag/smart-targeting)
- [soci (1)](https://blog.b2edata.com/tag/soci)
- [social media (1)](https://blog.b2edata.com/tag/social-media)
- [targeted ads (1)](https://blog.b2edata.com/tag/targeted-ads)
- [targeted marketing (1)](https://blog.b2edata.com/tag/targeted-marketing)
- [trending topics (1)](https://blog.b2edata.com/tag/trending-topics)
- [visual dashboards (1)](https://blog.b2edata.com/tag/visual-dashboards)
- [weather influence (1)](https://blog.b2edata.com/tag/weather-influence)
- [weather intelligence (1)](https://blog.b2edata.com/tag/weather-intelligence)
- [website conversion strategy (1)](https://blog.b2edata.com/tag/website-conversion-strategy)
- [website tracking (1)](https://blog.b2edata.com/tag/website-tracking)
- [zero-party data (1)](https://blog.b2edata.com/tag/zero-party-data)

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