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Ad strategies and spend are out of control

Digital marketers and data providers are ill-equipped to use transactional data to inform and guide ad buys and placements
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Personalization Limitations
The landscape of digital marketing and advertising is fast-paced and constantly evolving. Most businesses are using the same anonymized and stripped down customer insights as their competitors that deliver sub par results. The inability to use high quality first and zero party customer data and custom technology remains a roadblock for growth in revenue and profits.
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Customer Insights
Customer data can provide valuable insights into customer behavior, preferences, and demographics. Without it, marketers struggle to understand their audience deeply, making it harder to develop effective ad strategies.
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Targeting Accuracy
Lack of PII, particularly customer billing and payment data hampers the ability to precisely target ads and promotions. Marketers rely on the same broad segments and sometimes location data as their competitors which can lead to inefficient ad spend and lower return on investment (ROI).
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Measurement & Analytics
Accurate measurement of campaign performance and customer journey mapping often require PII. Marketers may struggle with incomplete data, leading to less effective analysis and decision-making.
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Regulatory Compliance
While leveraging PII comes with its own set of regulatory challenges, not having PII can also complicate compliance with laws that require certain levels of personalization and customer data handling, like the GDPR and CCPA. This can lead to legal uncertainties and potential fines.
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Attribution Challenges
Identifying which marketing efforts lead to conversions is more difficult without PII. This makes it challenging to optimize campaigns and allocate budgets effectively.

Digital marketing and advertising teams are limited by data silos and fragmentation

90%
Inefficient and lackluster media buys
due to poor and generic data
61%
Challenged with lack of quality customer data to optimize media spend
68%
Struggle with omni-channel marketing automation due to limited customer data
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SOLUTIONS

DataBillity AI

Databillity’s network of retail data enables multiple uses to increase marketers’ ability to identify their most valuable audiences based on real transaction level data. One-to-one consumer transactions allow for precise targeting, more accurate modeling and deeper analysis of consumer behavior.

Multi-use options are available for marketers to enhance their current data offerings especially regarding data distribution, analytics, personification and measurement.

Billing-based data enrichment

Simply connect your ERP, CRM, CDP, e-commerce and payment platforms to DataBillity to deliver the deepest and most actionable insights based on your customer billing and payment data. Our AI/ML platform and algorithms can also pull in our third party data sets to create another level of customer insights.

This customer billing and payment data offer SKU level insights to create the richest, most unified view of the customer in order to provide businesses with the most optimized and targeted media buys and ad placements.

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Enhanced Customer Profiles

ERP and CRM systems store detailed information about customers' purchase histories, payment behaviors, and interactions with a company. By enhancing this information with billing and payment data, companies can enrich customer profiles with financial interactions, payment preferences, and buying patterns. This leads to a more comprehensive understanding of customer behavior and preferences.

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Improved Personalization and Targeting
SKU level data from ERPs and CRMs allows companies to understand the specific products or services a customer has purchased. Using actual transactional data, businesses can tailor their marketing messages and offers more effectively, speaking to  customers about  products they are most likely to purchase based on their past behavior.
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Fraud Detection and Risk Management
By analyzing payment patterns and transaction data, companies can identify unusual behaviors that may indicate fraudulent activity. Leveraging  this data enables businesses to implement more effective risk management and fraud prevention strategies, protecting both the company and its customers.
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Enhanced Data Accuracy and Completeness
Integrating billing and payment data helps validate and enhance the accuracy of customer profiles. Payment data, often considered as a source of truth for customer transactions, can be used to confirm the identity and transaction history of customers, reducing the likelihood of duplicate or incomplete profiles.
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Cross-Platform Customer Journey Mapping
The integration of data from multiple platforms into a single repository allows businesses to map customer journeys across different touchpoints and platforms. This cross-platform view provides insights into how customers move from awareness to purchase and post-purchase phases, enabling companies to optimize their customer journey and improve conversion rates.
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Better Segmentation
With access to detailed transaction and payment data, companies can segment their customers more effectively according to their value, buying habits, and payment reliability. This segmentation can drive more targeted and strategic marketing, sales, and customer service initiatives, improving customer experiences and loyalty.

Targeting & segment distribution

DataBillity’s transactional data may be used to enhance existing personas or data segments for distribution across the digital ad ecosystem.  Integrating billing and payment data will increase the accuracy and relevancy of your current segments or enable new, bespoke personas to be created.

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Measurement & analytics

Given the high quality and accuracy of Databillity data (at the SKU, product or individual consumer level) partners may use our data for seed sets to enhance current campaign measurement and analytics models, allowing for better truth sets and baseline analysis.

Data Personification

With the departure of cookies and decrease in mobile ad IDs, DataBillity can incorporate the billions of transactions we collect into your CRM/CDP to give you an accurate picture of your customer allowing you to speak to them in an individual, personalized way. For existing ‘walled garden’ infrastructures, Databillity allows marketers to include transaction data, building a larger, holistic view of their customers.

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Dedicated Clean Room

SKU level data from ERPs and CRMs allows companies to understand the specific products or services a customer has purchased. Using actual transactional data, businesses can tailor their marketing messages and offers more effectively, speaking to  customers about  products they are most likely to purchase based on their past behavior.

The “Network Effect”

Imagine a platform that supports an ecosystem of complementary businesses who can gain unimaginable insights through  shared customers and prospects. The DataBillity network offers deep insights and increases customer understanding by activating the "network effect". Leveraging Databillity’s ecosystem allows the amplification of each new user or data point, enhancing  the value of the network for all users exponentially.

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Data spine augmentation

Billing, payment, and other SKU (Stock Keeping Unit) level data from ERP (Enterprise Resource Planning) systems, CRMs (Customer Relationship Management), and payment platforms play a crucial role in the development and innovation of an enterprise's data spine. These data sources collectively provide a comprehensive view of the company's operational performance, customer interactions, and financial health. By leveraging DataBillity, your business can integrate this information into a unified data spine, and achieve several key outcomes:

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Enhanced Decision-Making
The aggregation and analysis of financial data enable decision-makers to gain insights into sales trends, payment cycles, and customer buying behavior. This comprehensive view supports better strategic planning and resource allocation.
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Financial Management
Access to real-time billing and payment data allows for more accurate financial forecasting, budgeting, and risk management. Enterprises can better manage their cash flow, reduce financial risks, and make informed investment decisions.
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Improved Customer Experience
SKU level data, combined with customer information from CRMs, helps in understanding customer preferences and buying patterns. Enterprises can tailor their offerings and communication strategies to better meet customer needs, enhancing satisfaction and loyalty.
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Compliance and Reporting
Integrating and analyzing data from ERP, CRMs, and payment platforms ensure that enterprises can maintain accurate records for compliance purposes. It also simplifies the process of generating reports for internal and external stakeholders, providing transparency and building trust.
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Operational Efficiency
By analyzing billing and payment data, enterprises can identify bottlenecks in their payment processes and areas where operational efficiency can be improved. This leads to faster payment cycles, reduced errors, and cost savings.
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Innovation and Product Development
The insights gained from analyzing detailed SKU level data can inform product development and innovation strategies. Enterprises can identify emerging trends, adapt their product offerings, and enter new markets with confidence.

The potential of your data is endless—use it to power your brand, grow revenue and boost customer loyalty.