DIGITAL MARKETING

Empowering Marketers with Versatile Data Solutions

Discover

What Digital Marketers Are Facing

Situation

The landscape of digital marketing and advertising is fast-paced and constantly evolving.

Billing/payment data holds critical insights such as customer spending behaviors, purchase histories, and payment preferences.

Challenges

Cutting through noise and competition to capture attention, engage consumers, and drive conversions.

The oversight in harnessing billing/payment data to optimize media buying strategies and enhance customer experiences leads to significant issues.

Many digital marketers fail to effectively leverage billing/payment data.

Problems

Suboptimal Media Buying Decisions
Without integrating billing and payment data into media planning and buying processes, digital marketers miss out on opportunities to target their audiences more accurately. This lack of precision leads to wasted ad spend due to misalignment with their most valuable customers, diminishing the ROI of their campaigns.
Ineffective Customer Targeting and Personalization
The failure to utilize billing and payment data decreases the effectiveness of personalized ad experiences. Broad or generic targeting results in lower engagement rates, decreased conversion rates and a general sense of disconnect between consumers and the brand.
Missed Revenue Opportunities
Billing and payment data  reveals critical insights into customer lifetime value, repeat purchase patterns, and high-value segments. By not leveraging this data, digital marketers and advertisers overlook crucial opportunities for upselling, cross-selling, and retargeting that could significantly boost revenue and profit margins.
Personalization balanced with Privacy
Databillity focuses on ensuring billing and payment data is used in a safe, compliant manner, abiding by data and privacy regulations (such as GDPR and CCPA) with properly utilizing and activating this data requires a careful balance between personalization and privacy - failing  to do so can result in reputational damage and financial penalties.

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

90%
Inefficient research, preparation and analysis
61%
Difficulty in generating quality leads
68%
Struggle with marketing automation
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 behaviour.

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

Customer profiles or personas  rely on integrating diverse data sources to create a unified view of the customer. Billing, payment, and SKU level data from Enterprise Resource Planning (ERP) systems, Customer Relationship Management (CRM) platforms, and payment platforms are critical components of this process.

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.

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.
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.
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.
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.
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.

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.

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.

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:

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.
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.
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.
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.
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.
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.