For any compelling and healthy data strategy, data ingestion has been the first step to it. Data Ingestion is the step that requires hand-picking and manual stitching of data until the ingestion process is refined enough to be automated.
Why is Data Ingestion integral to CDPs?
CDPs master the art of making complex and intertwined data communication system into an automated and seamless data stream. To deliver seamless input for the data processing, data ingestion remains the foundation of your marketing infrastructure.
Business Value of Data Ingestion
Optimize Campaign Cost
Low lead acquisition cost
Reduce Cart Abandonment
Better Ad Budget Management
High Lifetime Value (LTV)
High Return on Investment (ROI)
How can Data Ingestion be put to use by a Marketer?
Better Ad Budget Management
Customer Identification
Targeted Personalized marketing
Customer journey mapping
Loyalty programs
Campaign management
Customer Data Enrichment
Lead Nurturing
Cross-selling and Upselling
Our CDP’s Data Ingestion Process includes following
- Data Loading (On mouse hover, show content -FirstHive uses APIs to load data or use Comma Separated Value, XML, database tables, etc. FirstHive also applies its own rules and customizes the data loading process to enable seamless categorization and data organization. In either of these cases, data loading can be regulated and automated.
- Different data sources used
Internal Data Sources: website, e-commerce, mobile apps, retail point of sale, sales automation, customer support, order processing, billing, and loyalty programs providing first-party data - External Data Sources: secondary or tertiary data
partner with data generating systems, using a pre-configured integration or use a trusted agent to draw data - Trackings IDs and Tags
- Software Development Kits (SDKs
Webspiders - Federated or external access
- Data Structure (On mouse hover, show content -This includes storing both structured and unstructured data in diverse formats: weblogs, images, videos, audio files achieved with intense metadata creation and management supported by advanced techniques such as artificial intelligence, image recognition, etc
- Schema & Schemaless Ingestion
- Integrated Orchestration
Data Compliance)
- Real-Time Data (On mouse hover, show content – This includes supporting latency, response time, and scalability that arises with the volume of data.)