Lead Enrichment Automation
Your SDRs spend hours every day researching leads manually. They toggle between LinkedIn, company websites, and your CRM, copying and pasting data that's often outdated by the time they use it. Meanwhile, your enrichment provider only fills 40% of records, and the gaps slow everything down.
Sound Familiar?
Your SDRs spend hours every day researching leads manually. They toggle between LinkedIn, company websites, and your CRM, copying and pasting data that's often outdated by the time they use it. Meanwhile, your enrichment provider only fills 40% of records, and the gaps slow everything down.
How We Solve It
We build automated enrichment pipelines that pull data from multiple sources in a waterfall pattern. When your primary provider misses, the system automatically queries secondary and tertiary sources. The pipeline validates, normalises, and deduplicates data before pushing enriched records to your CRM in real-time. Your SDRs see complete profiles without lifting a finger.
What You Get
- Reduce SDR Research Time80% reduction in research time
Automated enrichment eliminates manual lookups. SDRs focus on conversations, not copy-paste work.
- Higher Enrichment Rates90%+ enrichment rates
Waterfall logic queries multiple providers until data is found. No single provider limits your coverage.
- Personalised Outreach at Scale2-3x reply rates on outbound
Rich data enables dynamic personalisation in sequences. Every email feels tailored, even when sent to thousands.
- Accurate Lead Scoring30% improvement in SQL conversion
Complete data means your scoring models actually work. Prioritise the right leads, not the ones with the most fields filled.
How We Make It Happen
Our proven process for delivering results.
Audit current data sources
We map your existing enrichment providers, CRM fields, and data gaps to understand where the pipeline should focus.
Design waterfall logic
We determine the optimal provider order based on cost, coverage, and data freshness for your ICP.
Build validation and matching
We implement fuzzy matching, deduplication rules, and data quality checks to prevent garbage-in-garbage-out.
Deploy with monitoring
We launch the pipeline with dashboards showing match rates, provider performance, and enrichment quality over time.
Common Questions
Ready to Solve This Problem?
Book a call to discuss your specific situation. We'll assess fit and provide a clear proposal.