Lead Generation Systems & Automation | Artenis Alija
Finding and qualifying prospects as a pipeline, not as an afternoon of copy-paste.
I build lead discovery and qualification pipelines: structured business data collected from public sources, deduplicated properly, enriched, scored and delivered into whatever system your team already works in. The emphasis is on data quality and deduplication, because a list full of repeats and dead records costs more in wasted outreach than it saves in research time.
Use Cases
Territory research for a new market
A structured view of who operates in a market, at what size and in which sectors, before committing sales effort to it.
Ongoing prospect discovery
A pipeline that runs on a schedule and adds genuinely new companies rather than re-finding the same ones.
List cleaning and deduplication
Merging and deduplicating existing lists by company identity, so multi-branch businesses appear once.
Qualification before outreach
Scoring and filtering so the sales team contacts a shortlist rather than working through raw output.
Common Questions
Is this legal?
Collecting publicly available business information is generally lawful; what you then do with it is governed by GDPR and by the rules of whatever channel you contact people on. I build for legitimate B2B outreach with consent and opt-out handled, and I will not build systems for scraping personal data or spamming purchased consumer lists.
How do you handle duplicates?
Deduplication keyed on company identity rather than listing identity, so a business with several branches is written once. The behaviour is configurable for the cases where you genuinely want each location.
What if a long run fails partway?
It resumes. Results are written incrementally and completed and blocked jobs are tracked separately, so an interruption does not mean starting over.
What you get
- →Business discovery pipeline against defined criteria
- →Company-level deduplication, not listing-level
- →Enrichment and qualification scoring
- →Delivery into your CRM or as a queryable dataset
- →Incremental, resumable runs with failure tracking
- →Outreach dashboard for review before contact
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