From your ICP
to a CRM-ready opportunity.
The lead-generation engine is designed around progressive enrichment: use inexpensive structured data to screen widely, spend richer data and AI only on stronger candidates, then discover contacts for the companies that matter.
ICP setup
Define industries, geography, size, exclusions, target roles and examples.
Market scan
Build a broad candidate universe from approved data sources.
Filter
Remove obvious non-matches before expensive enrichment.
Score
Enrich stronger businesses and score them against the ICP.
Research
Hunter looks for fit, signals, contacts and a useful commercial angle.
Deliver
Accepted prospects and contacts enter the commercial workflow.
Every company has a state and a reason for moving forward.
This makes the engine measurable and gives Tandem the feedback required to improve future recommendations.
Tandem should learn from what your team actually wins.
Acceptance, response, meeting, opportunity and revenue outcomes feed back into the recommendation model. Over time, the engine moves from businesses that match your stated ICP towards businesses that resemble the customers you actually win.
The metric that matters
Do not maximise the number of leads Tandem supplies. Maximise the percentage of recommendations the customer genuinely wants to pursue.