Go beyond predefined filters
Traditional B2B search platforms limit you to attributes that already exist, such as industry, company size, job title, or location.Landbase Advanced Audience Search lets you define targeting signals that do not exist as predefined filters and compute them across connected B2B datasets.Instead of being limited to existing attributes, you can calculate custom metrics, identify patterns across employment histories, analyze changes over time, and combine information across companies, people, job postings, and uploaded datasets.This enables highly specific audience targeting without writing SQL or building your own data infrastructure.When to use Advanced Audience Search
Use standard search when your criteria can be expressed using existing company or contact attributes, such as industry, location, employee count, job title, or funding stage.Use Advanced Audience Search when your request requires computing new attributes, comparing groups, analyzing historical changes, or combining information across datasets.Rule of thumb: If you are filtering on attributes that already exist, use standard search. If you are asking Landbase to calculate something new from the underlying data, use Advanced Audience Search.
High-value search examples
These are the kinds of searches that Advanced Audience Search is built for:- Find people who were founding sales hires at a previous startup and are now sales managers or directors at B2B SaaS companies in the US or Canada.
- Find companies where the AE-to-SDR ratio is between 1.5 and 3.0 and the Manager-to-IC ratio in Sales is less than 0.15.
- Find companies where hiring for AI or ML titles in the last 30 days is more than 2x the prior 30 days.
- For an uploaded list of 1,500 accounts, count software engineers in North America and Western Europe, then flag accounts with more than 5.
- Find CISOs at companies where Security headcount is under 2 but Engineering headcount is at least 200.
The seven capability families
What this changes for GTM teams
Advanced Audience Search moves the hard part of list building into the search itself. Instead of exporting a broad list, computing the real signal elsewhere, and reshaping the output by hand, you can ask for the exact account or contact definition you need.That is especially useful when the buyer’s question is:- “Which accounts are showing a signal that our sales team can act on this week?”
- “Which contacts have actually done this work before?”
- “Which companies look under-invested in a function relative to their size?”
- “Which accounts from our own list match this custom profile?”
- “Which outputs should go directly into our CRM, warehouse, or outbound workflow?”
Why this works
These searches are possible because Landbase treats the underlying data as something you can compute over, not just something you can filter with a fixed menu.- Uploaded customer data is treated as a queryable table, not only an enrichment target.
- Career history is structured across roles, dates, descriptions, skills, and headlines.
- Job postings and career timelines are preserved historically instead of flattened to today’s snapshot.
- Output columns can be defined at search time, including counts, ratios, booleans, and labels.