Meta Ads audience targeting for B2B software: the setup that actually reaches buyers
Meta's audience targeting for B2B software requires a different approach than B2C. Job title targeting is available but noisy. Interest targeting reaches hobbyists as often as buyers. Here's the targeting stack that actually reaches B2B software buyers on Meta — and the combinations to avoid.
Meta doesn't have LinkedIn's professional data infrastructure — it can't reliably target by job title the way LinkedIn can because most Meta users don't update professional information as frequently. Job title targeting on Meta works as a rough filter, not a precision tool. The audiences that actually perform for B2B software on Meta are built from your own data: website visitors, email lists, and lookalike audiences derived from people who've already converted.
What are Custom Audiences and why do they outperform everything else?
Custom Audiences let you upload your own data to Meta — email addresses, phone numbers, website visitor pixel data — and show ads specifically to those people. A custom audience of everyone who visited your pricing page in the last 30 days is far more valuable than any interest or job title targeting Meta offers. These users have already shown intent. Website Custom Audiences require the Meta Pixel on your site (a tracking code that identifies visitors). Email Custom Audiences require uploading a CSV of email addresses — your trial users, demo no-shows, newsletter subscribers, or CRM contacts.
How do Lookalike Audiences work and how should you use them?
Lookalike Audiences find Meta users who share characteristics with your source audience. A 1% Lookalike of your customer email list means the top 1% of Meta users most similar to your customers — approximately 2 million people in the US. The source quality determines the lookalike quality. Lookalikes from demo-request converters outperform lookalikes from website visitors outperform lookalikes from page engagers. Start with 1% lookalikes (most similar) before expanding to 2–3% (more volume, less similar).
What interest and job title targeting combinations work for B2B software?
If your custom and lookalike audiences are too small to run (under 1,000 people), use interests as a fallback — not a primary strategy. Effective combinations for B2B software: business owners + entrepreneurship interests + startup/SaaS-related pages. Add job titles as a secondary layer: CEO, Founder, VP Sales, Director of Marketing. Narrow with behaviours: "Small Business Owners" is a Meta-defined behavioural segment with higher signal than interest targeting. Avoid: generic interest categories like "technology," "business," or "marketing" — these audiences are too broad and include too many non-buyers.
What targeting should you never use for B2B software on Meta?
Broad targeting without any filters — Meta's "Advantage+ Audience" (which lets Meta choose who sees your ads) tends to optimise for engagement, not B2B conversions. Interest-only targeting with no narrowing — "people interested in SaaS" includes everyone from software users to job seekers to hobbyist developers. Age 18–24 unless your product serves that demographic — business software buyers skew older and this age bracket wastes budget. Gender targeting — avoid it in B2B unless you have strong data showing significant gender skew in your buyer profile.