Ten factors separate the programs that print pipeline from the ones that stall. Most of them are decisions and habits, not features.
1. Right inputs
Garbage in = garbage out. The platform learns from what you feed it:
- Track the right people: opp contacts on auto-import plus custom relationships (admins, power users, NPS respondents).
- Track the right companies: target, customer, and open opp accounts all categorized correctly.
- All 13 default signals activated, with Tech Stack, Funding, and Hiring configured with your details.
- Custom first-party signals added: events, demo requests, warm MQLs, product usage. These are often the highest-converting signals in the entire program.
Every downstream output (scores, audiences, messaging) inherits the quality of these inputs.
2. Persona accuracy
Personas define the titles UserGems surfaces, and they fail in both directions. Too narrow and you miss good titles: real buyers get filtered out of signals and audiences and you never see them. Too loose and you create noise: reps burn time on people who were never going to buy and lose trust in the leads. Keep coverage above 50%, keep accuracy at the 80-20 bar, and review personas as your market shifts.
3. Speed to lead
70% of a job changer's budget is spent in their first 100 days, and you are 74% more likely to win when you reach them first. Benchmark: first activity within 7 days of the lead being created. Automation (sequencing straight from campaigns) is the reliable way to hit it.
4. Volume: 5k+ leads
You need enough at bats for the math to work. Programs tracking enough contacts and companies to generate 5,000+ leads give the signals room to compound. Thin tracking lists and over-filtered audiences starve the program before it can prove anything. This is why we say do not over-filter: any past champion is warmer than a cold prospect.
5. Deep engagement: 1.5k leads with 5+ activities
This is the single biggest predictor of success. Customers who work at least 1,500 prospects to 5+ activities generate roughly 650% more revenue and 1,200% more pipeline. Warm outbound is still outbound: one email is not an attempt, it is a formality. The benchmark to manage toward is 8-10 median activities per actioned lead.
6. Multi-channel sequences
Not just email. Phones and LinkedIn matter, and the best-performing sequences mix all three: automated Gem-E emails carry the personalization, calls reference the email and the signal, LinkedIn adds the human touchpoint. Prospects who ignore one channel answer another.
7. Deliverability awareness
If deliverability is broken, UserGems will not work, full stop. The best messaging in the world converts nothing from a spam folder. Cold outbound on secondary domains only, 50-150 emails per mailbox per day, multiple warmed mailboxes per rep, SPF/DKIM/DMARC on every sending domain, bounce rate under 5%, one-click unsubscribe on.
Full guide: Email Deliverability Best Practices
8. Setting the right expectations internally
Not every lead will be perfect. Signals are probabilistic: a past champion may have moved into a non-buying role, a new hire may not own budget yet. Reps who expect 100% precision write off the program at the first miss; reps who understand they are working a dramatically warmer-than-cold list keep dialing. Set the expectation up front: the win is better odds at scale, not a perfect lead every time.
9. Collecting feedback regularly
Create a dedicated Slack channel where reps flag what they see: wrong titles, stale accounts, messaging that landed, signals that converted. That feedback loop is how personas get sharper, scoring gets tuned, and Gem-E messaging improves. Programs that route rep feedback to their admin and CSM compound; programs that let reps grumble privately decay.
10. Celebrating wins internally
When a past champion play books a meeting or closes, share it loudly: same Slack channel, team standups, leadership updates. Wins motivate the team to go deeper on the next lead, and they build the internal story that protects the program at renewal time. What gets celebrated gets repeated.