What results to expect from 11x
Published customer results, and an honest ramp curve. Week one is tuning, quarter one is the first real read. What drives the gap between outcomes.
Two things are worth separating: what 11x customers have published, and what your first quarter will realistically look like. The published numbers are real but they are outcomes at steady state. Week one is tuning, not performance.
Every figure on this page is customer-reported or an aggregate average published by 11x. None of it is a guarantee, and results vary with segment, configuration quality, and market. Treat them as evidence the motion works, not as a forecast for your account.
Published named results
| Customer | Industry | Reported result |
|---|---|---|
| Leica Biosystems | Biotechnology | Generated $4M in pipeline |
| Ornn | Financial services | 8 figures in active pipeline in a new market |
| LAB Group | Compliance | Over $1M in pipeline |
| Checkr | HR tech | 700% ROI |
| Questex | Media | 5x ROI |
| MMB Networks | Clean energy | Qualified meetings up 5x |
| Mapped | PropTech | Pipeline up 75%, a month of meetings booked weekly |
| Gupshup | MarTech | 50% more SQLs per SDR |
| BuildWitt | Construction | 40% of booked meetings via 11x in under 3 months |
| Unitech | Education | 35% of pipeline in 90 days |
| Brainsuite | MarTech | Won back 40% of its SDR's week |
Aggregate averages: +30% meetings per AE, +80% meeting-to-qualified-opportunity, -50% cost per lead. For inbound: -99% speed to lead, +61% inbound conversion, +3.5% win rate.
Full write-ups: 11x case studies.
The realistic ramp curve
| Period | What is actually happening | What to measure |
|---|---|---|
| Week 1 | Tuning at low volume | Deliverability, reply quality, qualification accuracy |
| Weeks 2-4 | Scaling what held | Meetings booked, rep agreement on quality |
| Month 2 | Steady operation | Meeting-to-opportunity conversion |
| Quarter 1 | First full sales cycle completes | Influenced pipeline, average deal size |
Review daily in week one, not weekly. Early signal tells you whether the ICP is too broad or the messaging is off, and both are far cheaper to fix at low volume than after a domain reputation problem.
Several published customers report material pipeline within 90 days - BuildWitt at under 3 months, Unitech at 90 days. That is a reasonable outer marker, not a week-one expectation.
What actually drives the difference
The variance between strong and weak outcomes is configuration quality, not the technology.
| Input | Effect when done well | Effect when skipped |
|---|---|---|
| Knowledge base | Outreach makes specific, credible claims | Fluent but generic messages |
| ICP definition | Replies from people who can buy | Volume with poor reply quality |
| CRM hygiene | Exclusions protect owned accounts | Contacting accounts reps are working |
| Deliverability setup | Mail reaches inboxes | Weeks of reputation repair |
| Rep feedback loop | Qualification tunes toward reality | Thresholds stay wrong, trust erodes |
The most common cause of disappointing results is treating setup as a one-hour task and launching at full volume. Teams that invest in the knowledge base and ramp deliberately consistently outperform teams that do not - with the same product.
Leading indicators, in order
Watch these in sequence. Each one gates the next.
Inbox placement and connect rate
If mail is not landing, nothing downstream matters.
Reply quality, not reply rate
Are replies from the roles and companies you targeted?
Rep agreement on meeting quality
The earliest reliable signal that qualification is calibrated.
Meeting-to-opportunity conversion
Where targeting quality shows up.
Influenced pipeline
The number that settles whether it works. Needs a full cycle.
Common questions
Next steps
Who 11x is for
Whether your situation fits.
How 11x saves time and money
Building the business case.
Getting started as an Admin
The configuration that drives the outcome.
Case studies
Full named write-ups.
Need help?
Email support@11x.ai, or book time with the team.