1
External evidence
Independent research helps define the problem.
Research & evidence
Better networking starts with asking a better question.
Not how many contacts were exchanged. But whether the right people found each other, whether the interaction felt meaningful, and whether that created measurable value for the event.
Evidence discipline
Three different kinds of evidence.
Research, modeling and observed pilot outcomes answer different questions. InSync keeps those categories deliberately separate.
2
Modeled evidence
Simulations help us reason about product behavior before pilots.
3
Observed evidence
Only real-world pilots can establish real participant outcomes.
External evidence
Meaningful networking is an event-value problem.
Freeman's 2025 Networking Trends Report asked attendees, exhibitors and organizers why people network, what gets in the way, and what makes networking feel valuable.
51%
Want to return
Successful networking makes 51% of attendees
want to return to the event.
75%
Seek broader perspectives
75% prioritize professional connections that broaden
their industry perspective.
49%
Value purposeful prompts
49% say industry-topic or challenge prompts
make networking more valuable.
34%
Say it feels too salesy
34% say networking feels too salesy;
31% say it feels awkward.
External source:
Freeman Networking Trends Report 2025
.
Networking Syndicated Survey, July 2025.
The report includes 4,114 respondents:
2,326 attendees, 1,581 exhibitors and 207 organizers.
The attendee sample was 90% U.S.-based,
so these findings should not be interpreted
as universal global estimates.
The organizer gap
Networking already gets budget. Measurement often doesn't.
The gap is not necessarily attention or investment. It is knowing whether networking actually worked, for whom, and why.
The opportunity
Events can measure registrations, sessions and scans. Meaningful human connection is harder to see.
20%
Average networking budget share
Networking is already a meaningful event investment.
34%
Measure effectiveness
Only about one-third include measurement
of networking effectiveness.
96%
No dedicated networking lead
Responsibility often remains distributed
across the event organization.
InSync modeled evidence
Models help us design the experiment. They are not the result.
Before live pilots, scenario modeling helps us explore potential connection density and whether the experience can remain selective rather than visually overwhelming.
These figures are scenario-model outputs.
They are not measurements of real participant behavior,
guaranteed matches or commercial outcomes.
563,036
Visitors modeled
Across ten professional event scenarios.
10.70M
Relevant pairs
Modeled Relevant Connection Potential
at 100% adoption across those scenarios.
1.15
Dots at once
Simple average of modeled event-level
simultaneous dot means.
67.64%
See 1–3 dots
In the documented 50-person Monte-Carlo baseline;
23.98% see none.
Why this matters:
the objective is not to turn a room full of people
into a screen full of signals.
The model asks whether relevance can stay selective enough
that a signal still means something when it appears.
Evidence discipline
What we know. And what we still have to earn.
InSync deliberately separates technical proof, scenario modeling and real-world product outcomes.
What we know today
Technical and modeled evidence
- The core InSync interaction works on physical devices.
- Privacy-preserving relevance can be evaluated before identity is disclosed.
- Proximity and richer interaction can remain staged behind relevance and mutual consent.
- Scenario models suggest the experience can remain selective in larger rooms.
What pilots must establish
Human and organizer outcomes
- Do participants actually discover more meaningful connections?
- Do signals lead to useful real-world conversations?
- Does the experience improve perceived networking value?
- Is the improvement meaningful enough that organizers want to deploy InSync again?
Research should narrow the question,
not decorate the pitch.
External evidence tells us why better event networking matters.
Modeling helps us design and stress-test the product.
Controlled pilots must determine whether InSync
actually creates better real-world outcomes.