The stand has been dismantled, the demos packed away and the calendars filled up again. What remains of VivaTech is a collection of contacts, promising conversations and that familiar phrase: “Send me something.” For a young company, this is where the real work begins. As business picks up again in September 2026, how can the energy of the show be converted into productive meetings, then contracts? Not by following up with everyone more often, but by making better choices about whom to contact, why and with what proposal.
This approach draws on established sales practices and trends documented before 2026, notably the widespread adoption of customer relationship management tools and generative AI. It makes no assumptions about the outcome of VivaTech 2026 or its impact: the prospects discussed remain hypotheses, not observed results.
The trap of a full address book
A technology trade show brings several markets together in one space: buyers, investors, partners, job candidates, journalists and curious visitors. All may be of interest. Not all are sales prospects. Combining them in a single database creates an illusion of abundance, followed by disappointment when contracts fail to materialize.
The initial sorting should therefore focus on the nature of the encounter. An enthusiastic head of innovation may open a door without controlling the budget. A less outgoing operations director may have an urgent problem and the means to solve it. A contact’s quality lies in their ability to move a decision forward, not in their enthusiasm at the stand.
Back at the office, each conversation deserves a brief record: company, role, problem discussed, current solution, timeline and next action. Notes taken while the conversation is fresh are often worth more than data added later. Without a record of the discussion, a follow-up quickly starts to resemble cold outreach.
Qualify before automating
The temptation is familiar: import badge data into the CRM, write an appealing message and schedule a sequence. Tools have made this process accessible to small teams. But automating outreach to a poorly qualified database mainly speeds up the delivery of irrelevant messages.
A simple framework is enough to get started. It should help answer four questions:
- Is there a concrete need? An overly slow process, excessive costs or a compliance requirement provide better starting points than a general interest in innovation.
- Does the company fit the target profile? Size, sector, technical constraints and deployment capacity matter as much as its reputation.
- Who decides and who pays? The contact may be a user, an influencer, a buyer or simply an intermediary.
- Is there a credible timeline? A project planned for this year should not be handled like an exploratory inquiry with no deadline.
The answers help distinguish active opportunities, contacts to nurture and leads to discard. This classification remains provisional. Missing information is not necessarily a negative signal: it becomes a question to ask. Conversely, a prestigious logo does not justify weeks of unpaid work.
A follow-up should offer a way forward
A good message does not repeat the entire company pitch. It recalls a specific point from the conversation, links it to a demonstrable capability and proposes a proportionate next step. For a management tool, that might mean a discussion focused on the current approval workflow rather than a generic hour-long demo.
Consider a hypothetical example: a founder meets a logistics manager who describes recurring order-picking errors. Her follow-up recalls the problem, offers to examine a representative dataset and asks for the operations manager to attend. In doing so, she turns curiosity into a testable working hypothesis.
Speed helps, but the much-discussed ideal follow-up window is far from universal. A commitment made at the stand must be honored by the promised date. After that, the pace depends on the buying cycle. Every new message should add something: a technical answer, a comparable case study or a proposal to define the project’s scope.
In September, for contacts who have remained silent since the show, it is better to acknowledge the time that has passed than to pretend the conversation was recent. Asking whether the topic remains a priority, then offering to close out the follow-up if there is no project, is often more useful than another polite message.
From meeting to contract: making the path visible
Securing a meeting does not yet amount to a solid opportunity. To avoid optimistic forecasts, the team must define evidence-based stages: need confirmed, stakeholders identified, scope discussed, proposal reviewed and decision scheduled. “A very good conversation” is not a sales stage.
The next commitment must be agreed with the prospect. Who sends what? Who attends the next meeting? On what date? This discipline prevents deals from stalling while the salesperson works alone and the buyer has already shifted priorities.
Pilots require particular vigilance. In relationships between startups and large corporations, experimentation can facilitate market access, but it can also postpone a purchase indefinitely. Before starting, the duration, resources required, success criteria and final decision-making process must be defined. A paid pilot is a useful signal, but it does not guarantee a rollout.
Measuring what the show really delivers
The assessment starts with the full costs: stand space, transport, accommodation, equipment, preparation and staff time. It also includes follow-up. Ten tailored proposals can consume more resources than two days at the event. Overlooking this work artificially inflates the event’s return.
On the results side, it is best to separate three levels: activity completed, the opportunity pipeline and revenue secured through signed contracts. Meetings measure execution; qualified opportunities indicate potential; contracts document conversion. Adding these categories together makes no economic sense.
Attribution also calls for modesty. A customer first met at the show is not comparable to an advanced prospect who was simply seen again there. Distinguishing deals generated by the event from those it helped accelerate in the CRM allows for a more honest assessment. When judging profitability, expected margin is more revealing than revenue alone.
Reviews at thirty, ninety and one hundred and eighty days can serve as checkpoints, adjusted to the sales cycle. The aim is not to write off a show too early, but to compare editions and acquisition channels on a consistent basis.
AI can help, but it cannot replace judgment
Generative AI can summarize notes, suggest follow-ups and identify missing information. Its outputs must be checked, and the data shared with these tools must be limited. A scanned badge does not authorize every use: informing people, ensuring outreach is relevant and providing an opt-out remain essential.
What now? For future trade shows, the advantage may depend less on the volume of contacts than on the ability to organize their conversion before the doors even open. Defining target accounts, qualification criteria and follow-up rules would make the investment easier to assess. The best evidence of success would then no longer be a photo of a crowded stand, but a documented path from an encounter to a problem solved and a profitable contract.
