A Smart Manufacturing technology provider needed to move beyond internal assumptions about their target customers - understanding which segments held the highest potential, what those customers actually needed, and who the right contacts were within priority accounts. Frenus conducted a structured target group analysis, developed a scored segmentation model, identified the right contact persons, and executed outreach, ending with scheduled customer exchanges that directly informed product development, go-to-market positioning, and sales messaging.
Smart Manufacturing is not one market. It is a fragmented landscape of industrial segments, technology adoption stages, and buyer profiles, each with different priorities, pain points, and purchasing behaviours. Companies developing automation, IIoT, or digital factory solutions frequently operate with an ICP that is either too broad to drive precise decisions or too narrow to capture the full opportunity. Without structured, research-backed segmentation, product development responds to the loudest internal voice rather than actual market needs, go-to-market messaging misses the segments where fit is highest, and sales teams enter conversations without the customer intelligence that builds credibility. The result is slower cycles, higher churn, and missed opportunities in segments the company never properly understood.
We combine market research, structured segmentation methodology, contact identification, and direct outreach execution - moving from market analysis to scheduled customer conversations in a single engagement. We identify the segments where the client's proposition has the highest fit, score them against commercial and strategic criteria, map the right contacts within priority accounts, execute the outreach, and schedule the customer exchanges. The engagement does not end when the research is done, it ends when your customers are talking.
Smart Manufacturing companies receive a fully research-backed picture of their highest-potential customer segments, not a generic framework but a scored, prioritised view of the market grounded in actual buying behaviour and competitive dynamics. The right contacts within priority accounts are identified and reached. Scheduled customer exchanges give product, go-to-market, and sales teams direct access to the voice of the market, ensuring that roadmap decisions, positioning choices, and sales conversations are all built on what customers actually need rather than what internal teams assume they need.
We map the relevant Smart Manufacturing landscape, identifying the industrial segments, technology adoption stages, and buyer profiles that represent the highest opportunity for the client. We analyse customer needs by segment, assess competitive positioning across each segment, and identify where unmet needs or underserved groups create the strongest entry points. This foundation ensures the segmentation is grounded in actual market behaviour rather than internal assumptions about who the ideal customer is.
We develop a segmentation model calibrated to the client's specific criteria - strategic fit, addressable market, buying behaviour, technology readiness, and competitive intensity. Each identified segment is scored and ranked. Within priority segments we identify and score individual target accounts, delivering a structured, filterable output that integrates directly into the client's CRM or commercial workflow. The scoring model is fully documented and repeatable for future waves.
For each priority account we identify the right contact persons - mapping decision authority, functional responsibility, and organisational influence across relevant roles including operations, engineering, IT, and procurement. We build a personalised outreach approach calibrated to each target and execute the outreach on behalf of the client team. The goal is not a sales conversation but a structured customer exchange - understanding needs, priorities, and pain points directly from the market.
We schedule the customer interviews and exchanges, manage coordination, and prepare structured discussion guides aligned to the analytical questions driving the engagement. Customer exchanges are handed over to the client team with full context, segment background, account profile, contact intelligence, and recommended discussion focus. Findings from completed exchanges are synthesised into structured outputs across the three dimensions that matter most: implications for product development, go-to-market positioning, and sales messaging.
It depends on the analytical goal. Product development teams use exchanges to validate roadmap assumptions and surface unmet needs. Go-to-market and sales teams use them to sharpen messaging and understand competitive dynamics from the customer perspective. Strategy teams use them to pressure-test market sizing and segment prioritisation. We structure the discussion guides to serve the specific audience, and can run parallel exchange programmes for different internal stakeholders if needed.
Very specific. We work at the level of industrial sub-segments, technology adoption stages, and individual account profiles - not broad verticals. Whether the target is discrete manufacturing, process industries, OEM automation suppliers, or industrial software buyers, we calibrate the segmentation to the actual buying behaviour of that specific group.
We typically schedule between five and thirty customer exchanges per engagement, depending on the scope of the segmentation and the number of priority segments. First exchanges are usually confirmed within two to three weeks of engagement start. For larger programmes we run parallel outreach streams across segments to maintain momentum.
Yes, and for many Smart Manufacturing clients this is the most valuable format. Market needs, competitive dynamics, and customer priorities shift continuously. A recurring programme, typically quarterly or bi-annual, ensures product development and go-to-market decisions are continuously grounded in current customer reality rather than research that is twelve months old.
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