Rikard Jonsson
Rikard Jonsson is Founder & CEO of Hey Sid and a five-time entrepreneur with a background in B2B SaaS, sales, and brand building. He believes B2B marketing is overcomplicated and writes about going back to basics: visibility, positioning, and consistent presence among the accounts that matter.
How to Shorten the Sales Cycle in Energy and Data Centre Deals
Quick answer: You cannot compress a data centre or energy systems sales cycle by selling harder. You compress it by removing dead time - the weeks a deal sits still because a stakeholder has not heard of you, a technical question is unanswered, or a capex paper is unwritten. Recognition, coverage and proof assets are compressible. Board calendars and commissioning windows are not.
A 40 MW colocation upgrade or a grid-connected storage project does not close in a quarter. Twelve to thirty-six months is normal, the buying group runs past a dozen people, and the deal passes through engineering, procurement, legal, finance and sometimes a regulator before anyone signs. Sales leaders in these markets tend to accept that as fixed.
Most of it is fixed. A meaningful slice is not.
Across the 150+ B2B companies we work with, the biggest predictor of whether a marketing programme survives is not campaign performance. It is whether the team can prove business impact and defend the budget internally. Campaigns that generate strong engagement still get cut when nobody can connect them to pipeline. That matters twice over in long-cycle infrastructure selling, because the programme has to survive longer than the deals it is meant to influence.
This guide separates the compressible parts of the sales cycle from the fixed ones, gives you a diagnostic framework for auditing your own, and sets out what UK teams can and cannot do under UK GDPR and PECR while doing it.
What is the sales cycle in energy systems and data centre deals?
The sales cycle is the elapsed time from the first recorded contact with a target account to a signed contract. In energy systems, industrial automation and data centre infrastructure, that clock covers far more than selling activity.
A representative cycle in these sectors runs through:
Problem formation - a capacity constraint, a compliance deadline, an efficiency target or a failed asset creates internal pressure
Informal scoping - engineers read, ask peers, sit in on webinars and shortlist suppliers long before contacting anyone
Technical qualification - specifications, site surveys, load modelling, interoperability checks
Commercial structuring - pricing, service levels, warranty, spares, lifecycle costs
Capex approval - a business case travels through finance, then a capital committee, then sometimes a board
Legal and procurement - contracting, framework agreements, tender compliance, insurance
Scheduling - the order lands, but the commissioning slot is nine months out
Two features distinguish this from software buying. First, the buying committee is genuinely technical. A data centre operator's electrical engineering lead can veto a supplier that a commercial director favours. Second, the money is capital, not opex. A $2M switchgear programme competes with every other capital request in the organisation, and that queue moves on an annual rhythm rather than a monthly one.
Which means the sales cycle in these deals is mostly a sequence of internal processes at the buyer's organisation, punctuated by moments where you are allowed to influence them. Compression comes from being present, credible and useful at those moments - not from more follow-up emails.
Why the sales cycle matters more in infrastructure than in SaaS
A long sales cycle is not automatically a problem. It becomes one when it is longer than it needs to be, and when nobody can tell the difference.
Working capital is trapped. For an OEM or a systems integrator, engineering hours spent on pre-contract design are real costs carried for months. Shortening a 24-month cycle to 18 changes the cash profile of the whole business, not just the commission cheque.
Forecast accuracy collapses over distance. Anything past about two quarters is a guess. Shorter cycles pull more of the pipeline into the range where forecasting is grounded in observable behaviour.
Committees churn. Over an eighteen-month cycle in a growing data centre operator, the sponsoring engineer may move on. Every departure restarts a section of the process. Speed reduces exposure to that risk.
Incumbents win on inertia. The longer a deal runs, the more chances a familiar supplier has to reassert itself. Displacement selling rewards momentum.
Marketing budgets are annual, deals are not. This is the quiet killer. A programme aimed at 24-month deals has to justify itself at a twelve-month budget review, and impressions do not survive that conversation. Teams that can show which named target accounts moved closer to a decision keep their funding. Teams that report reach do not.
Our own aggregate figures across account-based programmes point to shorter cycles on influenced accounts, and one customer in a regulated European market, the fraud prevention firm Risk Ident, recorded cycles roughly 2.5 times shorter alongside 40% higher engagement. Treat those as directional rather than as a promise; your baseline and deal shape will differ.
The Dead Time Audit: where the months in your sales cycle really go
Before changing anything, work out what you are changing. The Dead Time Audit splits total cycle length into five categories and tells you which ones a marketing or revenue team can genuinely act on. Run it against your last ten closed-won deals using CRM timestamps and, where the CRM is thin, the memory of the sales reps who ran them.
Time category | What it looks like in the deal | Typical share of cycle | Compressible? | Who owns the fix |
Recognition time | Weeks between a stakeholder entering the deal and knowing who you are; outreach ignored; introductions restarted | 10-20% | Yes, substantially | Marketing - pre-warming the full committee |
Answer time | Deal pauses awaiting a spec sheet, reference site, load calculation or compliance document | 10-25% | Yes, substantially | Product marketing plus technical sales |
Coverage time | A stakeholder who was never engaged surfaces late and reopens settled questions | 10-20% | Yes, partially | Marketing and sales jointly, via committee mapping |
Governance time | Capital committee dates, board cycles, tender windows, regulatory sign-off | 25-40% | Rarely | Nobody - plan around it |
Physical time | Site surveys, factory lead times, commissioning slots, seasonal outage windows | 15-30% | No | Operations |
Two things usually fall out of this exercise.
The first is that governance and physical time dominate, which is why heroic sales effort produces so little. Pushing on a capital committee that meets quarterly does not make it meet monthly.
The second is that recognition, answer and coverage time together often account for a third of the calendar - and every one of them is addressable without discounting, without new headcount and without asking the buyer to change how they buy. That third is your realistic compression target. If your audit says otherwise, believe your audit.
A worked illustration, using invented numbers so run it with your own data: a 22-month average cycle with 35% governance, 20% physical, 15% recognition, 18% answer and 12% coverage time has roughly 9.9 months of addressable delay. Halving that returns nearly five months. That is the honest ceiling, and it is still a large number.
Four types of delay in long infrastructure deals
Delay is not one thing, and each type responds to a different intervention.
Recognition delay. The prospect does not know you. Cold outreach into a technical committee has a poor hit rate in these sectors, because engineers screen unfamiliar vendors hard. The fix is exposure ahead of contact - the same named individuals seeing your ads, your engineers' LinkedIn posts and your case material for weeks before anyone asks for a meeting. Our broader argument on this sits in the guide to B2B marketing strategy for long sales cycles.
Committee delay. You are engaged with three people in a nine-person group. The unengaged six do not block the deal loudly; they block it by having questions nobody asked them for. Coverage mapping and account-level reach fix this, and it is the core of most ABM tactics for B2B worth running.
Validation delay. The buyer needs proof: a comparable installation, uptime data, a compliance certificate, an integration test. Every unanswered technical question is dead calendar time. Pre-building this library is unglamorous and possibly the highest-return work available to a product marketer in this space.
Governance delay. Capital committees, tender rules, planning permission, DNO connection queues. You do not compress these. You do get ahead of them - knowing that a UK operator's capital paper deadline falls in October is worth more than another follow-up call in November.
Recognition, committee and validation delay are where a lean marketing team earns its budget. Governance delay is where good account planning earns its keep.
How to shorten the sales cycle without discounting
Price cuts shorten cycles by transferring value to the buyer. Here is the sequence that does not.
1. Build the coverage list before outreach. For each target account, name the roles that will touch the decision: technical authority, operations, procurement, finance, security, sustainability where relevant, plus the executive sponsor. In data centre deals that list frequently runs past ten people. If your CRM holds four, you have a coverage problem disguised as a pipeline problem.
2. Pre-warm the whole committee, not the champion. Individual-level advertising and thought leadership aimed at the named list, running 60-90 days before outreach, changes the temperature of the first conversation. Precision here matters more than volume; there is no value in reaching an adjacent industry.
3. Answer the technical questions before they are asked. Build the reference architecture, the commissioning timeline, the interoperability matrix, the standards compliance summary. Publish them. Give sales reps a single place to find them.
4. Write for two audiences at once. The engineer needs specification. The CFO needs a payback model. Deals stall when the champion cannot translate. Give them the translation - a one-page business case they can paste into an internal paper.
5. Instrument the handoff. Sales reps should be able to see, on the account record, who has been exposed to what before they pick up the phone. Hey Sid's two-way HubSpot integration writes ad impressions, clicks and engagement totals onto existing company records as properties prefixed "Sid", and imports deals read-only each night; it never edits or deletes a record that already exists in the CRM. Whatever your stack, that visibility is the point.
6. Time the calendar, not the quarter. Map each account's capital approval rhythm and work backwards. A proposal landing three weeks after the committee met is a proposal that waits a quarter.
7. Disqualify faster. Nothing lengthens an average cycle like carrying deals that will never close. Tighten ICP definition and let go early.
For a tactical treatment of the middle stages, see our breakdown of ABM pipeline acceleration tactics and the companion piece on deal orchestration for large B2B deals.
The landscape of approaches for compressing long cycles
Five broad approaches exist. None is universally right, and most mature teams combine two.
ABM advertising platforms - Influ2, ContactLevel, Metadata, 6sense, Demandbase and the European account-based ad platform N.Rich all reach named accounts or named people. Powerful, and they assume you have internal resource to run them.
Done-for-you ABM agencies - Agent3, The Marketing Practice, Transmission and Momentum ITSMA deliver strategy and execution at a high standard. All are enterprise-weighted, built around Fortune 500 clients with substantial in-house marketing teams. If you have 40 employees and two marketers, you are not their centre of gravity.
Intent and signal data - Bombora and similar providers flag research activity at account level. Useful for prioritisation, not for reaching anyone.
Technical content and community - trade publications, standards bodies, IET and data centre industry events. Slow to compound, durable once it does.
In-house build - LinkedIn Campaign Manager, a CRM, a freelance designer and a disciplined RevOps lead. Cheapest in cash, expensive in attention.
Choosing between them is largely a question of internal capacity, which our pipeline generation software buyer's guide works through in more detail.
A UK note before you commit budget. LinkedIn Conversation Ads and Message Ads can target UK members but not members in the EEA, where LinkedIn withdrew that targeting in January 2022. For a UK-focused programme they are available and worth testing; for a pan-European one, plan alternative formats for EEA audiences. LinkedIn's default Insight Tag fires on page load, which requires consent under UK PECR as well as in the EEA, so a consent-gated install is required in both. Person-level visitor identification remains effectively unusable under UK GDPR and EU GDPR alike. Check the ICO's guidance and put it in front of your own compliance owner.
Where Hey Sid fits
Disclosure: this guide is published by Hey Sid, so read this section knowing that.
Hey Sid is a person-targeted ad engine and done-for-you ABM platform for mid-sized B2B companies. The method, the Influence Loop, points three motions at the same named individuals: Always On for individual-level advertising across paid social, display and the open web, Authority Builder for done-for-you LinkedIn thought leadership, and Precision Connect for network expansion and personalised outreach. Because all three aim at the same people, recognition accumulates and outreach lands on someone who already knows the brand.
That is a recognition problem being solved, not a throughput problem. It attacks recognition and coverage time in the Dead Time Audit and does nothing for governance or physical time.
It suits sales-led organisations of roughly 20-100 employees with $5M-$50M+ revenue, long consultative cycles and a defined target account list - the profile of most energy systems, industrial automation, OEM and data centre suppliers. Customers in adjacent industrial markets, including REAC and Tyri Lights, have used it for global visibility gains.
It is the wrong choice if your annual budget is under $25K, if you are pre-ICP, if you sell B2C or high-velocity transactional B2B, if you need direct click-to-close attribution, or if you want a DIY tool you operate yourself. It is also slow by design: the model compounds over 60-90 days, and anyone needing pipeline inside six weeks should look elsewhere. Pricing is a service fee plus ad spend, with a minimum commitment.
What to expect and how to measure sales cycle compression
Measure cohorts, not anecdotes. One fast deal proves nothing in a market where cycles run for years.
Metric | How to measure | Read it as |
Median stage duration | Days in each CRM stage, by closed cohort | The diagnostic - shows which stage moved |
Committee coverage | Distinct engaged contacts per open account | Leading indicator of committee delay |
Meeting acceptance rate | Accepted meetings / outreach attempts, warmed vs cold | Whether pre-warming is working |
Time to first technical validation | First contact to completed technical review | Tracks answer time directly |
Influenced pipeline | Pipeline value on accounts exposed to the programme | Budget defence, not attribution |
Win rate on influenced accounts | Won / closed, influenced vs not | The commercial payoff |
Two expectation-setters. First, you will not see cycle compression in the first quarter, because the deals closing this quarter started before the programme did. The first honest read arrives when a cohort that entered after launch closes. Second, influenced pipeline is not click-to-close attribution. Reporting of the kind Hey Sid's HubSpot integration surfaces shows Influenced Companies, Influenced Pipeline and Influenced Revenue with the CRM left as source of truth. It tells you which accounts moved. It does not claim an ad caused a signature, and you should distrust any vendor that says otherwise. Our guide to account-based marketing attribution covers the distinction properly.
Common mistakes to avoid
Judging a long-cycle programme on 30-day lead counts. Account-based work compounds over 60-90 days; short-term lead metrics will tell you to cancel something that is working.
Engaging the champion and nobody else. A programme that lives with one internal contact is fragile; the ones that last are owned across engineering, procurement and finance on the buyer's side too.
Treating procurement as an obstacle rather than a stakeholder. In tendered infrastructure buying, procurement shapes the specification. Late engagement costs months.
Firing the LinkedIn Insight Tag on page load. Non-compliant in the EEA and consent-required under UK PECR. The li_gc cookie is LinkedIn's internal consent state, not a lawful basis.
Discounting to force a close. It moves the date by weeks and the margin permanently.
Reporting reach to the board. Nobody defends a capital marketing budget with impressions.
Skipping the audit. Without knowing your own dead time split, you will spend on the wrong third of the cycle.
Ready to shorten your sales cycle?
If your energy systems or data centre deals lose months to recognition, coverage and unanswered technical questions, that time is recoverable. Hey Sid warms the named individuals on your target list across ads, thought leadership and outreach for 60-90 days before your sales reps make contact, then writes the engagement back onto the company records they already work from.
Or see how it works first.
Conclusion and next steps
The realistic goal in infrastructure selling is not a short sales cycle. It is a cycle with the avoidable delay taken out of it. Governance and physical time will keep most of these deals in the twelve to thirty-six month band regardless of what marketing does, and pretending otherwise damages credibility with sales reps who know the market better than any dashboard.
Start with the Dead Time Audit on your last ten wins. If recognition, answer and coverage time come out near a third of the calendar, you have found your programme's remit. Build the coverage list, pre-warm the committee, publish the technical proof, instrument the handoff into the CRM, and measure by closed cohort rather than by week.
From here, the pipeline acceleration tactics piece covers the mid-funnel mechanics, the deal orchestration guide handles multi-stakeholder win strategy, and the long sales cycle strategy article sets out the full-year planning view. Read whichever matches the delay type your audit surfaced.
FAQ
How long is a typical sales cycle in data centre and energy systems deals?
Twelve to thirty-six months is standard for capital infrastructure purchases, and complex grid-connected or multi-site projects run longer. The variation comes from capital approval rhythm and technical validation depth rather than from selling effort. Measure your own median by stage rather than relying on sector averages, because deal size and procurement model shift the number substantially.
Does account-based marketing shorten the sales cycle?
It shortens the parts driven by unfamiliarity and incomplete committee coverage, which in most infrastructure deals is a meaningful share of the calendar. It does not shorten capital committee schedules or commissioning lead times. Expect compression to show up in the stages before commercial structuring, and expect the first credible reading only once a post-launch cohort closes.
Can UK teams use LinkedIn Message Ads to reach buying committees?
Yes. LinkedIn Conversation Ads and Message Ads can target UK members; LinkedIn withdrew that targeting for EEA members in January 2022. For a UK-focused programme they are available now. If you run pan-European campaigns, plan different formats for EEA audiences and check the current position with your own compliance owner before launching.
What should sales reps do differently in a long sales cycle?
Work the committee rather than the champion, map the buyer's capital approval calendar early, and treat unanswered technical questions as the priority queue. Sales reps who know which stakeholders have already seen the brand can open at a different level than cold. Disqualifying weak accounts early does more for the median cycle than accelerating strong ones.
How do you prove marketing shortened the sales cycle?
Compare median stage duration for cohorts that entered the pipeline before and after the programme started, split by influenced and non-influenced accounts. Report it alongside committee coverage and win rate. Avoid claiming a single touch caused a close; influenced pipeline reporting shows which accounts moved, which is the defensible claim and the one budget holders accept.
Sources
This article introduced the Dead Time Audit framework and drew on our first-party finding that budget defensibility, not campaign performance, is the strongest predictor of whether a B2B marketing programme survives.
