Lead scoring for energy: how to score utilities, power producers, and oil and gas accounts
Rank utilities, power producers, and oil and gas operators as accounts. Pick the segment first, then build fit and timing from public filings: EIA data, commission dockets, interconnection queues, and permits.
Lead scoring for energy ranks utilities, power producers, developers, and oil and gas companies by how closely they match the customers you win and whether a funded project is coming. The buyer is an organization with a long, formal purchasing process, so the scored record should be the account. Fit comes from segment, size, ownership, and systems. Timing comes from public filings.
Why generic lead scoring fails in energy and utilities
EIA counted almost 3,000 electric distribution utilities in 2017: 168 investor-owned utilities averaging 654,600 customers each, 1,958 publicly owned utilities averaging 12,100, and 812 cooperatives averaging 24,500. Investor-owned utilities served about three of every four customers. Today NRECA counts 830 distribution cooperatives serving 42 million people, and APPA says public power serves more than 55 million Americans. Employee count captures none of that, and says nothing about a wind developer or an oil producer.
| A generic model assumes | In energy and utilities | Effect on the score |
|---|---|---|
| One industry value is enough | An investor-owned utility, a cooperative, a power producer, and an oilfield services firm buy differently | Unlike accounts share a score |
| Headcount shows size | Utilities size by customers, developers by megawatts, oil and gas by production or rigs | A 30-person developer with a large pipeline scores as small |
| Budget is a company decision | A regulated utility recovers spending through rates a commission approves | The score ignores whether money is approved |
| Web visits in a quarter show interest | Cycles are long and run through formal RFPs, with a pilot before a rollout | Real evaluations look like silence |
If your ideal customer profile still says “energy companies” with no segment or size measure, start with our ICP scoring guide.
Segment first: how the model changes
Store segment as a property on the account. Most vendors need one model per segment, or a heavily weighted segment factor.
| Segment | Size it by | Timing signals that carry the most weight | What shapes the purchase |
|---|---|---|---|
| Investor-owned utility | Customers served, megawatt-hours sold | Rate cases, resource plans, capital plans | Cost recovery through rates a commission approves. Formal RFPs |
| Municipal utility | Customers served | Council or board budget votes, RFPs, funding awards | Public procurement rules and the city’s budget year |
| Electric cooperative | Members served | Board-approved work plans, RFPs, funding awards | A member-elected board and a small staff |
| Renewable developer or independent power producer | Operating and pipeline megawatts | Interconnection study progress, planned units, financing | Project schedules and financing, with no rate case |
| Oil and gas operator | Production, wells, rigs running | Drilling permits, rig counts, price outlook | Commodity prices. Budgets can change within the year |
Gas and water utilities also size by customers but sit outside the EIA electric surveys. Start with state commission records.
Fit factors that matter in energy and utilities
| Fit factor | Why it matters | Where the data comes from |
|---|---|---|
| Segment and ownership | Sets the buying process and the budget source | Website, EIA-861 ownership type |
| Size, in the segment’s measure | Decides contract size and whether a formal RFP is required | EIA-861, EIA-860, state regulators |
| Service territory or basin | Decides weather exposure, grid operator, and state rules | EIA-861 service territory file, permit data |
| Asset base and fuel mix | Wires, plants, storage, pipelines, and wells need different products | EIA-860, company reports |
| Systems in use | The SCADA, outage, or asset system you would connect to or displace | Sales discovery, job postings, RFP documents |
Form EIA-861. EIA’s Annual Electric Power Industry Report collects data “from distribution utilities and power marketers of electricity.” Its files include sales to ultimate customers, service territory, advanced metering, reliability, and mergers. Smaller utilities file a short form with less detail.
Form EIA-860. This survey collects “generator-level specific information about existing and planned generators” at plants of 1 megawatt or more, including proposed and retired units. Final 2025 data was released on September 10, 2026.
FERC Form No. 1. FERC describes it as “a comprehensive financial and operating report submitted for Electric Rate regulation and financial audits”.
On systems, score the category and leave the product name for discovery: SCADA, outage management, asset management, and customer information systems. Missing data contributes 0, so weight the field only as far as your coverage allows. The model scores organizations and business contacts, and never uses a utility’s customer or meter data.
Timing and buying signals in energy and utilities
Timing says whether money and a deadline are attached. The strongest signals are public filings.
| Signal | What it suggests | Where to find it |
|---|---|---|
| Rate case filed, or capital plan approved | Spending proposed or cleared for named programs | State public utility commission dockets |
| Integrated resource plan | What the utility expects to build, buy, or retire | Commission dockets, the utility’s website |
| Planned capacity additions or retirements | Plants to equip or decommission | EIA-860 and the monthly EIA-860M |
| Interconnection request | A project is far enough along to study | Queues published by grid operators |
| RFP or request for information | A formal evaluation has started | Procurement portals |
| New drilling permits | An operator is committing capital in a basin | State oil and gas regulators |
| Acquisition or merger | Systems and territories to combine | EIA-861 mergers file, company news |
| Reliability event | Pressure to change equipment or process | EIA-861 reliability file, DOE Form OE-417 incident reports |
| Federal funding award | A named project with money and a schedule | DOE program pages, such as the GRIP project list, dated December 2024. Confirm each award’s current status |
| New executive, or a new mandate with a deadline | Priorities and vendors get reviewed | Company news, commission and FERC orders |
| Conference attendance | Active evaluation, often by engineering and operations | Your badge scans at events such as DISTRIBUTECH, next held March 1 to 4, 2027 in Atlanta |
Planned generation. EIA’s Preliminary Monthly Electric Generator Inventory tracks existing and proposed units. Developers planned to add 86 gigawatts of utility-scale capacity in 2026, against 53 gigawatts added in 2025.
Interconnection queues. FERC reported over 10,000 active interconnection requests and over 2,000 gigawatts of potential generation and storage in queues at the end of 2022. Its Order No. 2023 added site control and deposit requirements. Score a queue entry modestly and study progress more heavily.
Oil and gas permits. The Railroad Commission of Texas offers a Drilling Permit (W-1) Query updated nightly, a statewide Production Data Query updated monthly, and an Organization (P-5) Query.
Commodity prices. EIA’s monthly Short-Term Energy Outlook forecasts crude oil and natural gas prices. Baker Hughes publishes its North America rig count weekly and calls it a leading indicator of demand for products used in drilling, completing, and producing hydrocarbons.
Set decay per signal type: a rate case stays relevant far longer than a webinar visit. Rate cases, resource plans, and the other signals in this section are defined in our buying signals glossary.
The energy buying group, and how to score coverage
Forrester reports that across B2B, 95% of B2B purchases involve three or more people, and a utility’s group runs larger than that.
| Role | What they care about | Part in the decision |
|---|---|---|
| Operations | Reliability, safety, restoration time | Champion or blocker. Owns daily use |
| Engineering | Technical fit, proof from a pilot | Evaluator. Often writes the specification |
| Asset management | Asset condition, capital plan | Sponsor for asset-related purchases |
| IT, OT, and cybersecurity | Integration, access, vendor risk | Reviewers. Can stop a deal late |
| Regulatory affairs | Whether the cost can be justified to the commission | Advisor at regulated utilities |
| Supply chain or procurement | Process, terms, approved vendors | Runs the RFP and contract |
| Finance and executive sponsor | Capital versus operating expense, strategy | Budget and final approval |
Score coverage as a factor on the account: how many of the roles that matter for your product do you hold as contacts, and how many were active in the last 180 days? One workable scale: all of the value when four or more roles are active, part of it for two or three, and almost none for a single role. At a small cooperative one person may hold three roles, so set the bar by segment.
Security review is late-stage evidence. A utility rarely spends a vendor risk review on a supplier it does not expect to shortlist. For buyers on the bulk electric system, NERC’s CIP-013 standard requires a supply chain cyber security risk management plan that covers vendor incident notification, vulnerability disclosure, and vendor remote access. When a security questionnaire arrives, log it as a strongly weighted signal. What the standard requires of any one buyer is a question for that buyer.
Disqualifiers specific to energy and utilities
- Wrong segment for your product. A distribution product has no buyer at a pure generation owner.
- A competing system under a long contract. Store the end date.
- Subsidiary where the parent or holding company buys centrally. Score the parent.
- A queued project with no site control or financing.
- Operator in bankruptcy or selling its assets.
A worked example: scoring a demo cooperative
The seller offers asset management software to distribution utilities. The demo account is an electric cooperative with about 138,600 members in a storm-exposed rural territory. It runs an outage management system, tracks assets in spreadsheets, and has a competing maintenance tool under contract through 2029.
- Segment and ownership (distribution cooperative) 30% 9.1
- Customers served (100,000 to 250,000) 25% 8.4
- Territory and asset base 20% 7.6
- Systems in use 20% 6.7
- Competing tool under contract to 2029 5% -4.2
The math: 9.1 at 30% is 2.73, 8.4 at 25% is 2.10, 7.6 at 20% is 1.52, and 6.7 at 20% is 1.34. That adds to 7.69. The disqualifying factor subtracts 4.2 at 5%, or 0.21, for a fit score of 7.5 out of 10.
The same account’s timing and engagement, read separately:
| Signal (last 180 days) | Counts | Why |
|---|---|---|
| Board approved a multi-year construction work plan | Strongly | Capital is cleared for the asset base you serve |
| RFI issued for asset management software | Strongly | A formal evaluation has begun |
| Security questionnaire received from IT | Strongly | Late-stage effort a utility spends on likely finalists |
| Engineering manager attended a technical webinar | Moderately | An evaluator role, spending real time |
| Staff opened marketing emails | Not at all | Opens are unreliable |
A rep sees a 7.5 fit, an approved plan, an open RFI, a security review under way, and one contract date to raise.
Plays by score band, with budget-cycle timing
| Account fit | Timing and engagement | Play | Timing note |
|---|---|---|---|
| 8 and up | 7 and up | Account executive responds within one business day and cites the filing, plan, or RFI | Register as a vendor now |
| 8 and up | Below 7 | Named-account outreach to engineering and operations. Offer a pilot scope | Be known before the next budget or rate case |
| 6 to 7.9 | 7 and up | SDR confirms segment, size, and funding | If budget is set, ask about next year |
| 6 to 7.9 | Below 7 | Nurture with segment-specific technical content | Send planning content ahead of budget season |
| Below 6 | Any | No rep time. Answer inbound questions | None |
Store each account’s fiscal year as a property, since budget years differ. Schedule pilots outside storm season and peak load months, and review oil and gas plays when the price outlook changes.
How to measure and tune the model
Check whether your top-scored utilities and operators sign at a higher rate than the lower bands. Closed-won arrives slowly here, so also measure stage progress by band: meetings, pilots, and RFP shortlists.
| What you see | What it usually means | What to do |
|---|---|---|
| Accounts scoring 8 and up reach pilot clearly more often | The model works | Keep a twice-yearly review |
| Strong accounts sit below 6 | Size or systems fields are empty, contributing 0 | Load EIA data, or lower the weight |
| Deals stall in security or procurement review | Coverage is all engineering | Give more weight to IT, cybersecurity, and procurement coverage |
At each twice-yearly review, move one weight, or two at most. The five-step framework for building an ICP scoring model covers the analysis behind those changes, and our account scoring worksheet gives you somewhere to draft each segment’s weights.
Where BoostIdeal fits
BoostIdeal is a scoring engine for accounts like these, working from HubSpot or a CSV you upload.
- The factor list and every weight are set by you. Segment, customers served, megawatts, and territory become factors with percentages that sum to 100. AI can help with the analysis of your data and a first draft, and a person settles the logic.
- It scores utility and operator accounts, and any other record. The same engine handles leads, contacts, accounts, and custom objects. Because a utility account can be scored on its contact count and those contacts’ job titles, coverage of operations, engineering, and procurement becomes a factor. One model per segment can run side by side.
- Each utility’s score shows its working. A utility’s score, out of 10, is written to HubSpot properties along with the factors behind it, so your own workflows, lists, and agents can act on it. As new filings and contacts land in your data, scores recalculate hourly by default, and in near real time with webhook sync.
BoostIdeal scores the data you bring. EIA files, commission filings, and permit records reach it through HubSpot or a CSV upload.
When it is not the right fit. If your utility and operator accounts are not in HubSpot and you do not want to work from CSV uploads, BoostIdeal is not for you. Nor does it suit a team that wants a vendor to hand over a number for each utility that it never questions.
Frequently asked questions
What is lead scoring for energy and utilities?
It ranks utilities, power producers, developers, and oil and gas companies so sales works the best ones first. The score combines fit, such as segment and size, with timing signals such as rate cases, resource plans, and permits.
Should I score energy leads or accounts?
Score the account first. A utility buys through a group, and the strongest signals, such as filings and capital plans, belong to the organization. Then score contacts to decide whom to reach.
How long is the utility sales cycle?
It varies by segment and deal size, so measure your own from first meeting to signed contract. Expect formal procurement, a security review, and a pilot before a rollout.
Where can I find public data for selling to utilities?
EIA’s Form EIA-861 covers electric utilities, including customers, sales, and service territory. Form EIA-860 and the monthly EIA-860M cover generators, planned and retired units included. State commissions publish rate case and resource plan dockets.
How is lead scoring for oil and gas different?
Size is production, wells, or rigs, and timing follows commodity prices and permits more than regulatory filings. State regulators such as the Railroad Commission of Texas publish drilling permit and production data.
How do I score renewable energy developers?
Size them by operating and pipeline megawatts, using EIA generator data and grid operator queues. Weight study progress, site control, and financing above presence in a queue, because a queue entry alone does not mean a project gets built.
The takeaway
Pick the segment, then the size measure that segment uses, then the filings that show money is moving. Build fit from segment, size, territory, and systems, and timing from rate cases, resource plans, generator data, permits, and RFPs. Count the roles you have reached, subtract what disqualifies, and check twice a year that your highest-ranked accounts are the ones that reach pilot and buy.