Billing, usage summaries, program participation and outage history joined around each premise and customer, so program, service and communications teams target the right households.
Data Cloud, which Salesforce now also calls Data 360, helps utilities, competitive energy retailers and energy service providers combine what they know about a customer and premise: account and billing details from the customer information system, usage summaries derived from meter data, participation in efficiency or demand response programs, outage history and digital engagement. Those combined profiles drive segments for program marketing, proactive service messages and account management, activated through Marketing Cloud, Service Cloud or Sales Cloud. The customer information system stays authoritative for billing, and raw interval data stays in meter data management, with only the summaries teams need brought across.
Energy is unusual because the relationship is anchored to a premise as much as a person. Customers move, landlords and tenants share responsibility, and commercial accounts span many service points. Usage data is also enormous and sensitive, and many state regulators restrict how customer energy data may be used or shared. Data Cloud adapts by modeling premises, service agreements and customers as related profiles, and by ingesting calculated usage features rather than every meter read. It is a good fit for program marketing and proactive communications. It is a poor fit as an analytics warehouse for grid operations, load forecasting or rate design, which belong in engineering and analytics platforms built for time-series data at that scale.
Efficiency rebates, heat pump incentives, time-of-use rates and income-qualified assistance each have eligibility rules tied to premise type, usage pattern and past participation. Data Cloud can combine those attributes into segments of likely eligible customers who have not yet enrolled. Program managers get cleaner audiences, and customers receive offers that actually apply to their home or business, instead of broad mailings they cannot use.
A sudden jump in usage often produces an angry call after the bill arrives. Calculated insights comparing current usage summaries with a customer's own history can trigger a proactive message before the billing cycle closes, pointing to budget billing, energy tips or a service visit. Contact center agents see the same insight if the customer calls anyway, so the conversation starts with an explanation rather than a dispute.
During planned maintenance or storm restoration, communications teams need accurate lists of affected customers with their preferred channels and any medical or life-support flags. Combining outage management events with customer profiles lets teams send timely updates, prioritize sensitive customers for personal contact and reduce the inbound calls that swamp service lines during an event, when every representative is already stretched.
Key account managers serving commercial and industrial customers need a single view across every site they serve: consumption trends, program participation, open service requests and contract renewal dates. A unified account profile in Sales Cloud gives managers that picture before each review meeting, helping them suggest demand response, efficiency projects or rate options that fit the portfolio rather than a single building.
The first decision is the relationship between customer, account, premise and service point, because billing systems model these differently and moves create orphaned histories. Next, decide which usage features to calculate upstream, such as monthly totals, peak timing or seasonal change, instead of loading raw interval reads. Program participation needs its own records with enrollment and completion dates. Flags for medical necessity, disconnection protections and third-party authorizations must come from the authoritative system and control activation. Finally, define data spaces for regulated and competitive affiliates if the organization has both.
Supplies accounts, premises, rates, billing history and protected-customer flags, and remains the authoritative source for anything a customer is billed or legally owed.
Provides aggregated usage features calculated from interval reads, giving Data Cloud the patterns needed for alerts and eligibility without storing every read.
Sends outage events, estimated restoration times and affected service points so communications reach the right customers through their chosen channels during restoration.
Many states limit how utilities use and disclose customer usage data, especially with affiliates or third parties. Review commission rules and your tariff with regulatory staff, document permitted uses for each data element, and enforce them in data spaces and activation targets.
Where a parent owns a regulated utility alongside a competitive retail affiliate, codes of conduct typically restrict what customer data can pass between them. Design separate data spaces from the beginning, and confirm with compliance that no segment built from utility data reaches an unregulated sales team.
Loading raw interval data into a customer platform is expensive and rarely necessary. Agree with analytics teams on the small set of usage features programs and service actually use, calculate them upstream, and revisit the list as new programs launch.
Client names are anonymized.
It can ingest large volumes, but raw interval reads are not a good use of a customer engagement platform. We recommend calculating usage features in meter data management or an analytics platform and bringing those into Data Cloud. That keeps costs predictable and gives program and service teams the signals they need without duplicating a utility's time-series infrastructure.
Often more so than for regulated utilities, because retailers compete for customers and need renewal, switching and win-back insight. Retailers can combine enrollment, contract end dates, usage summaries and digital engagement to prioritize retention offers. Rules on marketing, enrollment verification and consent still vary by state, so compliance review stays part of every segment design.
Data Cloud can identify customers who may qualify based on permitted attributes, such as participation in assistance programs or payment arrangements, and support outreach through preferred channels. Eligibility determination should follow program rules and verification steps. We design those audiences with regulatory and program staff so sensitive attributes are used only as your commission and policies allow.
It is not a replacement for the customer information system, meter data management, outage management, a geographic information system or grid analytics platforms. It adds value on the customer engagement side, where combining those sources improves outreach and service. Projects go wrong when it is expected to serve engineering, settlement or rate case analysis workloads.
One onshore team with 150 Salesforce certifications, a Salesforce Consulting Partner since 2017.
A monthly brief for the people who own Salesforce, AI and revenue technology
What changed in Salesforce and AI this month, and what to do about it.
One email a month. Written by the consultants who deliver the work, not by a marketing team, for the leaders who make the technology decisions.
Consultant analysis, not vendor recaps. One click to leave.