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Multi-touch attribution models grounded in clean data, integrated with finance reporting, and trusted across the org.
End-to-end design and implementation of the marketing-to-sales workflow, lead routing, SLA enforcement, MQL definition, feedback loops.
Production AI workflows for content generation, with brand voice training, editorial review queues, and audit trails. Built on Claude or GPT.
Honest audits of marketing tools, with recommendations grounded in usage data and integration costs, not vendor sales decks.
Structured brand voice training for AI workflows, with editorial guardrails and review queues that scale content without compromising brand.
Salesforce + event platform integration covering registration, attendance, post-event nurture, and event-sourced pipeline attribution.
The patterns that come up in nearly every marketing engagement.
Marketing attribution is notoriously contested. Building a multi-touch model with the underlying data quality to support it is harder than most platforms make it look.
Leads that drop, MQLs that never get worked, the eternal marketing-sourced vs sales-sourced debate, most of this is solvable with the right workflow design.
Content needs keep growing. AI can raise your team’s output substantially, if the workflow, brand rules and review steps are set up first.
Many marketing departments have accumulated more tools than they can maintain. Many can be consolidated, integrated, or replaced, but doing so requires intentional architecture.
AI content generation makes scale easy and consistency hard. Brand-voice guardrails are no longer optional.
Events drive significant pipeline for B2B firms. Operating them well requires real workflow, not spreadsheets.
Each category represents a deep specialization with dedicated playbooks, accelerators, and experienced consultants.
Lead routing, scoring, suppression, list ops, and campaign infrastructure.
Multi-touch attribution, marketing-sourced pipeline reporting, and finance-grade analytics.
Account-based marketing platforms, intent data integration, and orchestrated outbound.
Brand-voice training, AI-augmented content workflows, and editorial governance.
Event platform integration, post-event nurture, and event-sourced pipeline tracking.
A free 30-minute working session with a consultant who has done this work before. You leave with a clear read on the right approach, whether or not you engage us.
Consultant-level analysis from the consultants delivering the work.
How to make Salesforce campaign attribution trustworthy: campaign standards, contact roles, Campaign Influence models, offline sources, reporting and a phase-one plan.
Read the full post →Predictable phases. Clear deliverables. No surprises.
One to two working sessions to map your current state, business goals, gaps, and constraints. We come out with a written scope document and recommendation.
Documented solution architecture, technical design, realistic timeline, and a transparent commercial proposal, reviewed with your team before any build.
Configuration, development, integrations, data migration, AI training, and QA, delivered in iterative sprints with weekly demos and adjustments.
Training, change management, hypercare support, and continuous improvement. We do not disappear after go-live. Most engagements continue into managed services.
Salesforce connects campaigns to the same customer and revenue records sales works from, which is the piece most marketing stacks lack. Marketing Cloud runs email, mobile, and journey orchestration, with Account Engagement serving B2B nurture and lead scoring. Data Cloud unifies profiles from web, product, and service data into segments marketers can activate. Campaign records in Sales Cloud tie responses to opportunities. AI features help draft copy, suggest subject lines, and build segments from plain-language prompts, while consent and preference data stays attached to each contact.
A marketer maps entry criteria, waits, decision splits, and exit rules in Marketing Cloud Journey Builder or an Account Engagement engagement program. Prospects who click a pricing email move down one branch, and those who go quiet receive educational content. When a prospect hits a scoring threshold, the journey creates a task for the assigned rep and ends.
Each webinar, paid program, or trade show gets a Salesforce campaign record with member statuses such as registered, attended, and no-show. Form fills and list uploads add members automatically. Because opportunities carry campaign influence, the team can later see which programs touched deals that closed, not only which ones generated the first response.
Instead of requesting a list export, a marketer builds a segment in Data Cloud from unified profiles: for example, customers who opened a support case recently and have a renewal approaching. The segment refreshes on its own schedule and is activated straight into Marketing Cloud or an advertising audience without a manual file transfer.
Account Engagement or Marketing Cloud assigns behavioral scores for page visits, downloads, and email engagement, and grades fit against the ideal customer profile. When both cross agreed thresholds, the lead syncs to Sales Cloud, assignment rules route it to the right owner, and a status field records whether sales accepted or rejected it.
Using the generative features in Marketing Cloud, a marketer requests subject line variants, body copy drafts, or a first pass at a segment definition described in plain language. Brand guidelines and a human review step stay in place. The approved variants go into an A/B test, and results inform the next send.
They serve different motions. Account Engagement is built for B2B teams with longer sales cycles, lead scoring, and tight Sales Cloud alignment. Marketing Cloud suits high-volume, multi-channel consumer or hybrid programs with complex journeys and mobile messaging. Some organizations run both. The decision should follow your audience size, channel mix, and how closely marketing activity must connect to individual sales opportunities.
Yes, through campaign influence, which links opportunities to the campaigns their contacts engaged with. Salesforce supports first-touch, last-touch, even-split, and custom models, depending on your edition and configuration. Accuracy depends on discipline: contacts must be attached to opportunities, and campaign membership must be recorded consistently. Attribution is a data quality project as much as a reporting one, so agree on the rules before building dashboards.
Data Cloud pulls customer data from many sources, including web behavior, product usage, commerce, and service history, into unified profiles. Marketers can then segment on signals that never lived in the CRM and activate those segments in journeys or advertising. It also grounds AI features in real customer context. It is most useful when a clear audience or personalization goal justifies the integration work.
Start where the risk is low and the volume is high: drafting subject lines and copy variants, summarizing campaign performance, and building segments from plain-language descriptions. Keep brand review and legal approval in the process for anything customer-facing. AI output is only as relevant as the data it can see, so clean profiles and clear consent records matter more than the prompt.
It depends on the product mix and program complexity. Marketing Cloud offers a lot of power, and some capabilities call for technical skills such as SQL or scripting to use fully. Smaller teams often do well with a focused set of journeys and templates plus outside administrative support. Our team, with 150 Salesforce certifications across U.S.-based consultants, can provide that ongoing help.
Implementation, integration, configuration, and managed services across the full Salesforce platform, from Sales and Service Cloud to Agentforce and Data Cloud.
Learn more →As a Gong services partner, we implement, integrate, and optimize Gong so revenue teams actually adopt it.
Learn more →Strategy and production AI, from use-case selection and governance to deployed agents on the platforms you already run.
Learn more →The systems, data, and rituals that make sales, marketing, and customer success operate as one revenue engine.
Learn more →Free 30-minute strategy session with a consultant who works with marketing leaders every week.
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