# Which Adobe consulting services turn messy campaign data into actionable intelligence for lead scoring and sales alignment?

Hi G2 users, I've been exploring this specific problem area while putting together a roundup of Adobe consulting services, and campaign data-to-revenue alignment is where real divergence between partners shows up. The surface promise looks similar across the category. What varies is whether the consultant approaches lead scoring as a data-engineering problem, a sales-alignment problem, or both. That decision shapes whether marketing and sales actually end up using the same numbers. Three firms that come up most in this context: CS2, Marketing Automation Corp, and DemandGen.

CS2: Reviewer accounts describe CS2 building multi-factor lead-scoring models that incorporate account propensity to buy based on historical closed-won data, not just behavioral signals. The architecture is designed to be defensible to sales leadership. One reviewer describes moving from "stagnant manual methods" to dynamic, sourced lead feeds that sales actually trusts.
Marketing Automation Corp: Reviewers with duplicate-heavy databases and broken Marketo-Salesforce sync issues report that MAC resolves root causes before rebuilding lead management. One reviewer credits MAC with eliminating duplicates without losing leads in the CRM sync, which is the operational prerequisite for any scoring model to work reliably.
DemandGen: A reviewer who ran a Marketo migration with ten years of technical debt describes DemandGen as building a complete lead-scoring system, response tracking, and an attribution framework. The framing is that DemandGen "set an extremely high bar internally" that subsequent implementations and vendors were measured against.
Nomad Marketing: Reviewers describe Nomad launching new lead-scoring models that drove measurable outcomes in its retention program. One account at ChowNow credits the scoring model and retention programs built during a six-month engagement with driving 56% of H2 goals around feature utilization within the first two months of launch.
RevX: Reviewers specifically call out HubSpot reporting dashboards, lead scoring frameworks, and custom tracking mechanisms outside the platform as the work that gives marketing leaders confidence when briefing boards and sales leadership. One reviewer says their board slides are "always up-to-date" since RevX took over reporting.

For teams that have already tried to fix the data layer and are still getting pushback from sales on lead quality: at what point does the problem stop being a data problem and become a process alignment problem between how marketing and sales define a qualified lead?

##### Post Metadata - Posted at: about 2 months ago - Author title: Writer - Net upvotes: 1 ## Comments ### Comment 1 A scoring model is only as good as its closed loop, and that's the piece most orgs never build. The model is easy to stand up; feeding sales outcomes back to recalibrate it, which lead actually converted, is the hard part, and without that loop the score is a one-time guess that drifts as the market changes. The sales pushback you get on lead quality is usually a broken feedback loop, not a missing MQL definition, because a score that never gets corrected after the first batch of bad leads is one sales quietly stops trusting. ##### Comment Metadata - Posted at: about 2 months ago - Author title: Tech Consultant ## Related discussions - [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team) - Posted at: over 13 years ago - Comments: 6 - [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section) - Posted at: over 13 years ago - Comments: 0 - [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm) - Posted at: over 13 years ago - Comments: 4