EngageMKTG services cover the human and technical work around lifecycle decisions: choosing a measurable problem, connecting the systems, specifying custom logic and operating a reviewed sending program. They support the platform and applications while keeping strategy, permissions and business judgment with people.
Choose services when the missing piece is capacity, implementation or an operating model. Choose software when your team can own those responsibilities and needs reusable decision infrastructure. Many engagements combine the two, but the starting scope should name the workflow, the owner and the result that can be verified. A new integration is useful only when it supports a decision your team actually needs to make.
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Diagnose funnel constraints and define a Human+AI operating model with a measurable plan. Best for: SaaS, media and consumer teams deciding where AI belongs across acquisition, activation, engagement, retention and monetization. Begin here when the priority is unclear.
Connect source data, events, permission state and channel execution to the decision layer. Best for: teams with a defined application and an existing stack that needs dependable integration. The work translates a plan into a flow that can be inspected and tested.
Specify and implement decision logic when generic rules do not match the business workflow. Best for: teams with reviewed eligibility, timing or next-action requirements that extend beyond an existing planner. Baselines, stop rules and oversight belong in the specification.
Operate sending infrastructure, campaign deployment, monitoring and deliverability checks within an agreed service scope. Best for: high-volume teams that need ongoing operational capacity. Published monthly tiers and Billable Send definitions are explained on the service page.
Add a managed audience-activation layer to fresh, permissioned lead flow. Best for: lead generation businesses connecting content, declared interests, real-time events and revenue attribution. The page explains publisher-owned and client-owned models and public pilot pricing.
Deliver a reviewed workflow under the agency's client relationship and brand. Best for: agencies needing lifecycle infrastructure and operating support without rebuilding the backend for each client. Responsibilities and client access are agreed as part of the engagement.
Review data quality, sending conditions and the risks that should constrain the next step. Best for: teams that need diagnosis before adding volume, automation or integrations. It is a scoped review alongside the separate free List Health Audit entry point.
Strategy identifies the business problem and metric. Implementation connects the minimum data and channel interfaces. Custom logic adds reviewed rules where the standard application is insufficient. Ongoing operations monitors sending and keeps the agreed controls in use. An engagement can start at any stage if the earlier decisions and ownership are already clear.
Applications show the workflows these services support. Before expanding scope, agree on what is observed, what is estimated and who can approve a production change. A delivery log, a model forecast and incremental revenue are different forms of evidence; the measurement plan should preserve those distinctions.
Use the platform when your team can implement and operate the workflow; add services when you need strategy, integration, custom logic or ongoing operating capacity around it.
Implementation maps identity, permission and event data, connects the required channel interfaces, and validates the first scoped workflow with an owner, baseline and stop conditions.
Yes. The Agency White-Label Program supports agency delivery; client responsibilities, access and the operating scope are agreed before work begins.
Use public prices where a service page publishes them, including Managed Mailing Ops and Lead-to-Audience Engine; otherwise the work is scoped after discovery around requirements and access.
Review the sender requirements tracker, the List Revival playbook and the calculator. Bring your current workflow and measured constraints to the scope discussion, with sensitive customer data kept out of the first inquiry.