
MAILMACHINE turns your content file and brand details into a send-ready email package. The diagram below offers Email preparation and Package check scenarios, showing both successful preparation and what happens when a package fails its checks.
Inputs
How we work
Outputs
The engine provides the checked package for your team to review. Your email system sends the email.
The sample screen below shows email packages with their subjects, HTML, plain text and metadata, alongside package checks. This sample view uses illustrative data, not customer records or sending results.
The package awaits approval for use.
Checks are complete; sending is a separate step.
The package is not delivered before checks finish.
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Customer enquiries can arrive through a web form, WhatsApp or a phone call. When the source, responsible person and next action are recorded in different places, your sales team may struggle to see which enquiries are waiting.
A CRM keeps customer records, contact history and sales stages together. Our team connects these records to their marketing source so that you can examine which enquiries become opportunities and sales. Preparing an email package is only one part of this process.
Our team agrees definitions for new enquiries, qualified leads, quotes, won sales and lost sales with you. Each stage has an owner, transition criteria and a follow-up task. You can then examine the conversations that took place between a form submission and a sale.
The CRM holds relationship history; marketing automation uses those records to trigger tasks or communications. For example, our team builds workflows to remove someone discussing a quote from a general introduction series and move them to onboarding information after a sale. We plan the transfer of suitable sales records to advertising systems through offline conversion setup.
Where data and platform capabilities allow, our team includes lead scoring, segmentation and follow-up priority suggestions in the CRM work. Your sales team assesses suggestions against actual conversations and sales, and decides when to contact customers. These are not MAILMACHINE capabilities; the engine prepares email packages without AI. Our AI-supported digital marketing agency page explains the wider approach.
Our team includes communication permission records, retention arrangements and user access in the setup plan. We apply the data and consent conditions defined by your business to automation scenarios. Passing technical package checks does not establish permission to contact a recipient; the audience and sending decision are assessed separately.
We review your current system, customer records and sales team's working practices. Together we agree on platform selection, data fields, sales stages and approval responsibilities. Access and data requirements inform the work schedule.
Our team builds the approved CRM structure and connections, then imports the cleaned data. We trace test records from channel entry through assignment, quotes and sales outcomes. For workflows involving email, we check the MAILMACHINE package separately and test audience and trigger conditions in the sending system.
We run practical training using sample records and agree on system and support responsibilities. After handover, we review pending tasks, incomplete records and automation issues. Changes in follow-up practices are assessed separately from sales and revenue results.
FAQ
We can review your current CRM, pending enquiries and email preparation needs together in a free consultation. You can request a conversation through our contact form.
DijitalPi's team has over 20 years of experience across 125 countries and 15 languages and received the Stevie Awards 2019 European award.
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