Most marketing agencies today consider AI (Artificial Intelligence) a resource. They do not find AI problematic to use. However, the repetition of tasks seems hectic to manage every day. The same follow-up emails and the same onboarding checklist. However, agencies can manage tasks effectively by capitalizing on AI marketing workflows.
Moreover, marketing agencies do not need one or a few AI-powered workflows. In fact, they need them in combination to manage daily operations effectively.
In this post, you will find information about ten 10 marketing workflow automations. Are you interested in knowing them? You may decide to use them for your own agency. Then, read this post comprehensively.
What Are AI Marketing Workflows?
Before we jump into the main topic of this blog post, it is important to understand what AI marketing workflows are. They refer to a repeatable process that turns inputs into actions and those actions into outputs to achieve a specific business outcome for marketing agencies. These workflows use AI agents (tools) across one or multiple stages of repetitive marketing tasks. Their benefits are manifold: Quick content creation, reduced costs, and improved productivity.
The Ten AI Workflows That Marketing Agencies Should Automate
AI automation workflows help marketing agencies manage tasks effectively. Statistics suggest companies that use AI workflows today see 30% efficiency gains, 20% fewer errors, and 15% higher customer satisfaction.Â
Moreover, the following ten are AI marketing workflows we suggest every marketing agency should automate:
1. Lead Inquiry Analysis and Categorization Automation
Marketing agencies can generate new leads through different methods, like forms, calls, and emails. Agency professionals will need to reach out to those leads. It helps marketing professionals understand the services those leads need. Later, they assess lead qualifications to categorize leads. Then, they determine the right person who communicates with leads. Managing this manually is time-consuming. For the same reason, agencies automate lead inquiry and categorization.
AI Workflow Automation Process: Step-by-Step
- The AI tool conducts inquiries about the leads.
- Then, it classifies leads based on the service type they need.
- Next, the AI tool assesses lead qualification. Later, it assigns a lead score for categorization.
- Then, the AI tool helps the right marketing person contact leads based on categorization before anyone else.
Real-world Scenario
A marketing agency generates 50 to 60 inbound leads per month. It uses an AI form setup to classify leads. It generates leads through paid advertising and organic search. The agency flags unclear or low-signal leads for manual review. These leads in a mail inbox are not ignored.
What stays human in this real-world scenario?
The following elements stay human for the real-world case related to lead inquiry analysis and classification:
- Final Qualification Call
- Pricing Discussion
- Proposal Decision
2. Client Reporting Automation
Creating client reports manually through tools like Google Analytics, CRM software, etc., takes a lot of time. Automating this process helps agencies save time instead of spending hours managing it manually.
AI Workflow Automation Process: Step-by-Step
- AI generates clients’ data automatically on schedule from data collection platforms.
- The AI tool uses a pre-built template to generate the client’s report from collected data.
- Finally, the AI tool creates a summary of the client report. What went well or badly? What it means.
Real-world Scenario
A marketing agency with 20 retained clients generates a report for the agency on the last working day of every month. An AI tool writes the summary in simple, easy-to-understand language for the agency. Then, the agency’s account manager reviews the report for strategic edits if needed, before sending it to the client.
What stays human in this real-world scenario?
The following elements stay human for this real-world case related to client reporting:
- Strategic Recommendations
- Client Relationship Context
- Unexpected Campaign Hike or Drop
3. Proposal and Scope Draft Generation Automation
Marketing agencies have to generate a proposal for every new client. The structure remains the same; the number can change. The division of services can change. Marketing professionals may spend hours on this work, which process automation can save.
AI Workflow Automation Process: Step-by-Step
- An automated brief intake form captures key details after prospects’ calls.
- AI tool drafts a scope proposal based on the client’s business type, goals, budget range, and needed services. It uses the agency’s standard format.
- Finally, the account manager reviews, edits, and approves the proposal and scope draft.
Real-world Scenario
A sales representative fills out a form, including 10 fields after every call. Then, a draft proposal lands in Google Docs within a few minutes following that, formatted with the following:
- Services Descriptions
- Deliverables
- Suggested Timelines
What stays human in this real-world scenario?
In this real-world case, the following elements stay human:
- Approved Pricing
- Strategic Drafting
- Final Draft Sending
4. Content Brief Generation Automation, at Scale
Every blog post and landing page of a client’s website needs a brief. It requires a targeted keyword and a content structure. It should also address the search intent and the audience’s problem. Manually, it can take writers more time to create it, so a marketing agency may choose to automate it, as mentioned next.
AI Workflow Automation Process: Step-by-Step
- AI tool researches the audience’s search intent based on the provided keyword and URL.
- Then, it creates headings from the top results it finds. It identifies content gaps as well.
- Finally, the AI tool creates a content brief with headings, subheadings, and word-count guidance by analyzing the top-ranking competitors’ content.
Real-world Scenario
A digital marketing agency produces 30 to 50 content pieces for clients. It produces content briefs via automation. It is the first step of the content pipeline. Editors review the prefilled (AI-automated) brief. Then, editors pass it on to writers for content creation. This improves writing consistency. It also speeds up the onboarding process for new writers.
What stays human in this real-world scenario?
In this real-world example, the following element stays human:
- Final Brief Approval
- Brand Voice Adjustment
- Link Strategy
5. Post-meeting Follow-up Automation
A marketing professional must send a follow-up email to clients after every call. In that email, the same professional summarizes the key points discussed, next steps, and documents shared in the previous call. This process can take 10 to 20 minutes. There is a possibility of the tasks getting delayed often. A marketing agency can automate this workflow to solve this problem.
AI Workflow Automation Process: Step-by-Step
- The AI tool in a marketing agency receives a meeting record. It may receive it through a tool like Google Meet or Zoom.
- Based on the meeting record, it extracts action items (specific to-do tasks) and agreed-upon choices (approvals). Then, the AI tool emphasizes them in the follow-up email to the client.
- The AI tool drafts the follow-up email in the agency’s tone. Later, an account manager reviews it before sending.
Real-world Scenario
A marketing agency must send a follow-up email to the client. It sends it every week after taking 8 to 12 calls. It automatically generates the meeting record. Then, an AI tool creates a follow-up email draft. It creates it based on the meeting record. Then, it shares it with the account manager. The whole process reduces the account manager’s time to under 2 minutes.
What stays human in this real-world scenario?
The following elements remain human in this real-world case:
- Reviewing Follow-up Email
- Tone Adjustment for Sensitive Conversations
6. Social Media Content Scheduling and Drafting Automation
Marketing agencies have to manage social media content for multiple clients. Producing the same content drafts like product highlights, customer testimonials, and seasonal content takes a lot of time. It takes longer than necessary to produce content that follows the same pattern. So, agencies can automate this process with an AI workflow.
AI Workflow Automation Process: Step-by-Step
- An AI tool first drafts social media posts for clients based on the content calendar and client brief.
- Then, the drafts go into a review queue.
- The agency approves the posts for automatic scheduling.
Real-world Scenario
A marketing agency manages social media content for 8 ecommerce clients with a pre-built content template. It is created every week on Monday. AI tool generates a social media content draft. It creates content per client based on the theme and product focus. The AI tool also creates the client brief. Then, the content coordinator reviews and approves the same posts. Later, posts are scheduled automatically. The agency uses a social media API for that.
What stays human in this real-world scenario?
The following elements stay human in this real-world use case:
- Creative Direction
- Social Media Campaign Strategy
- Clients’ Brand Voice
- Real-world Brand Judgment
7. Ad Copy Variant Automation
For paid media campaigns, the agency needs multiple copy variants for A/B testing. Writing 10 to 20 ad variants, including headlines and descriptions, is tedious and time-consuming for the agency’s copywriter. So, the agency automates this process.
AI Workflow Automation Process: Step-by-Step
- An AI tool generates headline and description variations with a call to action. It creates these for ad copy based on the given campaign brief, audience, offering, and brand tone.
- Then, media buyers select and test the ad copy variants.
Real-world Scenario
A PPC (Pay-per-Click) marketing agency runs Meta and Google campaigns for retail clients. The agency uses AI to generate 15-20 ad copy variants for every campaign launch. The media buyer selects the best variants to load into platforms like Google or Meta. Then, they see which converts best. As a result, the PPC agency manages ad copy generation in under an hour. It saves the agency time by not spending a half day.
What stays human in this real-world scenario?
The following elements stay human in the real-world case above:
- Brief Writing
- Strategic Decisions for Ad Offers
- Final Ad Selection
- Ad Performance Analysis
8. Client Onboarding Automation
Every new client triggers the same onboarding process for a marketing agency. The process includes collecting the signed contract, sending clients an intake form, and requesting access credentials. Following that, the client’s project is created. Next, follows a welcome call and internal brief completion. Overall, this process involves 6 to 10 manual steps across multiple tools. So, agencies choose to automate the process.
AI Workflow Automation Process: Step-by-Step
- After every contract signature, the marketing agency triggers an automated onboarding sequence.
- The client automatically receives the intake form.
- The client’s project is created in the PM (Project Management) tool. Right after form completion.
- Then, the client receives an access request template for their credentials.
- A welcome call invite automatically triggers. The client receives it.
- Then, the internal briefing generates automatically from the client intake form responses delivered through Internal Slack or email.
Real-world Scenario
A marketing agency uses HubSpot for a contract signature trigger, along with Notion and internal Slack. It manages multiple steps involved with client onboarding automation. New client data automatically flows into Notion, the Project Management board, and the internal Slack channels. So no one needs to copy information manually between these tools.
What stays human in this real-world scenario?
The following elements stay human for this case:
- Client Relationship Introduction
- A Welcome Invite Call
- Strategic Onboarding Process
9. Review and Testimonial Request Automation
Marketing agencies often forget to ask for client reviews or testimonials at the right time. When they remember, someone in the agency has to write a personalized request to the client, which happens inconsistently or not at all. So, automating review and testimonial requests makes sense.
AI Workflow Automation Process: Step-by-Step
- Once the marketing agency completes a project milestone or ends a client’s campaign, an AI-drafted review request triggers.
- An AI tool creates a personalized email tailored to the client name, project type, and outcome.
- Then, the responses are returned to the marketing or sales person for a follow-up.
Real-world Scenario
The agency’s CRM software notifies AI about the project. It notifies when the project closes. Then, AI drafts a testimonial or review request referencing the specific campaign. It drafts it using the data from the CRM software. The account manager reviews it and sends it to the client. The whole process helps marketing agencies increase client review collection rates.
What stays human in this real-world scenario?
The following elements stay human in this case:
- Client Relationship Context
- Response Handling
10. Competitor and Market Monitoring Automation
Both the marketing team and their clients want to know what competitors are doing. They want to know about competitors’ ads, landing page changes, and content updates. Manually monitoring across multiple competitors is not realistic. It consumes a lot of time. Hence, marketing agencies choose to automate the process.
AI Workflow Automation Process: Step-by-Step
- Marketing agency professionals use automation to monitor competitors’ strategies, such as landing pages, ad libraries, and content updates.
- AI weekly summarizes competitors’ changes. It emphasizes significant updates, too.
- Then, it delivers the competitor and market report to the agency’s account manager or directly to clients.
Real-world Scenario
A marketing agency manages a brand strategy for Software-as-a-Service (SaaS) clients. It scans 3-5 competitors per client. It helps the agency know about weekly competitor actions. The AI tool summarizes those changes, such as ad copy messages and content updates. Then, the account manager uses it to have monthly strategy calls with the clients.
What stays human in this real-world scenario?
The following elements stay human in the real-world case above:
- Strategic Interpretation of Competitors’ Actions
- Strategy Recommendations to Clients
- Client Advisory
10 AI workflow automation examples above are, of course, beneficial, but marketing agencies should use them efficiently. That is, they should use them responsibly to avoid AI cons, including ethical concerns and a lack of human touch.
Wrapping Up
Marketing agencies perform repetitive tasks frequently. Their manual handling takes a lot of time. Nonetheless, they can automate it with AI marketing workflows. To recapitulate and finish, the following are the ten AI workflows that every marketing agency should automate:
- Lead Inquiry Analysis and Categorization
- Client Reporting
- Proposal and Scope Draft Generation
- Content Brief Generation, at Scale
- Post-meeting Follow-up
- Social Media Content Scheduling and Drafting
- Ad Copy Variant
- Client Onboarding
- Review and Testimonial Request
- Competitor and Market Monitoring
Related FAQs Answered
Q1. What types of marketing tasks suit AI automation?
A1. A variety of marketing tasks suit AI automation. Mentioned below are some of the important ones in this respect:
- Inquiring about Leads for Their Classification
- Scheduling Calls with Clients
- Drafting Follow-up Emails
- Writing Content Briefs
- Generating Ad Copy Variants
Q2. Do marketing agencies need developers to implement AI automation workflows?
A2. In general, no. Many pre-built AI tools are available today. They require prompts to automate marketing workflows. However, marketing agencies may need a developer to implement AI automation for API integrations, CRM synchronizations, and AI classification layers.
Q3. How long does it take to automate a marketing agency workflow?
A3. The time it takes to automate a marketing workflow depends on the scope of the marketing tasks. For example, a marketing agency can build a lead inquiry and classification workflow in a week or two. However, a client onboarding or reporting workflow can take three to six weeks. The reason? The latter entails more steps.
Q4. Where should a marketing agency start automating tasks?
A4. A marketing agency should automate repetitive tasks that it performs often. For most marketing professionals, these tasks include client reporting and follow-up emails. Automating such tasks not only saves marketing agencies time but also reduces their management costs.
Author Bio
Alex | AI Automation & Workflow Architect With 10+ years in business automation and 5+ years building commercial AI workflows, Alex specializes in scaling solopreneur operations. As a former agency owner, every blueprint and prompt Alex shares is personally deployed, benchmarked, and execution-tested in live environments before publication.
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