AI Digital Marketing Director
AI Marketing Director
A marketing partner that reads the data, makes the call, then takes action
Every day it combines results from every platform, explains what happened and recommends what to do next. A manager approves in chat, and the AI helps carry it out and reports back.
Pain Points
Plenty of data, little time to decide
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Disconnected data
Ads, web analytics, LINE and e-commerce each have their own reports, so the full picture is hard to see.
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Time lost to reporting
Marketers spend hours every day compiling numbers, leaving little time for strategy and creative work.
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A full team is costly
Content, media buying and data analysis all need people, which is hard for small and midsize businesses to staff at once.
Conversational decisions
A daily summary that proposes action
- Cross-platform summary: yesterday's results, changes and anomalies, explained in a few sentences.
- Concrete next steps: several recommended actions every day, each with its expected impact.
- The manager decides: approve in one tap, review item by item, or skip, right in Teams or Telegram.
The Loop
A closed decision loop from data to action
Data in
Connects results from ads, web analytics, LINE and other platforms, and watches continuously for anomalies.
AI analysis and recommendations
Summarizes the previous day and proposes concrete actions with their expected impact.
Manager approval
The manager reviews in chat and has final approval.
Execute and report
Once approved, it carries out low-risk actions, such as adjusting budget caps or pausing underperforming ad sets, and reports the results.
Why ESi
More than another optimization tool
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Chat-native
Managers review analysis and approve actions in the Teams or Telegram they already use, without logging in to a pile of dashboards.
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Closed decision loop
Analysis, recommendation, approval and execution flow in one sequence, with a full trail at every step.
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Lightweight data foundation
No need to build a large system first. Start by integrating the customer and performance data the AI needs, then expand into a full CDP later.
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Designed for trust
Clear permission levels and final human approval mean you never have to worry about AI overspending your budget.
Getting started
Step 1
Goals and data review
Understand your marketing goals, budget and current platforms, and confirm which data sources to connect.
Step 2
Connections and permissions
Connect ads, web analytics, LINE and other platforms, and set which actions can be executed and which can only be recommended.
Step 3
Training and pilot
Train your marketing team to give instructions, review recommendations and approve them; pilot with a real campaign and track results.
Step 4
Expand and operate
Gradually add email, push messages and content recommendations; ESi consultants regularly review recommendation adoption and results.
FAQ
Will the AI spend ad budget on its own?
No. Every action that affects budget needs a manager's approval. The range and limits of actions it may take are set together during implementation.
Do I need to implement a CDP first?
No. The AI Marketing Director integrates only the data it needs, so you can start quickly, and you can later expand to a full customer data platform as needed.
How is this different from the AI optimization built into ad platforms?
A platform's built-in AI only sees its own data. The AI Marketing Director takes a cross-platform view, compares results across channels, then makes overall recommendations.
Make daily marketing decisions faster and better grounded
Tell us which platforms you use and your marketing goals, and a consultant will assess the right way to get started.
Contact us
Leave your contact details and one of our consultants will get back to you shortly.
- Phone: +886-2-2515-5633
- Fax: +886-2-2515-6535
- Email: sales@esi-tech.net
