META ads basics: how to understand what works and how to grow sales

Theory, examples and training memo for participants with AI prompts + key metrics with explanations for advertising evaluation.
ONLINE training, FREE. Registration required: https://forms.office.com/e/66PhHEe9SG

Training program:
– Tracking: Pixel + CAPI
How platforms see user actions and why advertising optimization doesn't really work without tracking.
– Campaign types in social media advertising
The universal logic Awareness → Consideration → Conversion is shown, which is repeated across all platforms, only the names differ.
– How to choose the right campaign and audience
A simple solution model is presented based on maturity stage, data volume, and business objective.
– Testing and why it is critically important today
As AI and automation (e.g., Andromeda-type solutions) reduce manual control, creative and message testing becomes a key driver of growth.
– How to understand advertising results and make decisions
You learn to read key metrics as a system to make it clear whether the problem is in the message, audience, creative, or web.
– Advertising planning: why you need to plan at least 3 months ahead
It shows how a structured testing → optimization → scaling cycle allows for stable growth of results.
– The impact of AI on advertising creation + practical application
It presents how AI accelerates ad creation, testing, and idea generation, and participants receive ready-made prompts for everyday use.

After training:
PDF prep – 5 main AI prompts + key metrics with clear explanations for advertising evaluation.

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About the lecturer:

I am Agnė Jakubynė - an experienced lecturer at "Coding School", working in digital marketing for more than 10 years and practically managing paid social media advertising and other digital marketing channels on a daily basis.
Agnė's main daily topics are: Meta advertising, email marketing, influencer marketing, performance marketing, and conversion optimization (CRO). In practice, this means data-driven decisions, constant ad testing, and building simple, clear systems.