/ 52 terms

Glossary

АБВГҐДЕЄЖЗИІЇЙКЛМНОПРСТУФХЦЧШЩЬЮЯ

A

  • A/B testing

    A/B testing is a marketing research method that compares two versions of a page or ad to determine which is better.

  • AI agents

    AI agents are autonomous programs that perform business tasks without human intervention. Lead processing, support, analytics - on autopilot.

  • API

    API (Application Programming Interface) - a set of rules that allows different programs to communicate with each other.

  • Artificial Intelligence (AI)

    Artificial intelligence is a technology that allows machines to analyze data and make decisions. How AI works in business.

  • Automation of business processes

    Business process automation (BPA) is the use of technology to perform repetitive tasks without human intervention.

B

C

D

  • Data Scraping

    Data Scraping (web scraping or parsing) is an automated process of collecting large amounts of data from websites using special programs or bots.

  • Deep Learning

    Deep Learning is a branch of machine learning that uses multilayer (deep) neural networks to solve complex problems.

E

F

  • Fine-tuning

    Fine-tuning is the process of retraining a basic neural network on highly specialized data to perform a specific task.

G

  • Generative AI

    Generative AI (Generative artificial intelligence) is a type of AI systems capable of creating new, original content (text, images, code, music) based on given prompts.

  • GEO (Generative Engine Optimization)

    GEO - Content optimization to get your brand cited by AI search engines like ChatGPT, Perplexity and AI Overviews.

  • Google Ads

    Google Ads is an advertising platform from Google for displaying ads in search, YouTube and on partner sites.

H

  • Headless Commerce

    Headless Commerce is the architecture of an online store, where the appearance of the site (Front-end) is completely separated from the server logic and database (Back-end).

I

L

  • Landing Page

    A landing page is a one-page site created with the sole purpose of converting a visitor into a lead or customer.

  • Lead Generation

    Lead Generation - the process of finding and attracting potential customers (leads) who have shown interest in your product.

  • LLM

    LLM is a large language model that understands and generates text. ChatGPT, Claude, Gemini are all LLM.

  • LTV (Lifetime Value)

    LTV (or CLV) is the total profit that the company receives from one client for the entire period of cooperation with him.

M

  • Machine Learning (ML)

    Machine learning is a subset of AI. Algorithms that learn from data and find patterns without explicit programming.

  • MQL (Marketing Qualified Lead)

    An MQL (Marketing Qualified Lead) is a potential customer who has shown interest in your product or content, but is not yet ready to speak directly with sales.

  • MVP (Minimum Viable Product)

    An MVP is the first working version of a product with a minimal set of features sufficient to be sold to the first customers and to collect feedback.

N

  • Neural Networks

    Neural networks are mathematical models and machine learning algorithms, the structure of which is inspired by the biological neurons of the human brain.

  • NLP (Natural Language Processing)

    NLP is a technology that allows computers to understand, interpret and generate human language.

  • No-Code Automation

    No-Code automation - building business processes without programming. Zapier, Make, n8n - connect services in an hour.

O

  • Omnichannel

    Omnichannel is an approach in marketing and sales that combines all communication channels (offline and online) into a single seamless experience for the client.

  • Open Source

    Open Source (open source code) is software whose source code is available for viewing, modification and distribution by anyone.

P

  • PPC

    PPC is an advertising model where you only pay per click. Google Ads, Facebook Ads are all PPC.

  • Programmatic SEO (pSEO)

    Programmatic SEO is a method of creating a large number (thousands) of SEO-optimized landing pages using templates and databases.

  • Prompt Engineering

    Prompt Engineering is the art of formulating requests to AI for a precise result. Learn how to write business prompts.

R

  • RAG

    RAG is a technology that allows AI to search your knowledge base for answers, rather than inventing them. Accurate answers without hallucinations.

  • Retention Marketing

    Retention Marketing is a marketing strategy aimed at retaining existing customers and stimulating repeat purchases.

  • ROI (Return on Investment)

    ROI is a financial indicator that shows the level of profitability or loss of investments.

  • RPA (Robotic Process Automation)

    RPA - automation of routine tasks with the help of software robots. Imitation of human actions in program interfaces.

S

  • SaaS

    SaaS (Software as a Service) is a software distribution model, according to which the client gets access to the program via the Internet by subscription.

  • Sales Funnel

    The sales funnel is the path that the customer takes from the first acquaintance with the brand to the purchase.

  • Semantic Search

    Semantic search is a data searching technique in which a search query aims to not only find keywords, but to determine the intent and contextual meaning.

  • SEO

    SEO - optimization of the site to get on the first page of Google. Organic traffic without pay per click.

  • SQL (Sales Qualified Lead)

    A SQL (Sales Qualified Lead) is a potential customer who has shown a clear intent to make a purchase and has been approved by the sales department for further work.

T

U

  • UX/UI design

    UX/UI design is the process of creating a user-friendly (UX) and visually appealing (UI) interface.

W

  • Webhooks

    Webhook is a technology that allows one application to automatically send data to another application in real time as soon as a certain event occurs.

  • What is Retrieval-Augmented Generation (RAG)?

    Retrieval-Augmented Generation (RAG) is an architecture that improves the quality of generative AI models by integrating external knowledge bases.