Skott: Lyzr’s AI Autonomous Marketing Agent vs. Traditional Marketing Strategies

Estimated reading time: 5 minutes

TL;DR

(If you’ve < 15 seconds)

This article compares Skott, Lyzr’s AI autonomous marketing agent, with traditional marketing strategies. 

By examining historical marketing trends, and future predictions, the analysis highlights Skott will be just another multi-agent that every marketer will use in their organization. 

Skott’s advantages in automating content creation, design, and social media management is just the start. The findings suggest a significant shift towards AI-driven marketing, promising increased efficiency and customization aka more agents like Skott.

Introduction

Marketing has evolved significantly over the decades. 

It was traditional methods in the 80’s, digital in 2000’s and now it’s AI. Google used the word AI 187 times in their presentation. It’s not only hot, people are freaking out if you aren’t using AI. 

Skott, Lyzr’s AI autonomous marketing agent, represents the latest innovation, integrating content creation, design, and social media management into a single platform. Let’s quickly look at how marketing strategies have evolved over the last 60 years.

Historical Evolution of Marketing Strategies

• Marketing in the 1960s: Relied heavily on print, radio, and TV ads. It was about mass marketing and brand awareness. Large corporations dominated the advertising space, investing heavily in media buys and broad-reach campaigns.
• 1970s: It evolved into print advertising. Newspapers, magazines, and billboards became super popular to promote their products.
• 1980’s: It was the introduction of digital marketing and direct mail. Companies started using computers for targeted marketing. Although still predominantly traditional, the first digital experiments began to take shape, paving the way for future innovations.
• 1990s: The internet emerged, and e-commerce started to take off. This led to the development of digital marketing strategies, including email marketing and online advertising.
• 2000s: This decade marked the rise of internet marketing and social media. Businesses began leveraging online platforms for wider reach. Search engines, social media, and email marketing became vital components of marketing strategies, offering more precise targeting and analytics.
• 2020s: It’s slowly become about all the other channels but the rise of Artificial Intelligence (AI) and Data Analytics. AI and data analytics have become integral to marketing, enabling more targeted and personalized campaigns.

So What are We Going to See in Marketing Post 2024:  

Well the theme is going to be → 

Hyper personalization. Agents. Automation. AI influencers. Lots of AI.

AI is going to integrate across all workflows. Companies are already using AI tools for content creation, content personalization, repurposing in different languages & personalization over landing pages and emails. Plus companies now want to hire AI influencers because they come at 1/10th the cost.

 It’s predicted the usage of AI in marketing will move from 5% in 2020 to 98% by 2030.

It’s an eventuality that AI is integrated into marketing & everyone’s skilled to use it. 

What Else Are We Going to See?

1. Shift from Mass Marketing to Targeted Marketing: Marketing has moved from broad, mass campaigns to targeted, personalized approaches.
2. Increased Focus on Digital Channels: Digital channels have become the primary medium for marketing, with a significant shift away from traditional print and television advertising.
3. Rise of AI Influencers: Influencer marketing has become a popular strategy, leveraging social media influencers to promote products and services.
4. Content Marketing in all forms: Content marketing has become crucial for building brand awareness and establishing thought leadership.

Our Autonomous Marketing Agent Skott is Disrupting The Future  

Well what is Skott?

Skott is an AI-powered social media marketer, blogger, and designer in one that effortlessly produces 1000’s of blogs and posts autonomously with no human intervention for 365 days a year.

1. Skott integrates content marketing, design, and social media management.
2. It automates processes, saving time and reducing costs. Skott’s AI capabilities allow it to generate engaging content, design visually appealing graphics, and manage social media accounts efficiently.
3. Real-time research with Perplexity, Google News & more
4. Can create content autonomously, everyday
5. Self-reflection capabilities to improve content
6. Has memory so new content is always iterative
7. Flat pricing model (unlimited usage)

But it has two massive advantages:

Skott runs autonomously. Skott is 1/10th the cost as it could do the job of 3 people in a company. Point being we aren’t trying to replace humans. We are trying to empower these folks so they can focus on connecting with people and creating great campaigns for their customers.

So How does Skott Affect Traditional Marketing?

The rise of agents will not just affect traditional ways of marketing but will even affect the way teams are formed and the way marketing is done. 

Comparison Table: Skott vs. Traditional Marketing Methods

Feature/Aspect	Skott (AI-Powered Marketing)	Traditional Marketing
Marketing Execution	Autonomous AI agents handle all tasks	Requires a team of marketers
Content Creation	AI-driven, automated, and continuous	Manually created by content creators
Focus of Marketers	Managing AI agents and strategic oversight	Day-to-day content creation, scheduling, and management
Content Volume	High volume, scalable across multiple platforms. 100’s of blogs/month.	Limited by human capacity and resources. 4-20 blogs/month
Cost Efficiency	Approximately 1/10th the cost of hiring a full marketing team. $1999/month	High costs due to salaries, benefits, and overhead. Content writer + Designer + $20,000/month
Channel Repurposing	Automatically repurposes content across 19+ channels	Requires dedicated personnel for each channel
Customization	Extensive customization options via AI	Limited customization based on human capacity
Real-Time Research	Integrated real-time research capabilities with Perplexity, Google News	Manual research required
Post Scheduling	Fully automated posting schedules across all channels	Manual scheduling or use of scheduling tools
Language Support	Multi-language support for global reach. Repurpose across 99+ languages.	Limited by the linguistic skills of the marketing team
Consistency	Ensures consistent brand voice and messaging across platforms	Variability due to different team members
Data Privacy	100% data privacy, runs locally on your cloud	Dependent on third-party tools and services
Scalability	Easily scalable with minimal incremental costs	Scalability is costly and resource-intensive
Performance Optimization	AI-driven real-time performance optimization	Requires manual monitoring and adjustments

What you gotta lose? Check out Skott, here is the demo. 

Book A Demo: Click Here
Join our Slack: Click Here
Link to our GitHub: Click Here