Traditional social media marketing methods have largely lost their organic appeal. Algorithms that prioritize personal content over business content have made it difficult for businesses to reach their audience without paid advertisements. This has significantly reduced the effectiveness of social media postings, hindering their potential for social virality.
Previously, brands could leverage user-generated content (UGC), smart hashtag usage, regular stories, and frequent interactions with followers to boost their social numbers. But now, they are forced to pay significant amounts to platforms like Meta to recapture their audience’s attention.
The idea of a post becoming viral due to organic engagement is increasingly becoming a thing of the past. As social virality now appears to be tied to financial investment into the platform’s advertising system.
So, what’s the solution in this seemingly hopeless war against the odds?
AI Powered Social Virality Strategy
AI can provide a plausible solution to this problem. We’re not talking about a one-size-fits-all software here, but a sophisticated system developed over years by mathematicians and data scientists.
The result is astonishing: a system that can push your content into the viral flow of the biggest social media platforms.
CASE STUDY
Background
A lifestyle brand in the luxury segment approached us to get help with their international expansion.
They already had a solid follower base, but growth was really slow and required a huge effort from the team. An in-house social media manager and a small agency were working on this.
Our approach
We started with an audit of their social media, then crafted a tailored growth strategy for their branding goals.
They wanted to :
- seem more serious, which meant they needed more followers.
- have better social proof, which meant they needed more engagement.
- have more sales from social media, which meant they needed better and more engaging content.
Results
After we found a solution to each of these pain points within four months, they saw a rise in engagement and, eventually, a 50% increase in sales. That’s what we call social virality.
Tap to large image
How It Works?
#1 AI Assesses Potential for Social Virality
AI evaluates a given post’s likelihood of becoming viral based on various factors (like content, engagement metrics, timing).
- If the system determines that the post is likely to go viral, it steps back and allows the post to grow organically. This natural social virality often comes from real users sharing the content, engaging with it through likes and comments, and spreading it across their personal networks.
Continual Monitoring: AI continually monitors the post’s performance. If the performance is underwhelming despite initial social virality potential, the AI then boosts the post to increase its reach.
- On the other hand, if the AI system determines that a post is not likely to go viral organically, it doesn’t simply let it fade away. Instead, the AI kicks into high gear and starts to artificially boost the post to mimic organic social virality. This process is complex and multi-faceted.
In addition, the AI system specifically targets users who are likely to be interested in the content. This is based on the user’s previous engagement, interest areas, and other behavioural data. This ensures that the post is being shown to an audience that is more likely to interact with it and pass it along, contributing to the social virality.
#2 AI Scrutinizes Post Elements
Image Analysis: The AI system conducts a comprehensive analysis of the image in the post. It looks beyond just the primary subject of the image to explore its nuances. This involves analyzing factors such as color palette, composition, and visual elements, and also determining whether the image has any emotional appeal or if there are cultural references or trending topics depicted.
This complex, multi-level analysis allows the AI to understand the various elements that might resonate with the audience or trigger their engagement, and thereby increase the potential for social virality.
By identifying and capitalizing on these engagement triggers, the AI is positioned to craft and promote content in a way that amplifies its reach, interaction, and shareability – all fundamental factors in achieving social virality.
Description Review: The AI doesn’t stop at the image; it also reviews the description accompanying the post. This involves a detailed examination of the text, where the AI looks for keywords or topics that might be currently trending or have a broader appeal.
It also checks for optimal hashtag usage and emoji use, as these elements can further enhance visibility or engagement.
Comment Generation: The AI leverages the insights derived from the image analysis and description review to generate comments that foster engagement and discussion driving a step closer to achieving social virality. This goes beyond merely responding to other comments; the AI also initiates conversations based on the account’s bio and the post’s content.
For example, if the post is about a new seasonal fashion collection, the AI might generate comments like, “Love the color palette! What’s the inspiration behind this collection?” or “The textures look stunning! Can you share more about the materials used?” These AI-generated comments can spark meaningful conversations, encouraging more users to participate and further driving engagement.
#3 AI Assesses User Quality
Geographic Evaluation: To ensure the most effective targeting and engagement, the AI performs a geographic evaluation. This evaluation involves assessing where the account is primarily located based on the frequency of geotags, location mentions in the content, and the user’s stated location in their profile.
For instance, if the account posts are frequently geotagged to Paris, the AI could infer that it’s a Paris-based account. This geographic data is crucial, as it helps in understanding the cultural context, audience preferences, and even optimal posting times.
User Activation: Depending on the geographic evaluation, the AI adopts a targeted approach to activate users. This means that if an account is based in a western country like France, the AI would primarily target users in Western Europe. The advantage of this geographic-centric approach is that it can enhance relevance and engagement thus increasing the potential for social virality. Local users are more likely to understand the cultural nuances, language, and references in the content, thereby increasing the chances of engagement and sharing.
Additionally, aligning the user activation with the same time zone can also increase the visibility of the posts.
Consideration of User Interests: The AI also takes into account user interests. This evaluation is based on their past activity and interactions. The AI uses this data to build a profile of each user’s interests and preferences, which are then used to tailor the content that is shown to them.
For example, if the post is about fashion, the AI might activate users who have shown an interest in fashion brands, designers, or fashion influencers. Similarly, a post about a new vegan restaurant might be shown to users who often engage with vegan and health-related content. This interest-based targeting helps in increasing the relevance of the content for each user, leading to higher engagement rates.
AI-Driven user Segmentation
Conclusion
By leveraging sophisticated algorithms and extensive data analysis, it breathes new life into each post. Enhancing its potential to not just survive, but thrive in the bustling ecosystem of social media. This process elevates the chances of each piece of content achieving social virality.
As a direct consequence, this will pave the way for increased engagement rates as the content becomes more aligned with audience preferences, and the platform’s algorithms favor the enriched posts. A broader reach will be achieved as the AI-driven system understands and activates the right audience segments, pushing the content far and wide across the platform.
This, in turn, can lead to a significant growth in follower numbers, as the high-quality, relevant content and increased visibility attract new users to the account.
Want to make your content viral with AI and boost your chances of social virality? Let’s chat!
