Ai & Tools
AI virtual agents explained: how businesses use AI to scale
Everyone has a secret, especially if they work in the business industry. Maybe you saw how a lot of industrie improve their work and achieve better results in a short time; it´s not that they necessarily invest more, all they did was use AI virtual agents.
An AI agent is an effective system that makes every conversation easier. You can forget about responsive time, delayed tasks, or lose any opportunity. It´s the best ally to complete your teamwork and optimize any process.
I know that today this is not news; more than 80% of businesses use it in 2026, but its popularity is for a reason, and if you are here, it’s because you want to know more about it.
Implementing a new tool is a big responsibility, and because of that, I explained to you what this tool is and all its benefits for your business. Let´s start!
What are AI virtual agents?
When people talk about a virtual AI assistant, they often think of bots that offer various answers. In reality, they are much more than that.
We’re talking about intelligent tools that can understand customer queries, identify key answers, manage necessary information, handle any strategic task, and reduce a lot of work time.
I know how important it is to understand a tool before implementing it, so I’m explaining what it is with the help of Lindy’s excellent blog.
Definition and core capabilities
A virtual AI assistant is a software system that exclusively uses artificial intelligence to understand customer language, respond to any processed query, and manage necessary routine tasks.
You can find it with the names of AI agent, AI digital assistant, and virtual customer service agent, but all af this refer to the same tool.
It is an excellent tool that operates across different business systems with the primary capability of providing efficient customer support to improve customer connection and, in turn, reduce manual work to enhance growth opportunities.
AI virtual agents vs chatbots and automation tools
Although you may have been told at some point that they are the same thing, they are not at all. The distinction between the two is important, since AI agents are more flexible and intelligent.
Chatbots are programmed to respond in a specific way; that is, the user sends a specific message, and with the right words, the chatbot will be able to respond. Here’s the key difference: AI agents don’t need predefined answers.
Regardless of the type of writing (good or bad), they will be able to respond fluently and in a personalized way, as well as verify their history, check their previous actions, and provide personalized updates in real time.
Key technologies behind AI agents
We are referring to a virtual customer service agent that operates using key technologies such as:
- Machine learning to understand user needs.
- Natural language processing to provide personalized assistance.
- CRM integration for data management.
In addition to these two technologies, there is something else that sets it apart: its own memory. The agent can recall the customer’s history, allowing them to maintain consistency and dynamism in every conversation.
No matter how much time has passed, this technology can assist in remembering the specific incident that occurred with that customer.
How a virtual AI assistant works
The reason why many companies use this intelligent tool is mainly for the capacity to automate customer interactions, work without human supervision, and increase scalability.
These are the reasons, but they don´t explain how an AI digital assistant works. Let’s expand on this information with the help of Cognigy
Natural language processing and understanding
The AI agent is composed of different systems that enable the tool’s scope and operation. The first and most important is natural language processing.
This type of understanding connects with conversational AI, which can dialogue with customers and provide reliable actions with messages linked to human action, as they are completely personalized.
Data integration and decision-making
To understand customer needs and act strategically, it’s essential to consider their data. This information enables decision-making; in other words, the bot can identify what to do in seconds.
This integration is crucial for content generation and query resolution. This key feature is called Generative AI, which helps elevate your service and marketing.
Workflow execution across systems
You can also rely on an independent agent that can focus on achieving objectives and executing workflows across different systems.
This technology, which integrates the intelligent agent, is known as Agentic AI, creating seamless and optimized management 24/7.
Generally speaking, the intelligent agent will be focused on the actions you need. Rather than focusing on just one thing, it can interact with your team and optimize your company’s business and service weaknesses.
| Studies conducted in 2026 by Envive identified that large industries have witnessed an increase in their profits of 7 to 25% by effectively using virtual customer service agents, demonstrating their enormous capacity in the market. |
Benefits of using an AI digital assistant
Beyond their operational methods, companies worldwide continue to select AI agents thanks to the benefits they offer.
I want you to be 100% confident in what I say, so, together with the Zendesk blog, I’ll tell you about the benefits you’ll gain by integrating this tool in 2026.
24/7 availability and faster response times
While any conventional chatbot can offer constant availability, it can’t compare to what AI agents offer.This advanced technology meets current expectations, managing fully personalized responses in seconds.
According to various companies, it has been proven that 74% of customers expect real-time assistance, and this is precisely what intelligent agents provide.
Increased efficiency and reduced costs
Every company focuses on managing automated actions effectively and in the shortest possible time. Automation can handle many things, but it won’t achieve the same potential as an AI agent.
AI agents manage all actions based on the company’s objectives, allowing for greater business development and increased efficiency by handling 60% of requests.
Furthermore, when you allow a bot to take care of repetitive tasks, you can significantly reduce your costs and allow your team to enhance their sales potential.
Improved customer experience and personalization
To make any company stand out from the competition, it’s essential to offer the best possible experience. I know there’s often distrust surrounding AI, but in the case of AI agents, it’s unjustified.
The reality is that it offers a high degree of personalization in every action and enhances attention span and processing capacity, which undoubtedly leads to high customer satisfaction and a positive experience.
Furthermore, this isn’t just a tool for customers; it’s a valuable resource for teams, who feel incredibly satisfied being able to focus on productive tasks. In other words, happy employees lead to satisfied customers.
Key business functions powered by AI agents
At this point, it’s more than clear that intelligent virtual agents work to improve various business processes.
In general, it’s a tool that improves productivity and efficiency, so much so that a 2024 PwC study indicated that 84% of CEOs improved their work processes.
Now, let’s see exactly what these work processes are that are improved through their key business functions.
Sales and lead management
Intelligent agents are trained to automatically process your company’s sales. This means you can generate revenue at any time of day without human supervision.
On the other hand, they are capable of detecting opportunities; that is, they can identify prospective clients and nurture them through personalized campaigns.
After this, they perform constant and seamless follow-up to achieve better results and connect even more with them.
Marketing automation and engagement
The best thing these intelligent agents do is reduce the amount of manual work your team is subjected to. They do this by automating every marketing campaign.
Now, it’s not just that they send messages immediately; they are capable of assessing the environment, identifying opportunities, and acting strategically to ensure the success of every action.
In this way, they have extensive marketing engagement, creating actions that increase the satisfaction not only of customers but also of the teams themselves.
Customer support and service
The focus of this AI agent tool is to optimize customer service. They give exquisite support to identify the preference, the tone, and the urgency of the clients.
With this in mind, you end up working with a tool that brings better results on any part of your business, because it can make every operation fluent, and produce personalize answer that lead to the consumer objective and the company’s profit.
| According to statistics compiled by Grand View Research, the global AI agent market is estimated to exceed $10.9 billion USD in 2026, a considerable difference from 2025, which was $7.6–$7.8 billion. |
My opinion
While I dedicate myself to writing and producing SEO content for Kommo, the truth is that when researching tools that can benefit work teams, I realized that without a doubt, the best of all are AI agents.
Even as a market leader in conversational AI, we promote it, not simply to sell a product, but because it truly offers exceptional changes for any company that wants to scale in the market.
Furthermore, the numbers speak for themselves: according to Gartner’s predictions, by 2026, AI agents will contribute to a 25–40% decrease in resolution time and a 20–30% reduction in operating costs.
In other words, we’re talking about an excellent strategy that can improve how we work and optimize how work teams perform.
Final thoughts: challenges and best practices
I won’t let you go without giving you a word of caution. It’s nothing to scare you, but it’s important to know that this tool can present certain challenges, but nothing that can’t be solved with best practices.
Among the things I recommend are:
- Ensuring data quality and accuracy: Data is the most important information you’ll have. It’s crucial that before integrating your tool with AI, you can guarantee its quality and accuracy. This will prevent any errors with irrelevant data.
- Avoiding excessive automation: It’s normal to be excited about these types of tools, but don’t overload them. Be strategic and use AI only in specific tasks where it’s truly necessary.
- Maintaining human interaction: You absolutely must have the option for customers to communicate with a human representative. Not everyone will want to talk to a bot, and that’s perfectly fine.
Key Takeaways
- The AI agent is software that uses artificial intelligence to understand customer dialogues and process any necessary actions autonomously and in real time.
- It works thanks to the use of Natural Language Processing and Understanding, along with Conversational AI, Data Integration and Decision-Making, Generative AI, and Workflow Execution across systems with Agentic AI.
- Among the benefits are 24/7 availability and faster response times, increased efficiency and reduced costs, and improved customer experience and personalization.
- 84% of CEOs have improved their work processes thanks to the key business functions of agents, such as Sales and Lead Management, Marketing Automation and Engagement, and Customer Support and Service.
With nothing more to add, all that remains is to start selecting the best AI virtual agents on the market and experience all the integrated benefits to scale your company and achieve the expected success. Integrate it today!
Author: Carmen Figuera
Content Writer in Kommo. A literature lover who keeps her feet on the ground while her hands dive into a good book. With my imagination soaring, I create amazing content for Kommo!
Ai & Tools
Kepler-Group.ai Review: How AI Automation and Human Oversight Work in Parallel
For the most part, the financial industry has kept automated trading and personal brokerage in distinct lanes. Kepler Group is making an effort to put the two together in one execution environment, coupling rule-driven Kepler Group AI with the oversight of a human account manager.
This Kepler-Group.ai Review is an effort to see if such a hybrid model is more than just a marketing pitch and possesses real technical merit.
Based in Nyon, Switzerland, the platform offers CFD and cryptocurrency trading across forex, indices, commodities, equities, and digital assets through a proprietary web-based interface. The firm operates within a compliance architecture aligned with European financial conduct standards, reinforcing its standing as an authorised institution subject to ongoing operational review.
The Kepler Group AI processes market data in real time, while each client receives a personal European Kepler Group broker responsible for configuration oversight and risk alignment. Understanding how these two layers interact in practice is essential to evaluating the platform accurately.
How Does the Kepler Group Execute Trades?
The answer lies in the rule-based algorithms that are constantly at work scanning regional markets for the best entry and exit points. These are not predictive tools meant to tell you where a price is headed; they are optimisers for Kepler Group execution.
The Kepler Group AI routes orders in accordance with capital preservation and what the market depth and liquidity are showing on the Tier-1 European interbank registers.
If the system finds a match with the strategy set out in a client’s Activation Plan, the order is executed without intervention. There are volatility guardrails in place to put a stop to things if the market turns extreme. Take a cryptocurrency position: if a price spike goes over 15 per cent the Kepler Group automation will put an automatic hold on it until there is some stability.
In terms of speed, the low-latency network architecture provides Kepler Group execution in under 12 milliseconds. Orders are put through by Straight-Through Processing (STP) on a Non-Dealing Desk (NDD) basis so the broker is never the counterparty. The data comes straight from institutional clearing banks and regional hubs, removing any need for synthetic pricing.

The Role of the Dedicated Kepler Group Broker
A qualified European account manager from the Kepler Group is assigned for each client on the platform. This is not a reactive support agent that only responds to tickets; the Kepler Group broker has an active hand in the portfolio’s configuration.
The manager is there to see the initial system setup and Activation Plan through, and to make sure the client’s risk tolerance is in compliance with the Kepler Group AI parameters.
In effect, the supervision model is a verification layer. Before any automated strategy put forward by the Kepler Group AI is left to its own devices, the human manager has reviewed it to ensure it conforms to the plan the client has set. If the market turns or account parameters require some fine tuning, the Kepler Group broker can step in over the phone or via the desk chat.
There is a dual-layer logic to it all. It puts to rest the criticism levelled at fully automated systems where algorithms are allowed to make decisions devoid of human context, while also setting the platform apart from advisory services with no Kepler Group automation to speak of. With the right mix of technology and oversight, neither element is working in a vacuum.
Technical Execution Specifications
On the technical side, the infrastructure is built to institutional standards. Data transport is handled with AES-256 encryption and the dashboard is fed by real-time regional liquidity registers. The platform maintains 99.9% uptime thanks to the server architecture of dual-location European nodes and their synchronous failover.
Market data within the Kepler Group execution environment is drawn from direct Tier-1 interbank sources and run through the Kepler Group AI before it is shown. As this Kepler-Group.ai Review has confirmed, the company stands behind every price quote as being in line with European execution standards and fully auditable. For all CFD activity, negative balance protection is automatically in place.

What Does the Onboarding Experience Look Like?
There is no instant access here in the way one might find on a typical retail site. Registration at Kepler Group is a matter of due process. Personal details are put forward and then subjected to rigorous KYC and AML checks before a profile can be activated.
Only after that clearance does the designated Kepler Group broker make contact to put together an Activation Plan suited to the client’s risk parameters and capital objectives. The dashboard presents itself as a high-contrast analytical register, uncluttered and clean. There are no promotional widgets or blinking price tickers, nor any of the candlestick charts that are normal elsewhere.
The primary viewport is taken up by the Balance Register with its large typeface for net returns and active allocations. The Execution Core for buy and sell orders is right beside it, and a Risk Dashboard panel of its own keeps tabs on AI guardrails and protection limits.
Those used to the chart-heavy world of MetaTrader may need a moment to get their bearings on first use. Yet the lack of visual noise has the advantage of cutting down on decision fatigue. From the point of choosing a plan to monitoring the portfolio, the user journey is designed for the kind of Kepler Group execution clarity the platform insists on.
A demo account is not on offer. The company’s position is that synthetic simulations cannot be replicated to the depth of a real Tier-1 market. It precludes some risk-free exploration, to be sure, but it means system resources are channeled into live capital where the liquidity is authentic.
Deposits, Fees, and Withdrawal Protocols
This Kepler-Group.ai review shows that clients have three Activation Plans to choose from.
Standard (EUR 250) covers standard European core routing and comes with monthly electronic ledger reports and desk support. Premium (EUR 5,000) brings a private broker and bi-weekly certified audits, as well as priority AI overrides. Institutional (EUR 20,000) provides direct interbank clearing, an executive board committee and real-time auditable data via low-latency master core processing.
Fees are handled on a zero-hidden-cost basis. With fixed institutional spreads and no maintenance premiums or unlisted withdrawal commissions, all terms are laid out in full prior to activation, sidestepping the sort of frustrations one sees on rival platforms. The client dashboard is also the conduit for withdrawals to verified cards or European bank accounts.
Even the referral programme benefits from Kepler Group automation. An existing client will see 25% of re-deposits from a referred user come back as a quantitative commission rebate. Higher tiers of referrals open up VIP privileges and an educational suite, rewarding those who stick with the platform over time.
Regulatory Framework and Fund Protection
Client money is kept in segregated accounts at Tier-1 European banks, well apart from corporate funds.
Crypto holdings are put in offline multi-signature vaults with 98% cold storage. On the website there are the Client Agreement, Privacy Policy and other disclosures, ensuring alignment with European financial directives. This aspect of the Kepler-Group.ai Review confirms the platform takes regulatory transparency seriously.
To vouch for the integrity of the framework, independent European cybersecurity outfits carry out zero-knowledge penetration tests and regular external audits.
If the anti-fraud velocity scanning picks up anything untoward in an account’s access pattern, withdrawal vectors are frozen automatically. It is a security environment under the Kepler Group broker’s supervision and in line with the mandate to preserve capital.
Kepler-Group.ai Review: The Technical Verdict
The Kepler-Group.ai Review indicates a hybrid model that stands apart in the European brokerage market. Where the Kepler Group AI takes care of order execution and market scanning in under 12 milliseconds, the human Kepler Group broker offers a level of contextual oversight that a fully automated system would miss.

For an investor looking for institutional-grade Kepler Group execution and the accountability of a person behind the Kepler Group automation, this Kepler-Group.ai Review finds the dual-layer approach is more than a marketing line. It is the operational reality of the entire client experience.
Ai & Tools
What an AI assistant inside a people system still cannot do
A conversational interface can make a complicated people system much easier to approach. It can help users find information, phrase requests and start drafts, but increasingly it can also connect them with AI agents that carry out approved tasks and support multi-step workflows. However, the confusion begins when that convenience is treated as if the assistant has also taken over judgement, responsibility or the quality of the underlying data.
Conversation can help users find, phrase and act
A user may know exactly what they want to do but not know which menu, field or module holds the right information. Conversation removes some of that navigation work because the user can describe the outcome in ordinary language.
The same is true for drafting. If the user already knows the points that need to be included, an assistant can organise them into a clearer first version. The assistant helps with wording, but it does not decide whether the final message is correct or appropriate.
One example is SAP Joule, the SuccessFactors AI assistant. Within the broader Joule experience, AI agents can support and execute defined business tasks.
These uses have something important in common. Whether the AI is finding information, preparing content or coordinating an agent to carry out a task, it still operates within defined permissions, processes and business rules. The user or organisation remains responsible for the purpose and outcome of the work.
For an occasional user, that change can be significant. They may not remember the exact path through the system, but they can still explain what they are trying to find or prepare. The assistant can reduce that search effort without becoming the owner of the task.
That is more than an improvement to the interface. AI can now support execution as well as interaction, but the ability to perform an action does not transfer responsibility for the decision behind it.
Taking action does not move accountability
Approvals make the distinction easy to see. An assistant or agent may help initiate, route or execute parts of an approved process, but the authority to approve and the rules governing that decision still come from the organisation.
Judgement works the same way. A manager can ask for a summary or suggested wording, but the decision that follows still belongs to the manager. Natural language does not remove the policies, checks or responsibilities attached to that decision.
Data quality is another boundary. If a record is incomplete, duplicated or out of date, AI cannot reliably turn it into a correct organisational fact. A fluent answer can even make weak source data look more certain than it is.
This difference matters because a smooth conversation can make the whole process feel simpler than it really is. The visible friction is lower, so the remaining controls are easier to overlook. But a simpler interface does not make the decision itself simpler.
This is why successful execution should not be confused with autonomous decision-making. An agent may complete an authorised step or workflow, but the permissions, policies and accountability behind that action still come from the organisation.
What should an assistant be judged on?
A better test is to look at what can happen after the request. Can the AI use the right source data? Can it take an authorised action or coordinate the next steps in the system? Can that action be reviewed, and does it remain within the same permissions and controls that govern the underlying process?
Those questions are more useful than asking how many subjects the assistant can discuss. They keep the focus on what the assistant actually changes and what it leaves untouched.
The useful boundary is therefore not between AI that talks and humans that act. AI assistants and agents can increasingly support both interaction and execution. What they do not remove is the need for appropriate approval, human judgement, organisational accountability and reliable data.
That boundary does not make the technology less useful. It separates the ability to carry out work from the authority and responsibility for deciding what work should be carried out.
Ai & Tools
Best Social Media Wall Tools for Live Events in 2026
Live events thrive on participation. Attendees want to share photos, videos, opinions, and reactions—not simply sit and watch. A social media wall for events brings this activity onto a shared screen, turning social conversations into part of the event experience.
The best social media wall tools collect content from social networks, hashtags, mentions, and user submissions, then display selected posts in real time on event screens, LED walls, digital signage, and other displays. They can also help with moderation, branding, audience engagement, analytics, and user-generated content (UGC).
Whether you are organizing a conference, trade show, festival, corporate event, product launch, wedding, or hybrid event, choosing the right social wall software can help increase audience participation and extend your event’s social reach.
In this guide, we cover some of the best social media wall tools for live events, including Social Walls by Taggbox, Flockler, Juicer, Idukki, SocialWall Pro, and Everwall.
What Is a Social Media Wall?
A social media wall is a live digital display that collects and showcases social media content from multiple platforms in one place. Event organizers can typically collect posts using hashtags, usernames, mentions, profiles, or other content sources and display approved content on large screens.
For example, attendees at a conference can post a photo on Instagram using the event hashtag. A social media wall for events can collect that post, moderate it, and display it on a screen at the venue.
Social walls can be displayed on:
- LED screens and video walls
- TVs and event screens
- Digital signage displays
- Stage screens
- Exhibition booths
- Conference displays
- Virtual and hybrid event platforms
Beyond displaying social posts, modern social wall platforms can include UGC collection, moderation, analytics, polls, leaderboards, reactions, and other audience engagement features.
Why Use a Social Media Wall at Your Event?
A social wall can turn social media activity into a visible and interactive part of your event. Instead of keeping attendee conversations confined to individual phones, you can bring them into the physical event space.
Increase Audience Engagement
A live social wall gives attendees a reason to participate. When people see their posts, photos, or comments appearing on the big screen, they are more likely to contribute.
Encourage User-Generated Content
Events naturally generate valuable UGC. A social media wall makes it easy to collect and showcase attendee-created photos, videos, and posts throughout the event.
Create Real-Time Event Buzz
Displaying live social content makes the event feel active and connected. Attendees can see what other participants are saying and sharing in real time.
Increase Social Media Visibility
A branded event hashtag displayed throughout the venue can encourage more attendees to post and use the hashtag, helping extend the conversation beyond the event.
Improve Sponsor Visibility
Social walls can provide additional opportunities to showcase sponsor logos, branded content, announcements, and campaign messages alongside event content.
Make Events More Interactive
Many social wall tools now go beyond content aggregation. Features such as polls, Q&A, reactions, contests, and leaderboards can make a live social wall an active audience engagement channel.
Top Social Media Wall Tools for Events
There are many social media wall platforms available, but they differ in supported networks, customization, moderation, engagement features, analytics, and event-focused capabilities. Here are six tools worth considering for conferences, trade shows, festivals, corporate events, and other live experiences.
Social Walls by Taggbox

Social Walls by Taggbox is an event-focused social media wall tool designed to collect, curate, and display social content across live event screens and digital displays. It supports content aggregation from 15+ social platforms and can be used for conferences, trade shows, brand activations, virtual events, and hybrid events.
The platform combines social media aggregation with UGC collection, customization, audience engagement, analytics, and event display capabilities. Its SnapUp feature can also let attendees submit photos and other content through QR-code-based uploads.
Features
- Social media aggregation from 15+ platforms
- Live social media feeds for event screens
- Hashtag and user-based content collection
- UGC collection and display
- SnapUp QR-code content uploads
- Customizable themes and layouts
- Content moderation and filtering
- Real-time updates
- Audience engagement features
- Polls, reactions, quizzes, and leaderboards
- Sponsor and branded content placements
- Social wall analytics
- Event and digital signage support
- Virtual and hybrid event support
- 24/7 customer support
Benefits
- All-in-one event experience: Combine social walls, UGC collection, engagement, and live displays in one platform.
- More attendee participation: Encourage guests to share content and interact with the event.
- Flexible screen display: Publish social content across event screens and digital signage.
- Better event insights: Measure content performance and audience interaction after the event.
Flockler
Flockler is a social media aggregation and display platform that can be used to collect and showcase content at events and on digital screens. It supports multiple social platforms and allows teams to create walls, grids, carousels, and slideshows.
Features
- Multi-platform social media aggregation
- Social walls, grids, carousels, and slideshows
- Event hashtag feeds
- Custom submission forms
- Content moderation
- Custom branding and layouts
- Digital screen publishing
- Analytics
- Multi-user management
Benefits
- Multiple display formats
- Useful for events and digital signage
- Supports content moderation and filtering
Juicer
Juicer is a social media aggregation platform that combines content from multiple social networks into customizable feeds and social walls. It supports 15+ social channels and can be used to aggregate hashtags and social content for events.
Features
- Social media aggregation
- Hashtag aggregation
- Social media moderation
- Content filtering
- Customizable social walls
- Content curation
- Analytics
- Multiple feed layouts
Benefits
- Simple social media aggregation
- Useful for displaying event content
- Customizable social feed designs
Idukki
Idukki is a social media aggregation and UGC platform that can help brands collect social content and display it through customized feeds. It is suitable for businesses looking to bring user-generated content and social media posts together for marketing and event experiences.
Features
- Social media content aggregation
- UGC collection
- Social feed display
- Content moderation
- Customizable layouts
- Hashtag-based content collection
Benefits
- Helps collect attendee-generated content
- Useful for branded social displays
- Supports social content curation
- Can help showcase event conversations
SocialWall Pro
SocialWall Pro is specifically focused on creating social walls for live audiences and events. It supports event types such as conferences, trade shows, concerts, festivals, sports events, corporate meetings, and brand activations.
Features
- Social media aggregation
- Content moderation and filtering
- Customizable event templates
- Branding options
- Contests
- Sponsor promotions
- Event analytics
Benefits
- Designed for live events
- Supports gamification and contests
- Useful for sponsor-focused event experiences
Everwall
Everwall is an event-focused social wall platform designed to display real-time social content on event screens. It supports multiple content sources and provides tools for moderation, customization, announcements, polls, and leaderboards.
Features
- Real-time social media wall
- Multi-source content aggregation
- Hashtag and keyword monitoring
- Content filtering
- Manual moderation
- Custom layouts
Benefits
- Built for event experiences
- Real-time display capabilities
- Useful moderation and filtering tools
How to Choose the Best Social Media Wall Tool for Your Event?
The right social media wall software depends on your event format, audience size, display requirements, and engagement goals.
Before choosing a platform, consider:
Social Network Support
Make sure the tool supports the platforms your attendees actually use.
Real-Time Updates
For live events, content should appear quickly without requiring manual screen refreshes.
Content Moderation
Look for moderation and filtering controls so you can decide which attendee posts appear publicly.
Customization
Your social wall should match your event branding, including colors, logos, layouts, and backgrounds.
Audience Engagement
If interaction is a priority, consider tools with polls, Q&A, reactions, contests, or gamification.
UGC Collection
Features such as QR-code uploads can help attendees contribute content even without posting publicly on social media.
Analytics
Event analytics can help you measure social activity, participation, reach, and content performance.
Screen Compatibility
Check whether the platform works with your LED walls, TVs, digital signage, projectors, or event display setup.
Conclusion
A social media wall for live events can transform attendee posts and conversations into an interactive part of the event. Instead of letting social content remain on individual feeds, event organizers can bring it onto large screens where everyone can see, engage with, and contribute to the conversation.
Tools such as Social Walls by Taggbox, Flockler, Juicer, Idukki, SocialWall Pro, and Everwall offer different approaches to social aggregation, content moderation, customization, UGC, and audience engagement.
For event organizers, the best social media wall tool is ultimately the one that matches their event goals. If you need more than a basic social feed, look for a platform like Social Walls by Taggbox that combines live social media aggregation, UGC collection, QR-code uploads, event engagement, moderation, customizable displays, and analytics in one solution.
With the right event social wall, your audience doesn’t just watch the event—they become part of the experience.
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