How to Use WhatsApp Broadcasts and AI for Better ROI: A Comprehensive Guide

1. AI-Driven Personalization: Use AI to segment your audience and send highly personalized and relevant broadcasts.
2. Timely AI-Enhanced Follow-Ups: Leverage AI to determine the best times for follow-up messages and to analyze customer responses for future interactions.
3. Continuous AI Analytics: Employ AI tools to continuously analyze the performance of your broadcasts and adapt strategies accordingly.
4. Adherence to Best Practices: Combine AI insights with WhatsApp’s compliance policies to ensure respectful and effective communication.
5. Integrating WhatsApp and AI into a Broader Strategy: Don’t rely solely on WhatsApp and AI. Integrate them into a comprehensive digital marketing strategy for synergistic effects.

If you are not comfortable with AI, you can still leverage WhatsApp broadcast for a good ROI.

1. WhatsApp’s Built-In Features

• WhatsApp Business API: Utilizes an opt-in policy encouraging new users to connect with your business.
• WhatsApp Click-to-Chat Link: This feature allows you to create a clickable link for your WhatsApp business number, making it easier for customers to reach out directly.
• WhatsApp QR Code: Similar to Click-to-Chat but in a scannable QR format. Ideal for offline and online platforms.
• WhatsApp Chat Widget: Integrates a chat feature on your website, directly linking to your WhatsApp business account.

2. Create a Newsletter

• Offer subscriptions for updates about your business and industry, encouraging users to register with their email and WhatsApp details.

3. Content Strategy

• Free Content: Blogs and glossaries to increase awareness and credibility.
• Gated Content: eBooks, reports, and whitepapers for detailed insights, in exchange for contact details.

4. Product Demos and Samples

• Entice potential leads with a ‘free taste’ of your product or service in exchange for contact information.

5. Engaging Workshops and Webinars

• Host informative sessions in exchange for registration, thus acquiring leads.

6. Social Media Utilization

• Leverage the extensive reach of platforms like Facebook and Instagram to gather leads.

7. Paid Social Media Ads

• Target specific demographics with sponsored ads to attract a relevant audience.

8. Chatbot Integration

• Use automated chatbots to engage users on social media, covering FAQs and product details.

9. Customer Referral Programs

• Encourage current customers to refer friends in exchange for exclusive offers.

Maximizing Returns with WhatsApp Broadcasts

Once you’ve built a robust list, it’s crucial to maximize the potential of WhatsApp Broadcasts. Here’s how:

1. Targeted Content: Ensure that your broadcasts are relevant and engaging. Personalize messages based on user behavior and preferences.
2. Timely Follow-Ups: Use the high open rates to your advantage. Send follow-up messages to keep the conversation going.
3. Measure and Adapt: Track the success of your broadcasts. Use insights to refine your strategy continually.
4. Compliance and Consent: Always adhere to WhatsApp’s policies and respect user consent for message receipts.
5. Integrated Marketing Strategy: Don’t rely solely on WhatsApp. Integrate it into a broader digital marketing strategy for maximum impact.

Conclusion

Combining WhatsApp Broadcasts with AI presents a powerful opportunity to enhance your digital marketing efforts. By smartly building a broadcast list and employing AI for personalized, data-driven communication, businesses can achieve a significantly improved ROI. Remember, the key lies in the strategic, innovative, and ethical use of these technologies to create meaningful connections with your audience.

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Latest Marketing Trends in December 2023

A Daily Chronicle of AI Innovations in December 2023

• Looking for innovative marketing strategies to promote diving courses!
  by /u/lmaglione7 (Marketing & Advertising) on December 7, 2024 at 4:33 pm

  Hi everyone! I’m a Global Markets Economics, Marketing, and Business Communication student, as well as a professional diver. I’m currently managing the marketing efforts for a diving club called 7sealuv, which aims to become a hub for scuba culture by combining diving activities with a strong social media presence. We offer diving courses, with theoretical lessons held in Lissone and practical sessions in Giussano (Italy). At the moment, our strategy includes: Instagram Reels to showcase immersive diving experiences; Collaborations with influencers in the diving niche; Daily tips & tricks to keep our audience engaged. As part of my studies and work experience, I’m looking for creative and innovative ideas to promote our courses, attract new students, and retain experienced divers. Suggestions around guerrilla marketing, VR/AR experiences, referral strategies, or anything unconventional are more than welcome! Your insights would be incredibly valuable for this project. Thanks in advance for your help! 🌊 submitted by /u/lmaglione7 [link] [comments]

• Where is the best place to do market for NSFW website?
  by /u/design_build_1 (Marketing & Advertising) on December 7, 2024 at 4:10 pm

  hey peoples, i want your know where can i do my NSFW website marketing. i have build this website like two weeks ago. i have only 50/60 clicks as per google search console. how can i do better marketing? yours suggestions would be helpful ! submitted by /u/design_build_1 [link] [comments]

• My first attempt at truly creating something with ChatGPT - AI Shopping Assistance
  by /u/Talhelfg (Artificial Intelligence Gateway) on December 7, 2024 at 4:07 pm

  Hey everyone! So, my idea was quite simple - 1. Get the Amazon product URL. 2. Query Amazon for similar products. 3. Let the AI choose the best offer or alternative. At first, it seemed like the simplest idea ever. However, AI still struggles with basic concepts that I find straightforward. For instance, if I search for “iPhone,” it will find a case and happily say, “I just saved you 99%!”. I’m trying to avoid using taxonomy, but I couldn’t get good results without explicitly telling the AI to ignore items like cases, screen protectors, and so on. Unfortunately, it couldn’t comprehend this on its own. I believe I’ve figured out most of the issues, but I’m still working on it. Please let me know if you find this useful. submitted by /u/Talhelfg [link] [comments]

• The history of ML reveals why LLM progress is slowing
  by /u/contextbot (Artificial Intelligence Gateway) on December 7, 2024 at 3:56 pm

  “Thanks to decades of data creation and graphics innovation, we advanced incredibly quickly for a few years. But we’ve used up these accelerants and there’s none left to fuel another big leap. Our gains going forward will be slow, incremental, and hard-fought. As Gary Marcus wrote last week, “scaling laws aren’t really laws anymore.” “Reviewing the history of machine learning, we can both understand how the field advanced so quickly and why LLMs have hit a wall.” Original Link: https://www.dbreunig.com/2024/12/05/why-llms-are-hitting-a-wall.html submitted by /u/contextbot [link] [comments]

• Whatsapp marketing?
  by /u/f0rty40 (Marketing & Advertising) on December 7, 2024 at 3:32 pm

  So basically I have over 3k contact numbers I want to send them a mass message with 2 links to download an app from the app store and Google Play. Here is what I want to know: - Who read the message but didn't click the link (So I can send them a message again to download the app) - Someone who received but didn't even open the message. - Someone who opened and downloaded the app. I can also use WhatsApp API and spend cash for the messages I want to track the engagement so I can personalize and track my contacts. Also a tool with a CRM integration would be epic. Does anyone know how to achieve this? submitted by /u/f0rty40 [link] [comments]

• How’s this for marketing? Lol
  by /u/fixthisone (Marketing & Advertising) on December 7, 2024 at 3:07 pm

  submitted by /u/fixthisone [link] [comments]

• One of the ULTIMATE examples of story telling, one of the GREATEST ads of all time by the legendary copywriter, John Caples.
  by /u/biz_booster (Marketing & Advertising) on December 7, 2024 at 2:52 pm

  submitted by /u/biz_booster [link] [comments]

• How to solve token exhausted problem in Vision Language Models
  by /u/Difficult-Race-1188 (Artificial Intelligence Gateway) on December 7, 2024 at 2:44 pm

  Representing a single image in current LVLMs can require hundreds or even thousands of tokens. This results in significant computational costs, which grow quadratically as input image resolution increases, thereby severely impacting the efficiency of both training and inference. To address this challenge, researchers conducted an empirical study revealing that all visual tokens are necessary for LVLMs in the shallow layers, and token redundancy progressively increases in the deeper layers of the model. To this end, they propose PyramidDrop, a visual redundancy reduction strategy for LVLMs to boost their efficiency in both training and inference with neglectable performance loss. Original Article: https://medium.com/aiguys/are-tiny-transformers-the-future-of-scaling-e6802621ec57 The below image explains pretty well about the redundancy. We can clearly see that by the time we reach the 16th layer, we see very few activations. https://preview.redd.it/gglh6kxij65e1.png?width=828&format=png&auto=webp&s=48d88664493f297d277e13cdab5a07522b1a33f6 Imagine this scenario: https://preview.redd.it/ukjnnn4kj65e1.png?width=356&format=png&auto=webp&s=f5b1be98a470f71214a8617ca31efd8c1adac8f1 You have a small fleet of birds flying in the sky. When we pass this image to our vision models. Most of the tokens will look like this: [Sky, Sky, Sky, Skye,……Bird, Sky…Sky… Sky] In short, the [Sky] token will be repeated so many times. I should have conveyed the [Sky] token once and that should have been enough, but that’s not the case with most current Vision Language Models. And to solve this problem researchers introduce PyramidDrop. https://preview.redd.it/d05bce3lj65e1.png?width=622&format=png&auto=webp&s=e47bcbfb77a5b494c7e1280767bb9a0e7abd2971 Information for answering the instructions. With the layer increases, the redundancy of image tokens increases rapidly. At layer 16, even preserving only 10% of image tokens will not cause an obvious performance decline. Notably, at layer 24, the model performance is nearly irrelevant to the image tokens, indicating that the model has already captured the necessary image information and the image tokens are redundant for the model now. Previous research on image token compression typically drops image tokens before passing them to the language model or uses a fixed compression ratio across all language model layers. However, redundancy is not consistent across different layers. Redundancy of image tokens is relatively minimal in the shallow layers and becomes progressively larger in deeper layers. Thus, uniformly compressing image tokens across layers may lead to the loss of valuable information in the shallow layers while retaining unnecessary redundancy in the deeper layers. LVLM (Large Vision Langauge Models) pays attention to most of the image tokens at shallow layers and the attention to different tokens shows a uniform pattern. On the contrary, in the middle of the LVLMs, the attention shows a sparse pattern and mainly focuses on the question-related image's local parts. PyramidDrop, which fully leverages layer-wise redundancy to compress image tokens. To maximize training efficiency while preserving the essential information of the image tokens, PyramidDrop divides the forward pass of the LLM into multiple stages. In the shallow layers, we retain a higher proportion of image tokens to preserve the entire vision information. At the end of each stage, it partially drops the image tokens, until nearly all the image tokens are eliminated in the deeper layers. This approach allows us to optimize training efficiency while maintaining critical information. https://preview.redd.it/ty1eylomj65e1.png?width=828&format=png&auto=webp&s=572932ba20b204a32deb7e7448cf616fff22f07e Not only does this technique make the Infernce faster for LVLMs, but in some cases, it even increases the performance. But then the question is how can a smaller model with the same architecture perform better? We know from other experiments that giving too much context to LLMs, actually leads to a decrease in the performance. This seems to confuse the model about what is actually important in a given token sequence. But I have my own hypothesis on this, based on the research I read on Mechanistic interpretability. The idea here is that if the model has too many parameters, it will go more toward memorization, but if I reduce the number of parameters, the model is forced to learn the abstractions instead of relying on memorization. As we see in the Grokking. The model starts with Memorization, and by the time it reaches the generalization, almost all the parameters go close to zero, except the ones that strengthen the generalized solution of that problem. submitted by /u/Difficult-Race-1188 [link] [comments]

• Leveraging decentralized technologies and AI
  by /u/CuriousActive2322 (Artificial Intelligence Gateway) on December 7, 2024 at 2:15 pm

  Leveraging decentralized technologies and AI can revolutionize automation across various industries. Business Applications of AI Agent Networks It can offer significant opportunities for businesses. For example, a company could develop a network of specialized AI agents tailored to specific departments. These agents might analyze market trends, optimize marketing strategies, identify sales leads, and deliver customer support—all with minimal human intervention. Such automation could fundamentally transform operations, allowing AI agents to handle tasks typically requiring human oversight. This shift has the potential to increase efficiency, reduce costs, and free employees to focus on strategic initiatives. Towards Fully Autonomous Swarms The ultimate goal is to enable fully autonomous multi-agent systems, or "swarms." These systems possess the following key characteristics: Self-Directing: Once initiated, the swarm autonomously pursues its mission without supervision. It can adapt its actions based on heuristic principles or specific mission parameters. Self-Correcting: The swarm detects and addresses errors—whether technical, strategic, or epistemic—without external input. Self-Improving: Over time, the swarm enhances its capabilities, learning from its environment and experiences. Multi-Agent Systems and Decentralization Multi-agent systems (MAS) are composed of interacting intelligent agents that solve problems beyond the capacity of individual agents or monolithic systems. Recent advancements, such as large language models (LLMs), have enabled sophisticated interactions among these agents, opening new research avenues. Integrating MAS with blockchain introduces decentralized AI systems, which offer unprecedented benefits: Data security: Blockchain ensures data integrity through tamper-proof storage. Trust and transparency: Immutable records on blockchain foster confidence in AI decisions. Distributed intelligence: Decentralized networks enable collaboration among autonomous agents, enhancing efficiency. Challenges in Centralized AI and the Need for Decentralization Centralized AI systems face several issues, such as vulnerability to data tampering, lack of data provenance, and potential bias in decision-making. Blockchain technology addresses these concerns by enabling decentralized, trusted, and secure data storage and transactions. Smart contracts further allow programmable governance for data sharing and decision-making among agents. Advantages of Decentralized AI Systems: Enhanced Data Security: Blockchain's cryptographic architecture ensures sensitive data remains secure. Improved Trust: Transparent decision-making processes recorded on the blockchain increase public confidence in AI. Efficient Collaboration: Decentralized systems eliminate reliance on central authorities, fostering collective decision-making. Optimized Resource Use: Blockchain-based decentralized systems ensure scalable, efficient storage and data management. Synergies Between Blockchain and AI: The convergence of blockchain and AI unlocks transformative potential across industries. Key benefits include: Transparency: Blockchain's immutable ledger provides an auditable trail of AI decisions, addressing concerns about the "black box" nature of AI systems. Data Security: AI leverages blockchain’s decentralized architecture to enhance security and detect threats. Scalability: AI optimizes blockchain performance by improving consensus mechanisms and transaction validation. Data Monetization: Decentralized marketplaces powered by blockchain enable secure data sharing, with individuals maintaining control over their data. Applications Across Industries Healthcare: Systems can use blockchain for decentralized medical records, while AI processes this data for predictive analytics and personalized care. Supply Chain: Projects can integrate blockchain for traceability and AI for demand forecasting and fraud detection. Finance: Platforms can crowdsource AI models using blockchain, democratizing investment decision-making. Education: AI-powered learning systems leverage blockchain for secure data management and personalized education plans. IoT Security: Blockchain-secured IoT devices, combined with AI for threat detection, ensure robust security and uptime. Energy Management: Blockchain-enabled peer-to-peer energy trading, optimized by AI algorithms, promotes efficiency and cost savings. Opportunities and Challenges Neural Networks and Blockchain: By ensuring data integrity and fostering decentralized collaboration, blockchain enhances neural network applications in sectors like healthcare. However, the computational complexity of blockchain remains a challenge for real-time operations. Machine Learning: Blockchain promotes secure environments for decentralized model training. Yet, scalability and privacy concerns must be addressed. Natural Language Processing (NLP): Blockchain can validate information sources for NLP applications like chatbots. However, challenges include synchronizing dynamic language models with blockchain's immutable structure. Integrating AI with blockchain has the potential to reshape industries, offering systems that are more transparent, secure, and efficient. While technical and regulatory challenges remain, ongoing advancements in both fields promise streamlined solutions that fully realize the transformative power of decentralized AI. submitted by /u/CuriousActive2322 [link] [comments]

• Italian Startup iGenius Partners with Nvidia to Develop Major AI System
  by /u/SmythOSInfo (Artificial Intelligence Gateway) on December 7, 2024 at 12:51 pm

  On Thursday, Italian startup iGenius and Nvidia (NASDAQ: NVDA) announced plans to deploy one of the world’s largest installations of Nvidia’s latest servers by mid-next year in a data center located in southern Italy. The data center will house around 80 of Nvidia’s cutting-edge GB200 NVL72 servers, each equipped with 72 “Blackwell” chips, the company’s most powerful technology. iGenius, valued at over $1 billion, has raised €650 million this year and is securing additional funding for the AI computing system, named “Colosseum.” While the startup did not disclose the project's cost, CEO Uljan Sharka revealed the system is intended to advance iGenius’ open-source AI models tailored for industries like banking and healthcare, which prioritize strict data security. For Colosseum, iGenius is utilizing Nvidia’s suite of software tools, including Nvidia NIM, an app-store-like platform for AI models. These models, some potentially reaching 1 trillion parameters in complexity, can be seamlessly deployed across businesses using Nvidia chips. “With a click of a button, they can now pull it from the Nvidia catalog and implement it into their application,” Sharka explained. Colosseum will rank among the largest deployments of Nvidia’s flagship servers globally. Charlie Boyle, vice president and general manager of DGX systems at Nvidia, emphasized the uniqueness of the project, highlighting the collaboration between multiple Nvidia hardware and software teams with iGenius. “They’re really building something unique here,” Boyle told Reuters. Source: Abbo News submitted by /u/SmythOSInfo [link] [comments]

• If AI becomes highly advanced, could it develop its consciousness and desires?
  by /u/Imagine-your-success (Artificial Intelligence Gateway) on December 7, 2024 at 12:22 pm

  submitted by /u/Imagine-your-success [link] [comments]

• How do I gain marketing creativity as someone with no experience?
  by /u/Thepeebandit (Marketing & Advertising) on December 7, 2024 at 12:19 pm

  Hey everyone! I genuinely think good marketing/sales skills is one of if not the most important skills one can have, I come from a Software Engineering background but I want to know if there is anything I can read or study to become a decent marketer, or someone I can follow and be inspired by, or the best way is to just do and see what works. I always see creative social media content that people come up out of nothing and it always amazes me as I feel I am not a creative person but I would like to be. Is this sort of creativity something I can hone or is it just something these genius marketers are gifted with? submitted by /u/Thepeebandit [link] [comments]

• Did you learn SEM when earning your marketing degree?
  by /u/cidxo311 (Marketing & Advertising) on December 7, 2024 at 11:34 am

  Bonus if you say what country you got your degree in submitted by /u/cidxo311 [link] [comments]

• Spanish content
  by /u/Double_Dig8232 (Marketing & Advertising) on December 7, 2024 at 11:21 am

  Hey I’m a person that learned Spanish and speaks it fluently. Yesterday I started my account and made a video introducing myself. On youtube I gained 23 views and even a subscriber that commented and wished me well. On instagram not a single view. I want my content to be around how to learn Spanish and Latin-American culture. Though I will switch countries a lot of times for example talking about Mexico once and other time about Colombia. Though the audience is a whole other country. Which means to get a lot of engagement I would have to engage always another country. Is this viable and hard to achieve? And how I could I always get another country engaged? submitted by /u/Double_Dig8232 [link] [comments]

• An early Christmas present from my father…heard many good things about Kotler! Are there any other interesting famous people in the Marketing industry I could read on? Any other good textbook recs? 😛
  by /u/ShiverMeTimbers_png (Marketing & Advertising) on December 7, 2024 at 10:21 am

  I am studying Marketing next year at University…i am very much a baby in this field! I am 17. So any words of wisdom for the industry are very appreciated as well! submitted by /u/ShiverMeTimbers_png [link] [comments]

• Let’s talk digital products.
  by /u/Rare-Ad6166 (Marketing & Advertising) on December 7, 2024 at 9:53 am

  I created digital products for people with busy time who still wants to get fit and look good.(Basically a planner) I already have a page on tiktok. It gets 200-600 views per post. For a marketer, I think thats good. Right now, I’m just sharing content with value. I haven’t launched the product yet. What are some tips you could give me? submitted by /u/Rare-Ad6166 [link] [comments]

• Best Tools for Identifying Website Visitors in Outbound Marketing?
  by /u/subhankar_pal (Marketing & Advertising) on December 7, 2024 at 9:44 am

  I manage a small B2B SaaS company, and I’m trying to get a clearer picture of who’s visiting our website. Are there any tools that can identify visitors and provide useful info like company details or contact info? I’d love to know what others are using to turn website traffic into quality leads submitted by /u/subhankar_pal [link] [comments]

• Shorts automaton.
  by /u/Jaxondevs (Artificial Intelligence Gateway) on December 7, 2024 at 9:05 am

  Hello r/ArtificalIntelligence , I was wondering if any of you amazing people will know a tool like the one below that doesn't use open ai, ChatGPT because I do not have a API funding, I would like something I could host or the ai API be free, if it is a easy code edit I would be willing to do it but thank your for the help and sorry if I sound dumb. https://github.com/RayVentura/ShortGPT submitted by /u/Jaxondevs [link] [comments]

• Has anyone used "Do Browser"? Looks promising
  by /u/sarrcom (Artificial Intelligence Gateway) on December 7, 2024 at 8:51 am

  Video here. Their website here. It's still under development, but apparently it can reply to emails, order pizza, and more. I'm not related to them in any way. submitted by /u/sarrcom [link] [comments]

• 182k instagram page available for sell
  by /u/miteshsutharr (Marketing & Advertising) on December 7, 2024 at 8:47 am

  Hello guys i have highly profitable Instagram page , i want to sell it as i have to pay tution fees submitted by /u/miteshsutharr [link] [comments]