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

• Perplexity AI (and others): Confusion about which LLM model to choose
  by /u/Mavrokordato (Artificial Intelligence Gateway) on April 26, 2024 at 3:18 pm

  Hi, fellow AI experts. I currently have an API key for Perplexity AI. Even though I have a background in technology, I still can't understand which AI models are best for what purposes and where the differences lie. Perplexity has a short page listing available models that work with its AI engine but no explanation as to which does what best. I've spent hours testing them, but I'm still not sure which one to go for (I don't want to switch it every time). The models are: Perplexity: sonar-small-chat sonar-small-online sonar-medium-chat sonar-medium-online Open Source: llama-3-8b-instruct llama-3-70b-instruct codellama-70b-instruct mistral-7b-instruct mixtral-8x7b-instruct mixtral-8x22b-instruct Before that, I used GPT-4, which is a great allrounder, but these models don't seem like that. I use AI mainly for code-related questions and explanations (if GitHub Copilot doesn't satisfy my answers or I don't want to launch my IDE all the time to access it), translations, factual debates, and advisors. Pretty mixed, I'd say. With advisors, I mean things like giving it a prompt to act, for example, as a lawyer who knows a lot about the laws of, let's say, Germany. Some models respond to things I never even asked, others don't take my previous prompts into account, and some of them do a pretty decent job but aren't really good for other purposes. I hope you guys can point me to some resources where I can learn more about the distinctions of each of these models, the best use cases and so on, or shed some light on it in the comments. Your help would be much appreciated. I'd also be grateful if someone could explain to me in simple terms what exactly the parameter count and the context length mean from a user perspective. I have a general idea but no definitive answer. If it matters: I'm using TypingMind and set up Perplexity as a custom model. Bonus points if you can point me to an alternative since I'm not a huge fan of the interface design. macOS only, please. submitted by /u/Mavrokordato [link] [comments]

• Our plan on building a better tomorrow with Artificial Intelligence!
  by /u/unknownstudentoflife (Artificial Intelligence Gateway) on April 26, 2024 at 3:17 pm

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

• GPT4 prompts for Dalle-3: Deep image creation
  by /u/No-Transition3372 (Artificial Intelligence Gateway) on April 26, 2024 at 2:49 pm

  submitted by /u/No-Transition3372 [link] [comments]

• New GPT4 prompts for GPT-Teams and GPT Enterprise
  by /u/No-Transition3372 (Artificial Intelligence Gateway) on April 26, 2024 at 2:05 pm

  submitted by /u/No-Transition3372 [link] [comments]

• AD used AI to clone boss's voice
  by /u/baconisgooder (Artificial Intelligence Gateway) on April 26, 2024 at 12:24 pm

  This story is wild. I think we are going to keep seeing things like this. As an IT person, I'm not sure how I can go about even preparing our top Execs if this happens to them. https://www.thebaltimorebanner.com/education/k-12-schools/eric-eiswert-ai-audio-baltimore-county-YBJNJAS6OZEE5OQVF5LFOFYN6M/ submitted by /u/baconisgooder [link] [comments]

• Real-time Object Detection with Kinesis Video Streams and SageMaker
  by /u/krunal_bhimani_ (Artificial Intelligence Gateway) on April 26, 2024 at 10:39 am

  Imagine a system that can identify objects in live video feeds as they happen. This powerful capability is within reach using Amazon's Kinesis Video Streams and SageMaker. Kinesis acts as the data pipeline, ingesting the live video stream. SageMaker, the machine learning powerhouse, analyzes the video frames using your trained object detection model. The result? Real-time insights into what's happening in your video feed. This system is perfect for applications like security monitoring, traffic analysis, and even industrial automation. https://www.seaflux.tech/blogs/live-recognition-system-using-Kinesis-and-SageMaker submitted by /u/krunal_bhimani_ [link] [comments]

• NLP Platform Showdown: Google vs AWS vs IBM vs Azure
  by /u/krunal_bhimani_ (Artificial Intelligence Gateway) on April 26, 2024 at 10:35 am

  Need to turn text into insights? Top cloud platforms offer NLP tools, but which reigns supreme? Here's a quick comparison: Google Cloud: Cutting-edge AI, ideal for high-performance projects. AWS Comprehend: Easy-to-use suite, great for beginners. Azure Text Analytics: Integrates well with other Azure services. IBM Watson: Offers specialized solutions for specific industries. Consider your project needs, budget, and cloud preference to pick your champion. Remember, this is just a starting point! https://www.seaflux.tech/blogs/where-to-build-your-own-AI-assistant submitted by /u/krunal_bhimani_ [link] [comments]

• AI advancement in China
  by /u/Equivalent-Net-7496 (Artificial Intelligence Gateway) on April 26, 2024 at 10:25 am

  Taken from @rowancheung at X ———- No one is talking about this major LLM from China. 2 days ago, SenseTime launched SenseNova 5.0, which according to the report (translated from Chinese): Beats GPT-4T on nearly all benchmarks Has a 200k context window Is trained on more than 10TB tokens Has major advancements in knowledge, mathematics, reasoning, and coding capabilities Crazy how much is happening in the world of AI in China that's going completely under the radar. submitted by /u/Equivalent-Net-7496 [link] [comments]

• BrainChat AI - One single for all your LLMs chats - First Product Demo
  by /u/ramst (Artificial Intelligence Gateway) on April 26, 2024 at 8:46 am

  Hey, I'm building BrainChat.ai so people can use ChatGPT, Claude, Gemini, Mistral and other LLMs from a single account. Here is the first product demo. I hope you like it 🙂 Please let me know what you think of it and if you have any feedback or feature requests. I will be sharing more demos next week. https://app.usebubbles.com/fCevH4y8jYirG7j88DgSWm/brain-chat-ai-first-product-demo ​ Wanna get the next video product demos? Sign up for free on BrainChat's website. submitted by /u/ramst [link] [comments]

• Ai to help with documents
  by /u/Nice_Dragonfly2687 (Artificial Intelligence Gateway) on April 26, 2024 at 8:26 am

  One part of my job involves transferring documentation, manuals, and similar materials from one system to another. Some of this needs to be copied from a PDF document extracted from a system. When I copy directly from the PDF document, the formatting doesn't carry over. I can open the document in Word, and the formatting does come along when I copy, but sometimes the layout gets messed up, and it's cumbersome to transfer. Are there any AI tools that can make this job easier? I envision inputting the PDF document into one end, the AI removing margin information, and at the other end, a formatted document or webpage emerges, chapter by chapter. Then, I could simply copy the text over. Any tips? submitted by /u/Nice_Dragonfly2687 [link] [comments]

• Elon Musk wants to turn Tesla’s fleet into AWS for AI — would it work?
  by /u/ELVTR_Official (Artificial Intelligence Gateway) on April 26, 2024 at 8:16 am

  'During last night’s earnings call with investors, Elon Musk threw out an all-time late-night dorm room bong sesh of an idea: what if AWS, but for Tesla?' Musk, who loves to riff on earnings calls, compared the unused compute power of millions of idle Tesla vehicles to Amazon’s cloud service business. If they’re just sitting there, he mused, why not put them to good use to run AI models? (Also, have you ever really looked at your hands? No, I mean really looked?) “There’s a potential... when the car is not moving to actually run distributed inference,” Musk said. “If you imagine the future perhaps where there’s a fleet of 100 million Teslas and on average, they’ve got like maybe a kilowatt of inference compute. That’s 100 gigawatts of inference compute, distributed all around the world.” https://www.theverge.com/24139142/elon-musk-tesla-aws-distributed-compute-network-ai submitted by /u/ELVTR_Official [link] [comments]

• Could an AI chatroom work
  by /u/Silvery_Power_6241 (Artificial Intelligence Gateway) on April 26, 2024 at 8:15 am

  Imagine a chatbot similar to ChatGPT with an extra feature. That feature would be the ability to make a chatroom with as many human users as you want to invite. You would also be able to increase and decrease the amount of chatbots on each chatroom and have them interact with all users present and with other. Could something like that work? submitted by /u/Silvery_Power_6241 [link] [comments]

• Looking for an affordable setup / approach to GenAI search on a high-traffic website
  by /u/Tiepiez (Artificial Intelligence Gateway) on April 26, 2024 at 6:54 am

  I'm the head of the online department for our company and we are involved with some companies in exploring how we could implement AI within our websites for semantic search and then generative AI. My responsibility in this is not so much the actual behavior, but more the total cost of ownership and long-term robustness and upgradability of the whole thing. Yesterday as someone pointed out the various approaches and cost scenario's it became obvious that given the relatively high traffic on our website (>100M visitors / year, >200M search queries / year) we may now be exploring something that could turn out to be way beyond our budget. And actually got me thinking that budget more than anything else could turn out to be our primary constraint - not the technology, output validation or the training and maintenance. I want to start finding out what our budgetairy constraints are, and what would be the cheapest (probably not ideal) vs the ideal (probably more expensive) running cost. Scenario's for the setup right now are still fully open and could be anything from 100% self-hosted to 100% SaaS based. Not including setup, training and maintenance cost, given this volume of traffic, does anyone here have any idea of the minimum and probable running cost (i.e. cost per token or other) for these scenario's and traffic volumes? What architecture setup would you probably go for and why? Edit & P.S. this will be for the Dutch / EU market and in medical context submitted by /u/Tiepiez [link] [comments]

• Best program for OFM Pictures
  by /u/Skynir7 (Artificial Intelligence Gateway) on April 26, 2024 at 5:06 am

  What is the best Prompt for body character, exactly how to describe the position in which the character should be? I use leonardo.ai, but if you write there that you want a figure that sits and has crossed arms, it simply generates what it wants randomly. Please help. submitted by /u/Skynir7 [link] [comments]

• One-Minute Daily AI News 4/25/2024
  by /u/Excellent-Target-847 (Artificial Intelligence Gateway) on April 26, 2024 at 4:28 am

  Nvidia CEO hand-delivers world’s fastest AI system to OpenAI, again — first DGX H200 given to Sam Altman and Greg Brockman.[1] JP Morgan AI Research Introduces FlowMind: A Novel Machine Learning Approach that Leverages the Capabilities of LLMs such as GPT to Create an Automatic Workflow Generation System.[2] Microsoft Corp. and Google owner Alphabet Inc. sent a clear message to investors on Thursday: Our spending on artificial intelligence and cloud computing is paying off.[3] Sanctuary’s new humanoid robot learns faster and costs less.[4] A former high school athletic director was arrested Thursday morning after allegedly using artificial intelligence to impersonate the school principal in a recording that included racist and antisemitic comments about individuals at the school.[5] Sources included at: https://bushaicave.com/2024/04/25/4-25-2024/ submitted by /u/Excellent-Target-847 [link] [comments]

• Dubai based Senior Full stack Job opening
  by /u/melsawah (Artificial Intelligence Gateway) on April 26, 2024 at 3:16 am

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

• Why does Copilot hallucinate so much less and follow instructions so much more precisely than ChatGPT 4 on its own?
  by /u/NJGabagool (Artificial Intelligence Gateway) on April 26, 2024 at 2:14 am

  I’ve created a custom GPT, fed it a PDF of 267 terms. I’ve spent hours creating custom instructions just to get it to ask me multiple choice questions about the terms without hallucinating. Still, it doesn’t read the PDF, confidently gives me false information and makes stuff up. 5 minutes into using copilot it’s directly accessing the PDF I’m giving it, giving me super accurate information, contextualizing it with further external information, increasing its difficulty in a sensible way as I tell it to, and just being such a much precise LLM. I’m genuinely curious why is this so? submitted by /u/NJGabagool [link] [comments]

• Pi.ai
  by /u/iPunkt9333 (Artificial Intelligence Gateway) on April 25, 2024 at 11:33 pm

  Hey there! How comes Pi is still free and do you guys use it? I use GPT, Gemini and Copilot for different works and things but Pi seems more human like so with Pi I have mostly conversations about myself, things in life, concepts I like to talk about etc. It’s strange it’s still free and I would like to know if you people use it and what for? submitted by /u/iPunkt9333 [link] [comments]

• As far as AI goes, how hard is autonomous vehicles?
  by /u/AintLongButItsSkinny (Artificial Intelligence Gateway) on April 25, 2024 at 10:46 pm

  What are some examples of different tasks that driving is comparable to? How does it rank in terms of difficulty? Harder than a video game, but easier than a house maid? Specifically, how feasible do you think it is to solve autonomy for just one city with only cameras, assuming there was redundancies? Would it be a good strategy to solve one city at a time or would that lead to overfitting? Is there value in having human feedback while training? Can you save all of the videos of interventions and save them in a huge training database and use simulations to run it with slight variations? Do scaling laws apply favorably to this task? Asking for a friend. submitted by /u/AintLongButItsSkinny [link] [comments]

• Implementing AI for Personalized Nutritional Guidance
  by /u/botup_ai (Artificial Intelligence Gateway) on April 25, 2024 at 6:46 pm

  I was thinking while making my lunch… wouldn’t it be awesome if we had an AI app that helped us eat better? Imagine something like a personal nutritional advisor right in your pocket. Here’s a casual idea I came up with: The Proposal: What if we create an AI that knows you almost as well as your mom does? It would know your likes, dislikes, and even those little cheats you sneak in now and then. But instead of scolding you, it would help you find the perfect balance for your diet. How It Would Work: Personalized Profile: You set up a profile with your data, goals, and preferences. Nothing complicated, just quick and easy. Smart Recommendations: The AI throws out meal options based on your goals, whether it’s losing weight, building muscle, or just eating healthier. Easy Tracking: You could track your meals and the app would give you constructive feedback, not just a simple calorie count. Adaptability: The app would learn from your choices and adjust recommendations to always align with your tastes and goals. Although being completely frank sure it exists, it would still be a fun exercise, Python or R for data analysis and statistical modeling, TensorFlow or PyTorch for building and training machine learning models. submitted by /u/botup_ai [link] [comments]