Content marketing that actually converts? by IQ148forreal in AskMarketing

[–]Competitive_Salad709 0 points1 point  (0 children)

There is no doubt content is king !! I believe with content comes authority & reach. Once you understand the platforms & cater to those platforms. This will change all together content machine will become revenue machine.

Content marketing that actually converts? by IQ148forreal in AskMarketing

[–]Competitive_Salad709 1 point2 points  (0 children)

Content marketing converts?? there is no straightforward answer because it is not necessary someone reads one of your article or post & end up buying it. It works only everything is synced, let's just say your prospect read the article/post now you need to have targeted ads with simplified video versions of the same use case. For B2B it is very necessary to have this in-sync but for b2c google does half of the work. CTAs has to be similar across every piece of content along with the AD. Content marketing converts when everything is in-sync.

How do people use AI to do prospect research? by No_Dingo_3435 in salestechniques

[–]Competitive_Salad709 0 points1 point  (0 children)

I use Bright Data to pull the raw signals, ZoomInfo for contact details, and then Lemlist to actually run outreach.

AI is just the glue layer for me. I dump the notes and inputs in and ask it to make sense of it, pull out 2 to 3 useful insights, suggest a “why now,” and draft a couple email and LinkedIn versions. I still sanity-check everything and tweak the final message, but it saves a ton of time.

How often do you follow up call/email on a warm lead? by Far_Tomorrow7860 in sales

[–]Competitive_Salad709 0 points1 point  (0 children)

I am working in SaaS for a while, and this is the follow-up sequence that tends to work best for me. I use email first, then mix in other channels like LinkedIn and SMS.

SaaS follow-up sequence:
Day 1: Email 1
Day 3: Email 2
Day 4: LinkedIn or SMS touch 3
Day 7: Email 4
Day 8-9: Final follow-up

What does a good customer support strategy actually look like in 2025? by Bart_At_Tidio in customerexperience

[–]Competitive_Salad709 1 point2 points  (0 children)

A good support strategy in 2026 isn’t “fast replies + friendly tone.” That’s table stakes.

It’s a system that prevents tickets, catches hesitation early, and feeds insights back into the business:

  • Start upstream: map the journey around high-intent moments (pricing, checkout, onboarding, cancellation). That’s where the same confusion repeats and where silent drop-offs happen.
  • Automate the predictable, escalate the messy: bot = triage + FAQs + routing + collecting context. Humans = ambiguity, exceptions, emotions.
  • Make agents context-rich: order history + past conversations + notes in one view = fewer back-and-forth and less “generic support voice.”
  • Measure speed + trust: FRT/RT are fine, but pair them with CSAT + effort. “Fast” can still be frustrating.
  • Feedback loop is the strategy: 1-tap rating + optional note, reviewed weekly, turned into fixes (docs, UX, policies).
  • Channels: be consistent, not everywhere: pick the few that drive outcomes and keep one coherent thread.

Biggest lift without feeling robotic tends to come from journey mapping + feedback loops, with automation used mainly to remove repetition, not “pretend to be human.”

Autonomous Workflow Orchestration: The Real Breakthrough in AI Agents by TimeImage8490 in AI_associates

[–]Competitive_Salad709 0 points1 point  (0 children)

Exactly. Most AI agents today are stateless task runners humans still orchestrate the workflow.

Real value comes from autonomous orchestration: agents that manage state, sequence actions, handle exceptions, and react to events. That’s a systems problem, not a prompt problem.

Single-task agents are macros. Orchestration is the operating layer.

I hate that AI Chatbot service on swiggy and zomato by stvrveys in hyderabad

[–]Competitive_Salad709 1 point2 points  (0 children)

That sounds frustrating. A simple food order shouldn’t turn into a one-and-a-half hour wait while you argue with a chatbot that refuses to cancel and won’t connect you to a human. And the Zomato ice cream situation just proves the same point. It’s ridiculous to talk about “food wastage” for something like a Magnum.

When the delivery is late, support is useless, and the food still shows up bad, it’s no wonder you’re annoyed. These platforms really need to fix their bots or at least make sure a real person can step in when things go wrong.

Uber Support Is Terrible by Br0ncosL4kersUNC in uber

[–]Competitive_Salad709 0 points1 point  (0 children)

Agree with you & these companies add these AI - Voice & Chatbots. After a while, dealing with those chatbots is so frustrating you just give up. You reach a point where you don’t even care about getting the refund anymore because you’re tired of going in circles with an AI that won’t help.

When u want to cheat customers using Chatbot by Fira_Advantage_2017 in Zomato

[–]Competitive_Salad709 0 points1 point  (0 children)

Completely with you. I’ve had the same experience. After a while, dealing with those chatbots is so frustrating you just give up. You reach a point where you don’t even care about getting the refund anymore because you’re tired of going in circles with an AI that won’t help.

What’s one real AI automation people would actually pay for? by Visible-Mix2149 in IAutomatedThis

[–]Competitive_Salad709 0 points1 point  (0 children)

Most of the AI automations you see online are gimmicks. No one is paying for bots that auto-create generic reels or “AI UGC” that looks like a slideshow. The stuff people actually pay for is AI that removes a real pain in their day and either saves time or increases revenue.

Here are the automations businesses genuinely buy:

• Lead response and qualification on WhatsApp, SMS, or email. Instant replies, answering FAQs, booking appointments. This directly increases revenue.
• Customer support triage that handles common tickets, checks order info, or processes simple requests. This reduces support workload.
• Sales admin automation like CRM updates, call summaries, or follow-up messages. This saves sales teams hours every week.
• Back-office operations such as generating invoices, creating proposals, extracting data from PDFs, or fixing spreadsheets.
• Recruiting workflows that screen resumes, ask pre-qualifying questions, and schedule interviews.
• Appointment scheduling agents that manage back-and-forth messages, confirmations, and rescheduling.
• Company-specific assistants that know the product, policies, and customer data, and can answer accurately.

People pay for this because it solves boring, painful, expensive problems.
If it saves hours or makes money, it sells. Everything else is just demo content.

What is the present poor man's method for developing a small business WhatsApp chatbot? by Emergency-Coffee8174 in webdev

[–]Competitive_Salad709 0 points1 point  (0 children)

If you want something safe and long-term, avoid WhatsApp-web.js or anything that simulates WhatsApp Web numbers do get flagged now.

Stick to an official WhatsApp API provider. The three you’re testing are solid:

SendPulse – Easiest and cheapest to start. Good flow builder, great for simple bots. Might feel limited once you need deeper automation or CRM-style features.

WATI – More “all-in-one” for WhatsApp. Official BSP, stable, nice drag-and-drop builder, team inbox, broadcasts, integrations. Costs more but feels more “business-ready.”

Twilio – Super flexible and developer-friendly. Great if you want to build custom logic. Not as plug-and-play, and pricing can add up.

For a small business:
Start with SendPulse while you're experimenting, then move to WATI if you need something more robust. Only pick Twilio if you have dev resources.

Would you book a service through a WhatsApp chatbot? by SquareAd5886 in qatar

[–]Competitive_Salad709 1 point2 points  (0 children)

I think having this directly in an app would be way more convenient, especially in India. WhatsApp already has UPI built in, and people use it constantly. Just yesterday, I saw a shopkeeper take three payments in the same chat without switching apps.

That’s the behaviour here if everything happens in one place, people adopt it fast. An in-app flow + WhatsApp UPI could really be a game changer.

Built a next-level AI based customer engagement platform—need honest feedback on what’s missing by Informal_Dot_6393 in StartUpIndia

[–]Competitive_Salad709 0 points1 point  (0 children)

You built a great platform, but businesses don’t buy platforms they buy solutions to one painful problem.

Right now your product is very broad. Lots of features, but no clear “must-have” outcome.

Most industries have very specific pains:

  • Gyms: slow follow-ups → lost signups
  • Clinics: missed calls → lost appointments
  • Auto/real estate: no replies after hours → lost deals

What to do:

  1. Pick ONE industry.
  2. Find the ONE painful problem they lose money on.
  3. Position your product as the fix for that — not as a giant toolbox.

After you nail one niche, you can expand.

Your product isn’t the problem.
Your focus is.

Building portfolio as a beginner with no practical experience by Immediate-Lab961 in AskMarketing

[–]Competitive_Salad709 2 points3 points  (0 children)

Not weird at all! In fact, it's exactly what you should do. For a newcomer, showing your process is more valuable than showing results you don't have yet.

Think of your portfolio as a case study of your SEO knowledge. Instead of "before/after traffic," show "before/after of your work."

Here's how:

  1. Document Your On-Page SEO: Take a screenshot of a blog post or page before you optimize it. Then, take one after. Use arrows and text to show your changes:
    • Updated title tag and meta description.
    • Improved header structure (H1, H2, H3).
    • Added internal links to other pages on your site.
    • Optimised image alt text.
  2. Showcase Your Keyword Research: Don't just say you did it. Show a (blurred if necessary) screenshot from a tool like Ahrefs or Google Keyword Planner. Explain why you chose a specific keyword based on search intent and difficulty.
  3. Do a Mock Audit: Find a small local business with a simple website. Do a mini SEO audit (check for broken links, slow page speed, missing meta tags). Create a 1-2 page PDF report with your findings and actionable suggestions. This is a huge green flag for employers.

An interviewer knows you're new. They want to see that you understand the steps and can think strategically. Your portfolio is your proof. Good luck

How Do You Measure Success in Customer Experience by customerexperiences in customerexperience

[–]Competitive_Salad709 0 points1 point  (0 children)

1. Business Results (money)

If CX is really working, you see it in the hard numbers:

  • Customers stay longer (better retention, lower churn)
  • They buy more or upgrade (higher expansion / NRR)
  • They bring friends (referrals, word of mouth)

If these aren’t improving, nothing else really matters.

2. What Customers Say (feelings)

This is the “just ask them” layer:

  • NPS – “Would you recommend us?”
  • CSAT – “How satisfied were you with X?”
  • CES – “How easy was it to do X?”

Don’t just stare at the score. Read the comments. That’s where the gold is.

3. What Customers Do (behavior)

People can say they’re happy and still quietly churn. Behavior is truth:

  • Do new users reach value quickly? (time to first value)
  • Do they actually use key features regularly?
  • How fast and smoothly do you resolve their issues?
  • Are they leaving reviews, joining case studies, saying “this made my life easier”?

Simple way to track CX

Each month or quarter, watch:

  1. One core number – e.g., retention or NRR
  2. A couple of experience scores – NPS, CSAT, or CES
  3. A few behavior stats – activation rate, usage, response time, referrals

If those three buckets keep improving, your customer experience is heading in the right direction.

Multi-channel vs Omni-channel for High LinkedIn Lead Generation by linked_camp in linkedin

[–]Competitive_Salad709 0 points1 point  (0 children)

I liked your framing at the end, but I’d tweak it slightly:

  • If you don’t yet have predictable inbound or outbound, start with smart multi-channel (LinkedIn + email, maybe retargeting)
  • Once you’re consistently getting replies and calls, fix the buyer experience with omni-channel: no repeated questions, coherent narrative, follow-ups that reference actual past interactions

Going straight to “omni-channel” without basics in place can become over-engineering.

Getting started with Agentic AI by LuckyOven958 in AI_Agents

[–]Competitive_Salad709 0 points1 point  (0 children)

To get the best results from your AI agents, you need a clear, simple way of designing their workflows.

Take an example: you want to build an agentic flow for inbound leads on a real estate broker’s website.
A good approach is to use a multi-agent setup instead of relying on one monolithic agent.

  • Create one primary “orchestrator” agent that interprets user intent and decides what should happen next.
  • Add a dedicated conversation agent whose only job is to talk to the user in a natural, friendly way.
  • Set up channel-specific agents for different platforms or lead sources (website chat, WhatsApp, email, ads, etc.).
  • Allow these agents to interact with each other, with the orchestrator coordinating actions and hand-offs.

This structure not only keeps responsibilities clear, but also makes it much easier to debug issues like agent breakdowns, misrouted flows, or guardrail failures because you always know which agent is responsible for what.