The next digital marketplace disruptor: Digital Assistants

Chat bots are finding their way into the mainstream. But more importantly for us, they are making their way into the research industry.

Conversational AI offers an easy way to get real-time answers and is shifting the consumer behavior and voice search is only a part of it. Google voice search is impressive but the truth is, they do not understand voice search yet. AEO (Answer Engine Optimization) can help businesses in tech target a whole new world of untapped consumer potential.

Why chat bots

Chat bots are interactive. They are intended to make your customer engagement better, simpler, and faster. Think Facebook Messenger, Slack, and Pandora Bots. What well-trained chat bots can do for you.

  1. They build vital conversations in cool places
  2. They engage with customers for you
  3. You can glean real-time actionable consumer insights
  4. They help you qualify leads and nurture them during campaigns
  5. Once they are set up, they’re pretty cost-effective to maintain.

Conventional chat bots direct potential consumers to find the right solution regardless of location or the device they use. They turn transactions into meaningful conversations and eliminate useless noise. Nettle has once such banner bot. In fact it takes the technology further and blends it with the familiarity of a display ad. The result: it delivers all the personalized interactivity of an AI driven chat bot without disrupting the user experience.

In today’s era of AI-powered adverts and automated sales messages, a well-trained chat bot email stands head and shoulders above the competition. Even if people range across different levels of weird and have different eccentricities.  

What chat bots can do

What does this mean in the real world? It means that when your chat bot is making talk with your consumer, it doesn’t have to get that person to buy my product. The conversation may simply iron out clunky blockers in your sales funnel. Some things your chat bot can handle.

  • Educating consumers
  • Communicate in different languages
  • Streamline personalized offers based on individual purchase histories
  • Help manage travel itineraries and service appointments.
  • Schedule, invite, and edit meeting times.
  • Create and send personalized emails, texts, and make phone calls.
  • Make purchases and transactions.
  • Inform consumers of real-time updates
  • Offer notices to consumers
  • Provide personalized account details and log concerns.
  • Address and resolve customer concerns.
  • Take care of internal communications among employees.
  • Transform data into actionable insights.
  • Automate business processes.

You get the picture. You get to automate conversations and conversions into something appealing to your target with a certain mutual synergy. In each case, the goal remains the same: Make useful talk and drive conversions.

Researchers and surveys that want to leverage chat bots need a reasonably lightweight conversational model. Respondents need to be met with conversations that seem organic and flexible and not straitjacketed and clunky. 

Preparing market research for the future with AI 

Bots in research are going to change research methodologies, if not outcomes. Here’s how.

  1. Near-real-time research delivery: AI technology can collect data from a target audience almost automatically and scan keywords and topics. This, no doubt, gives the researcher time to focus on insights and analytics instead of writing reports.
  2. Flexible solutions: For research to be of good quality and effective, the data collection tools and processes need to be designed with the target audience in mind. AI-driven neural networks help bots expand a range of situations and phrases your bot can understand and handle them successfully. The interaction comes off as more natural for users.
  3. Improved customer experience: If your research needs to provide highly granular analysis, you need to steer clear from human-error or bias. Nothing is as costly as inaccurate data analysis and unsuccessful sales and marketing. And AI enhances traditional CX analysis methodologies and offers quick, accurate and spot on results with negligible human-error.
  4. Accurate text analysis: Given all the work you already have to do, wouldn’t it be nice to automate keeping up with the emails, open-ended survey responses, social media comments and call logs. AI-powered algorithms can plunge into massive amounts of data for a quick text analysis. Natural language processing and sentiment analysis can find what you’re looking for real-time.

Primary research methods will govern market research this 2021

  • Online customer surveys: Polls and surveys have become popular because in-person interviews and groups are not coming back in a hurry. These surveys can produce data insights and analytics on customer experience.
  • Social media listening: Evaluating and analyzing social media offers valuable social sentiment. Understanding customer satisfaction and important reviews is crucial to brand management.
  • Focus groups: A traditional research approach, focus groups of the future will be interviewed virtually. 10 – 15 different individuals come together and will be asked a few questions about new services, possible product launches, and innovations, and so on.

Beyond measurable metrics and scalability, bots deliver both your engagement and conversion goals. Its immense advantages are paving the way for better research. From giving quick answers to common customer inquiries to launching new product features, AI can automate a lot of tasks. Giving your researchers downtime to focus on more pressing issues. Which in turn frees up time for your entire firm to focus on more complex problem-solving or revamping strategy.