5 ways how AI can transform your cold calling system and Increase sales.

The average Cold calling system is on the verge of dying a slow death and needs AI for its revival.

RYNG
3 min readMar 5, 2021

If your company does a lot of cold calling, invests millions into it and still doesn’t get the results you need, it’s time you rethink and empower your entire cold calling system. You might not be noticing it, but your primaeval cold calling system is biting a huge chunk off your budget and not giving you the returns it needs to. Cold calling costs at least 60% more per lead than other forms of marketing and less than 2% of phone calls result in a meeting. The truth of the day is that cold calling annoys buyers, is time-consuming, expensive and doesn’t work as well as it should.

Now consider this,

The average salesperson today only spends about a third of the time selling. The majority of their day is spent working on non-revenue-generating activities. They’re swamped with administrative tasks, such as data entry, lead analysis and prospecting, when they should be spending more time engaging prospective customers.

With this combination of conventional Cold calling system being unproductive and the current typical salesperson spending more time on non-selling tasks, it’s time you transform your every-day calling systems with AI.

Here are 5 things AI can bring into your cold calling systems to free up salesmen from their mundane tasks and give them freedom and time for selling.

1. Highlight critical queries and tasks needing immediate attention

AI can be used to identify critical queries — both email and phone — and highlight these for your immediate attention. You can prioritise your calls for the day and can even segment customers by taking urgency into account.AI can even help structure your responses and suggest discussion points.

2. Use chatbots for initial screening and data collection

Chatbots are taking over the task of answering basic questions, redirecting inquiries to the correct department and generally improving a business’ customer service. For sales, a chatbot will also collect initial data and set up the next steps, such as a phone call or meeting with a rep.

3. Profile customers for better sales pitching

By running customer profiles and algorithms, AI further assists reps with lead qualification, scoring and even prospecting.AI can also identify new contacts to reach out to at a target company or identify new companies to target.

4. Use algorithms to forecast and analyze prospects

One of AI’s greatest strengths is data processing and analysis. Running algorithms against large data sets enables AI to forecast individual quotas, departmental sales and company-wide revenue. What’s more, AI can analyze prospects in the pipeline and help reps focus their time and energy on those deals with the greatest likelihood to close.

5. Power up your CRMs

Furthermore, AI can power up your CRM use. AI takes on much of the drudgery of data management and at the same time optimizes its efficiency by consolidating customer data and keeping records up to date and complete.

Get the combination of advanced AI-powered insights, advanced progressive dialling and avant-garde user experience with RYNG. With less time spent on non-revenue generating tasks and more time engaging potential buyers, the changes that RYNG can bring to your organisation can be nothing short of revolutionary.

Switch to Ryng, Power your conversations

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RYNG
RYNG

Written by RYNG

We power conversations. We reimagine B2C communications.

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