Sales & Marketing AI 2019-07-16T10:15:16-04:00

Sales & Marketing AI

“Sales teams adopting AI are seeing an increase in leads and appointments of more than 50% [and] cost reductions of 40%–60%.”

– Harvard Business Review, Dec 2018

The age-old customer conundrum…

  • How to get them?

  • How to work with them?
  • How to keep them?

Artificial intelligence, and data science in general, are experimental in nature. The number one reason we see sales and marketing AI projects fail is that they’re treated as black boxes and organizations don’t take the time to experiment with what works and what doesn’t.

Pandata specializes in data science and AI solutions for the sales and marketing functions. Before you run with AI, you must learn to walk with data strategy, our signature process that helps organizations derive value from their data more quickly by laying a strong foundation on which to build up to AI success.

What is the “data science process?”

People are at the core of every business, making decisions and taking actions that impact the bottom line. Data Science is the discipline of identifying opportunities within business processes and using data and technology to facilitate more profitable decisions. It complements and extends the expertise of individuals to create sustainable value within an organization. Our process:

  • Addresses specific business challenges

  • Transforms data to meaningful information

  • Informs decisions that impact the bottom line

What do all successful AI projects share?

  • Buy-in. The organization is aligned on ROI and AI projects are prioritized according to organizational goals.

  • Trust. Solutions are delivered with appropriate amounts of education and stakeholders understand the underlying assumptions.

  • Consistent Performance. Performance and value creation are consistently tested and different users of the solution experience similar results.

What do all successful AI projects share?

  • Buy-in. The organization is aligned on ROI and AI projects are prioritized according to organizational goals.

  • Trust. Solutions are delivered with appropriate amounts of education and stakeholders understand the underlying assumptions.

  • Consistent Performance. Performance and value creation are consistently tested and different users of the solution experience similar results.

So, where do I start?

Ask one simple question…

If I could identify  ,
I could  

(ex. If I could identify when a customer becomes a higher risk for churn, I could alert our retention team to intervene.)

So, where do I start?

Ask one simple question…

If I could identify  ,
I could  

(ex. If I could identify when a customer becomes a higher risk for churn, I could alert our retention team to intervene.)

Can you give me some examples?

Using AI to improve the customer experience

When a fortune-500 company decided to double down on customer experience and collect consistent feedback more often, their customers gladly shared their opinions. Segmenting existing customers into promoters and detractors is powerful. Studies have shown that promoters are 6 times as likely to buy, while detractors are responsible for more than 80% of negative word of mouth.

Continue reading…

Using AI & transactional data to target and qualify customers

A benefits management company partners with insurance companies to enroll members in special government funded programs. But to do this, they must analyze billions of medical records to pre-qualify which members to reach out to. An analogy in the retail space would be analyzing historical transaction data to target customers for special offers.

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Using AI & curated content to qualify purchasing decisions

When customers visit your website, they are telling a story about their intent. Marketers have long offered content that requires an email address to qualify prospects and customers. But what if you could qualify more complex behaviors like product or service considerations and readiness to buy? See how one Fortune-500 company decided to do that by transforming their website analytics data.

Continue reading…

Many sales and marketing teams are eager to get started with artificial intelligence projects—often struggling to see the return. If this is you, don’t give up. Marketing and Sales AI start with experimentation, which thrives on trial and error.
Let Pandata take frustration out of the equation and help you get on the road to AI success. Get started now!