When a marketing or sales solution claims to be “powered by AI,” what does that actually mean?
Let’s make sense of AI and the power it has in B2B buying.
Nowadays, it seems like if you want to make something sound fancy (or complicated), you just slap “AI” onto the name and there you go!
We’ve gone from associating artificial intelligence with killer robots looking to take over the world in sci-fi movies to it now becoming the latest B2B tech buzzword, with little to no meaning.
When vendors claim solutions are “powered by AI,” are they really?
Does my team really need artificial intelligence tools to do our jobs today?
These are the questions many marketers and sellers ask themselves.
If you’re a marketer or seller you already know customer and prospect experience is the name of the game.
Lucky for us, artificial intelligence extends the capabilities of your teams, by filling in blanks and connecting dots that our (sadly) very limited human brains don’t have the computing power to handle.
Put simply, artificial intelligence helps us humans create personalized, relevant buyer experiences at-scale.
Technology has advanced in such a way that the ability to deliver those great experiences is within reach for every marketing and sales team — so long as they have the right tools in place.
So, predictive analytics – what’s that all about?
We like to think of it as a little AI-powered crystal ball for marketers and sellers.
AI-powered predictive models enable marketers to predict (with freakishly-good accuracy) which strategies, campaigns and tactics will perform the best, based on current and historical data.
As time goes on, our predictive models learn more and predict more accurately based on the data they’re fed – that’s called machine learning, y’all!
No more explaining why you “think” your idea will work well — you’ll have predictive data to back you up.
Our industry-leading match rates identify accounts with confidence, thanks to artificial intelligence.
We have a patented approach to delivering AI-driven predictions, and our predictive models help businesses understand not just who to target (down to the contact level), but also why, when, and how to engage, acquire, and retain accounts. That’s a lot of questions answered.
Our “probabilistic algorithm” incorporates tons of data into its decisions: IP addresses, cookies, advertising IDs, and other anonymous data, and continuously adapts. We’ve actually been able to improve our matching capabilities throughout the pandemic by leveraging AI and machine learning, rather than relying on traditional cookies.