How AI is impacting the Demand Generation industry. And how it isn’t.
When assessing the impact of AI on the demand-generation space, the most striking thing is how little innovation is happening. With AI there is no barrier to building new things and at Demand AI we exalt in the fact that what the customer needs we can build, quickly.
If providers aren’t innovating new products and solutions, it’s because they can’t or they don’t want to.
AI is operational hygiene
Replacing human-led operations with automation is simply the lowest hanging fruit. If AI can do it well, it should do it. Relying on humans to manage process and outreach is slow and wasteful.
As Bhavesh Thakor, Chief Operating Officer, Demand AI tells us: “AI is not a fad technology, AI is hygiene. It’s a way of life and will be enmeshed in every aspect of our lives. We must build products and services that will seamlessly weave into the workflow of every function and align with the changing habits of our teams.”
Data health is data wealth
Another minimum should be generating insights from data using AI. It’s no longer enough to be reactive and manual. AI should be proactively and continually learning and generating insights from data, as well as cleansing. (This is exactly what Demand AI’s S.A.F.E product is designed to do.)
Here’s Bhavesh again: “Data health is the fountain head of data wealth. You can get valuable insights from your data only if it is in the most updated condition. AI enables us to monitor and cleanse data in real-time, continually extracting actionable insights.”
Insights drive content engagement at scale
The impact of AI on expert content creation has been framed around replacing human content creators, reducing costs, increasing volume of output. All these things are possible. Desirable? Only if your goal is to hit a content output KPI rather than engaging and serving buyers.
AI is an enhancer and accelerator of creativity and human insights. AI platforms are engines for engagement.
AI tools remove toil and allow human creators to parlay insights into content at speed. Content consumers can engage with content using AI answer engines to generate the insights they need when they need them. This generates unique and intentful data that allows creators to continually enhance the relevance of their output. (This is where Demand AI’s Amplifye.ai platform and Global Content Practice excel.)
Bhavesh: “AI has crushed the traditional lead-times to build and create anything. Whether content creation or content consumption, AI has enabled ‘speed’ and has expedited the process that was unheard of.”
Matt Egan, Chief Content Officer, Demand AI, adds: “AI platforms allow users to choose how and when they engage with and consume insights from content. This in turn gives content creators unique data about the information our audiences seek and consume. Buyers are literally telling us what questions they want us to answer. The relevancy conversation is over.”
More insight, more measurability
All the above means that the dream of hyper personalization and nurture at scale is a reality. Personalized outreach at scale should be table stakes. The impact should be crystal clear.
At Demand AI we’re proud not only that our products and services work, we also want to show you how they work. Demonstrable return on investment is the least our customers deserve.
Bhavesh: “The more the insight, the more the measurability. Demand AI is redefining insights in B2B marketing space with its AI enabled platform ‘Amplifye.ai‘. A lead without ‘context’ is just a ‘contact’ and our technology allows the marketer to provide so much more context to its BDR and sales team leading to better measurability and thus higher ROI.”
If not, why not?
At Demand AI we are going to keep listening to customers, and using our technology to innovate products and solutions that solve their problems. The possibilities are boundless, and we are just getting started.
Find out more, visit demandai.net.


Leave a Reply