I just lately had the pleasure of attending one of many standout periods at this yr’s G2 Attain occasion: The best way to Combine AI Into Your Stack.
The panel, hosted by Scott Brinker (Editor, Chief Martec & VP Platform Ecosystem, HubSpot), featured a number of the brightest minds within the MarTech world, together with Kelly Hopping (CMO, Demandbase) and Jen Niedel (Director of Advertising and marketing Digital Transformation, SAS).
As a B2B marketer making an attempt to grasp learn how to greatest incorporate AI into the best way my crew and I work, I discovered the dialogue immensely useful – a masterclass in constructing fashionable advertising tech stacks and harnessing AI’s potential to supercharge them. Listed below are my key takeaways from the panel that I hope will encourage your MarTech technique in 2025 and past.
Integration: The non-negotiable basis
If there was one theme that resonated all through the session, it was this: integration isn’t optionally available. Kelly Hopping drove this level house with readability, noting:
“Nothing is operating in a vacuum. Each device in our stack is linked—whether or not it’s ported into our knowledge methods or built-in into our go-to-market methods. That connection is significant.”
Kelly Hopping
CMO, Demandbase
Demandbase’s stack exemplifies this precept, with each part working in concord to ship insights, streamline workflows, and amplify outcomes. It reminds us {that a} siloed device isn’t simply underutilized—it’s a missed alternative.
Supply: Demandbase
The apple orchard method to stack evolution
Jen Niedel’s deep dive into SAS’s artistic metaphor is one that actually resonated with me and our viewers at Attain: the evolution of their tech stack as an apple orchard.
Over three years, their journey has moved via distinct phases, every constructing on the final:
- Basis section: Laying the groundwork with core methods and processes.
- Progress section: Utilizing data-driven insights to tell strategic selections. (Or as Jen calls it, the apple-harvesting stage)
- Maturity section: Delivering wealthy, built-in buyer experiences. (Consider this because the apple pie section—the place every part comes collectively.)
One standout innovation of their stack is the combination of Orange Logic DAM, addressing a crucial hole in digital asset administration. SAS’s tech journey underscores {that a} stack isn’t constructed in a single day – it’s cultivated with care, similar to a thriving orchard.
.png?width=960&height=540&name=AI%20GTM%20Stack%20Panel%20-%20Reach%202024%20(1).png)
Supply: SAS
AI: The income driver, not a price cutter
Each SAS and Demandbase are leveraging AI not only for effectivity however for significant influence. As Kelly put it, “AI isn’t about chopping prices – it’s about driving income. If I can release my crew’s strategic brainpower by automating mundane duties, we are able to concentrate on work that really strikes the needle.”
Panel host Scott Brinker, who just lately printed the MarTech for 2025 report with Frans Riemersma, highlighted the explosion of AI-native instruments and the maturation of AI capabilities inside main MarTech platforms.
Earlier than diving into the company’ insights, he set the stage by exploring how this evolving panorama is reshaping advertising operations and tech stacks. This context underscored the significance of understanding the place AI matches into each established instruments and rising improvements.
And Demandbase’s outcomes converse volumes:
- 400% improve in conversions via net chat automation.
- Boosted SDR effectivity with AI-powered account analysis.
- Streamlined content material creation utilizing brand-aware AI instruments.
In the meantime, SAS showcased their subtle AI framework, which incorporates:
- Predictive analytics for occasion planning.
- AI-driven e-mail optimization with tailor-made topic strains.
- Enhanced lead scoring and purchaser group identification.
Each organizations demonstrated that AI’s actual energy lies in its potential to amplify human creativity and strategic considering, not substitute it.
Information high quality: The key sauce for AI success
A recurring focus was additionally the symbiotic relationship between knowledge high quality and AI effectiveness.
“The smarter the information you feed AI, the higher the outcomes. Precision is every part.”
Kelly Hopping
CMO, Demandbase
This can be a crucial reminder that earlier than diving headfirst into AI, corporations should guarantee their knowledge hygiene practices are as much as par. Rubbish in, rubbish out, as they are saying.
High tech stack takeaways for 2025
One of the crucial memorable moments got here when Jen shared her distinctive perspective on stack administration:
“We consider our applied sciences as staff. They get efficiency evaluations. Are they doing the job they’re alleged to? Are they assembly expectations?”
Jen Niedel
Director of selling digital transformation, SAS
It’s a contemporary approach to method stack optimization – and one I’ll positively be borrowing.
Listed below are a couple of further takeaways from the session you possibly can take with you to your subsequent MarTech technique assembly:
- AI is handiest when focused: Keep away from chasing shiny, general-purpose options. Concentrate on task-specific AI that addresses actual wants.
- Integration is every part: Guarantee your instruments work collectively seamlessly to keep away from inefficiencies.
- Common assessments are key: Repeatedly consider and refine your stack to align along with your evolving enterprise aims.
Wanting forward
This specific session at G2 Attain 2024 was a reminder that constructing a cutting-edge advertising stack isn’t about chasing developments – it’s about considerate integration, strategic AI adoption, and a relentless concentrate on knowledge high quality.
For those who missed the occasion, don’t fear – full session recordings and extra assets can be found right here. And if you wish to focus on these insights additional, join with me on LinkedIn. Let’s hold the dialog going!