One of the most overlooked AI-related strategies in B2B is building AI-powered RevOps tables.
Processes that took hours of tedious manual work like cleaning data lists, qualifying leads, and updating CRM fields can now be done in minutes.
I want to show you real RevOps workflows we’ve implemented for our clients that had day-one impact.
But first, a shoutout to Clay, the software powering our ability to create these.
Table 1: The washing machine for your first-party data
In B2B, a big chunk of leads come through first-party data acquired through webinars, eBooks, or other lead magnets. There are two problems with this strategy:
- Asking for something like employee size, or industry, can lower the conversion rate for a form, potentially missing out on leads. However, companies want to have a solid overview on who’s passing through the gate and onto their content. We’ll get to how this table tackles this shortly.
- Manually having an SDR research businesses to qualify and segment them within your CRM is a process that should not be taking place in 2026.
Introducing: Table 1
Link to full overview with loom video
To sum up the visual above, this table connects to all your forms through Zapier or native integrations. From there, it enriches submissions using third-party tools and AI-powered research.
You can set parameters on what is considered a qualified lead, and then, have those qualified leads forwarded to your CRM.
Additionally, this allows you to ask for LESS information when creating your gated forms. All this table needs is a name and email to get you all the firmographics and demographics you need.
And now, for the next use case:
Table 2: Find out who’s visiting your website
If your company is spending money on SEO, PPC, or social ads
Ads do a great job of driving website traffic. The annoying part is when you look at your analytics and see something like this:
- Traffic from ads: 1,000
- Conversions: 2
If only there was a way to identify the 998 website visitors that did not convert.
Well, there is.
Introducing: Table 2
The table above shows a workflow that first, connects a special pixel to your site that can identify visitors, their name, and Linkedin. From there, it can enrich the visitor and identify if it fits into your ICP. If you want to get extra creative, you can automatically send the qualified visitors into an outbound email retargeting campaign.
Yes, this is legal.
Table 3: Signal-based info, sent to slack
One of the toughest jobs of an SDR is to find a hint, or ‘signal’ that provides any sort of intelligence on if a targeted company is ready to procure for a specific solution.
Experienced SDRs are trained to look for funding announcements, new hires, or other information that points to overall growth in specific departments.
Well, this is now considered a waste of time.
Introducing the final table: Table 3
Table 3 allows you to track hiring signals, funding news, or any overall intelligence that can point to a potential sign that your ICP may be in the market for your product + service.
All of these tables are meant to allow teams to use AI as a huge competitive edge on both the marketing and sales fronts, saving hours of manual work, and gathering intelligence faster than any human.
In other news, click below to listen to the first podcast of Scaling B2B. I got to sit down with Protim Bhaumik, CMO at Factors.ai to discuss how to measure attribution in B2B, the right way to run Linkedin ads, and much more.
