Turn pages visited into meetings booked.
Website visits from high-fit accounts on high-intent webpages are an excellent buying signal, but reps can’t outbound a logo. They need contact-level visibility.
Ops and demand gen can try to stitch together visitor identities from multiple vendors (and attempt to turn siloed Slack alerts into actionable outputs). Or they can serve up contact-level visibility right alongside other key buying signals—and deliver it all to reps in a UI purpose-built for pipegen—all in one place.
In this playbook, we’ll show you how to automatically capture web visits, see the person behind the signal, and serve up hot leads to reps on a silver platter—or let an AI agent automate it from end to end.
This is how we’ll capture web visits, enrich visitors at the contact level, and make this activity actionable for reps. Sign up for free to follow along.
Let’s say we’re an Ops or demand gen leader.
We want to serve up high-intent, contact-level web visits to reps—and make them actionable—quickly and at scale.
First we’d connect website visits to Common Room.
We have two options: standard website visitor identification and enhanced website visitor identification, powered by Vector.
Both come right out of the box for all Common Room customers—we’d just need to create a free Vector account to access the latter.
We’ll enable both to maximize enrichment coverage.
AI-powered signal captureCommon Room’s AI-powered signal capture automatically fetches contact, account, and activity data from your first-, second-, and third-party data sources. Our machine learning algorithms process this data and turn it into structured outputs for team members to access, analyze, and action on.
Once website visitor identification is fully configured, all web traffic will get pulled into Common Room for identity resolution and enrichment.
AI-powered identity resolution and waterfall enrichmentCommon Room’s out-of-the-box identity and enrichment engine uses machine learning models to automatically deanonymize contact and account activity, merge cross-channel signals into unified profiles, and fill in the blanks with rich contextual data.
Since we opted in to enhanced website visitor identification, all US-based web traffic will first be routed through Vector to improve match rates.
We can easily filter views of contacts and accounts based on website visits, as well as drill down into specific URLs visited, the number of pages visited, website visitor location, and more.
We can also get a look at website activity related to specific contacts and accounts within their profiles.
Not only can we see the people visiting our site, we can also see their names, job titles, work histories, email addresses, phone numbers, cross-channel activities, and more.
Web visits live alongside every other signal captured in Common Room—like product usage, CRM records, social engagements, open-source activity, community interactions, job changes, tech stack configurations, and more—and can be used as inputs in lead and account scoring.
AI-powered lead and account scoringCommon Room’s signal-based scoring creates contextual lead and account scores based on machine learning-enriched fit and behavioral data. Scores—and the context behind them—are refreshed daily using your custom rules, parameters, and weighting.
We can create real-time alerts to notify reps of web visits from high-fit contacts or accounts, helping them increase speed to lead.
Real-time alert automationCommon Room’s intelligent automations build real-time alerts using your custom filtering criteria, automating notifications based on any combination of contact, account, and activity signals.
We can also create auto-replenishing segments of contacts who visited our site, customizing the lists based on any combination of demographic, firmographic, and behavioral data.
These act as interactive burndown lists for reps that automatically refresh as new signals flow in.
Playbook automationCommon Room’s intelligent automations build auto-replenishing segments using your custom filtering criteria, automating play creation based on any combination of contact, account, and activity signals.
We can also customize the columns displayed in our segments to focus on specific data points and signals, including calculated fields that help reps zero in on contacts from signal-heavy accounts.
Segments can be assigned to specific roles, like BDRs and SDRs, and scaled across the team. Team segments will automatically update based on a rep’s book of business in our CRM.
Now let’s say we’re a BDR or SDR.
We can click into one of our segments—or any contact-level view—and action on web visitors right away.
If for some reason we only have account-level activity to work with, we can use Prospector to identify and enrich economic buyers within accounts for outreach.
AI-powered prospectingCommon Room’s Prospector retrieves prospects and companies from a proprietary, constantly refreshed database of more than 200 million B2B contacts and accounts based on your custom filtering criteria. These people and organizations are then enriched via machine learning-powered models.
We can also have our data and signal activation agent, RoomieAI™ Activate, draft messaging for us based on web activity and any other actions or attributes captured in Common Room.
This agent will draft a highly personalized, highly relevant message for every contact in real time using retrieval augmented generation, including by pulling from research conducted by our data and signal capture agent, RoomieAI Capture.
If we want, we can even automate the entire pipegen process from web visit to outreach using a combination of workflows and AI agents.
Once the workflow is enabled, contacts will automatically be added to a preconfigured outbound sequence and—if a RoomieAI Activate message snippet is mapped to it—our AI agent will automatically generate personalized, relevant copy.
Our message might look something like this:
Outbound template based on web visitHi [Contact Name],
I see you’re growing the [Department Name] team at [Organization Name].
Looks like the team might be using [Competitor Name] to [Use Case Related to Business Model]?
That’s something we can help with.
Specifically, we’ve helped [Primary Competitors] make the switch from [Organization Negative Competitor Reviews], which could address [Organization Risk Analysis].
Worth exploring?
Now you know how to serve up contact-level web visits right to reps alongside other key buying signals and augment or automate action with AI—no muss, no fuss.
Want to see a playbook on a different topic? Get in touch. And if you haven’t already, try Common Room for free.