AlertMedia

How AlertMedia's account scoring, deal qualification, and lead routing all run inside Clay

Clay Team
Clay Team
What we did

+22%

enterprise win-rate

90%+ MQLs

scored and routed in <5 minutes

200+ hours/month

saved on deal qualification

At a glance

"Every GTM team has different questions they need answered. Clay has the data and flexibility to answer all of them from the same infrastructure." — Owen Chander, GTM Engineer

Company

AlertMedia provides physical risk intelligence and incident response solutions that help organizations protect employees, facilities, and assets worldwide.

Industry

Risk Intelligence

headquarters

Austin, TX

AlertMedia sells risk intelligence and incident response solutions that help more than 3,500 organizations around the world protect their employees, facilities, and assets. The organizations most likely to buy are the ones with distributed workforces and assets, which means AlertMedia's GTM engine benefits from knowing exactly how many locations a prospect operates, where those locations are, and what industry they belong to.

The problem was that AlertMedia's data infrastructure couldn't support the scoring models, routing logic, and rep prioritization the team was trying to build on top of it. Account scoring required inputs that existing vendors got wrong. Inbound leads hit Salesforce with missing fields that cascaded into routing errors. Competitive intelligence from sales conversations sat locked in call transcripts with no structured way to extract it. Owen Chandler, AlertMedia's GTM Engineer, was brought on to close those gaps.

What Owen built with Clay is a data layer underneath AlertMedia's entire GTM motion: from how accounts are scored and prioritized, to how reps prepare for competitive deals, to how marketing captures and activates expressed buyer interest.

No items found.
The problem
The solution
Use case
01

Scoring accounts on data that influences deal size

AlertMedia's account scoring model weights a specific set of signals: how many physical locations a company operates, where those locations are, and what industry they belong to. Get those inputs right and the model surfaces the accounts where AlertMedia's product delivers the most value. Get them wrong and reps spend time on accounts that look like a fit on paper but fall apart in practice.

Unfortunately, previous data vendors consistently got these inputs wrong. Industry classifications defaulted to broad categories that didn't reflect what companies actually did. International location counts, one of the strongest predictors of deal size, were unreliable. Every scoring error compounded downstream into misrouted leads, mispriced deals, and wasted time.

Clay served as the enrichment layer to enable the account scoring model to work as designed. Owen built Clay workflows that recategorize industries using Claygent, populate international location counts by waterfalling multiple enrichment providers, and fill gaps in legal names and LinkedIn profiles. The enrichments run on an ongoing basis, writing back to Salesforce so the model's inputs stay accurate as companies grow, restructure, and expand into new markets.

The impact of accurate data shows up in deal outcomes. Top-tier enterprise accounts close at a 22% higher rate and carry a 50% larger deal size than accounts that were improperly scored. "Our account scoring model tells reps where to spend their time. If the inputs are wrong, the whole model is wrong," Owen says. "Clay is how we keep it precise."

Use case
02

Turning sales conversations into structured deal qualification

AlertMedia's enterprise motion runs on MEDDPICC. Every meaningful sales conversation is supposed to update qualification fields on the opportunity: Metrics, Economic Buyer, Decision Criteria, Paper Process, Champion, Competition. When those fields stay current, forecasting holds up and managers can coach on the actual state of a deal.

Keeping them current was the hard part. Reps updated fields inconsistently between calls, and managers couldn't backstop the work. With two sales enablement people covering a growing global sales organization, manual call review topped out at less than 10% of total conversations. The intelligence was sitting in the transcripts. Getting it onto the opportunity record at the pace deals actually moved was the bottleneck.

Owen built a Clay workflow that pulls every recorded call from Gong into a Clay table. Task-specific Claygent prompts parse each transcript against the MEDDPICC framework, pulling structured values for each dimension along with supporting evidence from the call. Clay writes the extracted fields back to the Salesforce opportunity automatically. Reps review and confirm instead of typing qualification updates from scratch.

The same call-intelligence layer powers more than MEDDPICC. It generates over 1,800 AI account summaries on demand from inside Salesforce, used by reps for outbound personalization and territory plans, and scores 700+ calls a month against AlertMedia's selling motion with structured feedback posted to reps and managers in Slack.

The qualification work alone saves the sales org over 200 hours a month. Managers stopped spending coaching time on data hygiene because the qualification picture is already populated by the time they sit down with a rep. "We now have infrastructure to answer anything we need from our calls," Owen says. "It only takes about 30 minutes to set up a new workflow."

Use case
03

Getting qualified leads to the right rep

When a lead fills out a form on AlertMedia's website, their job title determines everything that happens next: scoring tier, follow-up sequence, and whether a rep gets a high-priority alert or the lead enters automated nurture. Before Clay, 27% of inbound leads arrived without a title at all. Those leads scored as zeros and dropped into the lowest-quality follow-up path, regardless of who they actually were.

Clay now enriches every inbound lead within the existing five-minute SLA window, before the rep notification fires. For titleless leads, Clay finds and validates a title so the lead scores and routes correctly. 15% of inbound leads are matched to existing accounts in Salesforce and routed directly to the assigned rep instead of sitting in a general queue.

The same gap existed with webinars. After each event, marketing ops would export attendee lists, scrub and score them, and hand them to reps. The process took two to three days, and even then, reps followed up with only about half of attendees. Marketing saw leads left on the table. Sales saw leads that weren't qualified enough to prioritize.

Owen built a Clay workflow that scores every webinar attendee into hot, warm, and cold tiers automatically. Cold leads are sequenced on behalf of reps. Hot and warm leads trigger rep alerts with context on the attendee and their account. Coverage jumped from 50% to over 90%, turnaround compressed from days to hours, and the system removed the ambiguity about who was responsible for follow-up.

"When someone fills out a form, they should reach a rep who already has context on their account," Owen says. "That's true whether it's an inbound lead, a webinar attendee, or a new thread on an active deal."

Use case
04
Use case
05
Clay's impact

How one GTM Engineer built a compounding data layer for the whole revenue org

What Owen built at AlertMedia is a system where each workflow feeds the others. Each lead gets enriched and scored correctly, routed to the right rep, who opens the account record and sees deal intelligence from prior conversations already populated. The rep starts with context that would have taken hours to assemble manually, if it was assembled at all.

AlertMedia runs a biweekly Clay working group that includes the CMO, VP of Sales, and VP of RevOps. The workflows Owen builds touch every part of the GTM org. Sales gets better accounts and competitive context. Marketing gets faster activation and cleaner attribution. RevOps gets a data layer they can trust. The working group has shifted from triaging a backlog to planning what to build next, including living intent scoring that layers real-time signals to give reps a fluid weekly ranking of their best accounts.

"Every team has different questions they want answered, and Clay is flexible enough to answer all of them from the same infrastructure," Owen says. "That's what makes it compound. You're not buying five tools. You're building one system that gets smarter with every workflow."

Related

Explore more customers

Discover how users leverage Clay to uncover distinctive data and use data in innovative strategies to succeed.

Clay enables our team to rapidly experiment with trigger driven workflows, and 3rd party enrichment data. We’re able to move fast and drive outsized impact on GTM execution – all while using a tool that’s fun, creative, and cutting edge.

Scotty Hunh
Revenue Strategy & Data

2X

Enrichment coverage

Read case study
How OpenAI is scaling their GTM motion with Clay

"Clay is the Rippling marketing team's secret weapon. It has helped us build an experimentation-driven GTM motion that iterates on ideas and scales what works. We've greatly improved our outbound email performance, deeply enriched our customer base with AI, and more."

Ryan Narod
VP, Corporate and Integrated Marketing

2x

Increase in cold email performance

Read case study
How Rippling uses Clay to scale growth experiments and email personalization

"Clay is a central part of our outbound campaign program. It’s helped us fully automate lead enrichment that previously required expensive and time consuming manual research. We can use the hours we've saved on manual work for more interesting, creative, and important tasks, like coming up with new outreach ideas or nurturing relationships with prospects."

Davide Grieco
Prev. Director of Growth

2x

Increase in LinkedIn ad targeting match rates

Read case study
How Verkada’s growth team uses Clay to launch targeted ABM campaigns across LinkedIn, email, and direct mail

"Clay is a game changer for marketing, data, and operations. We have 3x our enrichment rate with Clay’s combination of data providers. Clay makes it easy to use AI for GTM initiatives, unlocking new workflows that were infeasible before."

Adam Wall
Head of Sales Operations

3x

Data enrichment coverage

Read case study
How Anthropic uses Clay to 3x their enrichment coverage—with no manual work

"When one provider doesn’t have it, Clay automatically checks the next one. It really helps our inbound and outbound motions because we can leverage the best source of data. I’ve never seen a tool that was so easy to do this process."

Pedro Alzevero
Marketing & Growth Ops

3M+
companies prioritized

Read case study
How Coverflex uses Clay to automate signal-based outreach for 3M+ companies, adding 200+ monthly demos

“We consolidated three vendors into Clay and started enriching data points that didn't exist in any traditional database. Our reps went from starting every conversation cold to knowing exactly who to call and what to say."

Bryanna Clancy
Marketing Strategy & GTM Engineering Leader

+50%

win-rate

Read case study
How Hex increased inbound win-rate 50% using Clay

"Clay has become the orchestration layer for everything GTM. Salesforce for record-keeping, Snowflake for product data, and Clay for turning it all into automated action.”

Kyle Ketchum
Marketing Operations, Tech & Systems

CRM contacts

enriched and continuously updated

Read case study
How Figma built a living data foundation to orchestrate every GTM motion

“Before Clay, we could only guess at our audience composition. Now, we can confidently show sponsors the segments that matter most to them, like marketing leaders at companies doing $10M+ in revenue”

Dan Murphy
COO

50%

Enrichment of 27K contacts with actionable firmographic data

Read case study
How Exit Five scales sponsorship revenue by enriching newsletter subscribers

"Clay has allowed us to scale our outreach in ways we never thought possible. We're able to automate key processes, reach more leads, and stay incredibly efficient without sacrificing the quality of our engagement. It's been a game-changer for us"

Darri Atlason
Growth

SDR outbound capacity

Read case study
How Harmonic automated their SDR workflows in Clay to increase output and conversion rates

"Clay gave us the ability to define what a great customer looks like on our terms. Not just industry and title, but the signals that actually predict who will buy. Our reps are working better lists, closing faster, and generating 19% more revenue per head."

Sharon Roessen
COO

+19%

revenue per rep

Read case study
How Terrapinn increased revenue-per-rep 19% while cutting prospect acquisition cost by 90% with Clay

"Our most successful campaigns are built on data that doesn’t exist in off-the-shelf tools. Clay helps us find those signals — and transform ambitious ideas into executable, high-performing campaigns."

Francesca Pavan
Director of Demand Generation

+70%

campaign launch velocity

Read case study
How Legora increased their campaign launch velocity by 70% using Clay

"Clay is our GTM signals orchestration engine. It's the infrastructure that lets a small team like depthfirst go-to-market like a much bigger one."

Mark Hardy
Head of Revenue Operations

95%+

CRM data fill rates on key fields

Read case study
Why depthfirst chose Clay as the first tool in their GTM stack

"By automating the processes in Clay and having access to new enrichment sources, we were able to convert accounts that we would usually not prioritize"

Petra H.
Founder @ RevenueHoop

40 hours/month

Time saved per sales rep through automation

Read case study
How Oyster uses Clay to run intent-based outbound campaigns, saving 40hrs/month per sales rep

"Reps used to spend hours validating account information because they couldn’t trust the data. With Clay, reps are much more confident in our CRM data and most accounts in their books of business are now worth reaching out to. That changes everything about how you scale a GTM team."

Fredrika Hillström
GTM Operations

60%

lift in CRM accuracy across 150,000 accounts

Read case study
How Sana equips 140 sales reps with better books of business

"Every lead is pre-qualified, scored on unique signals, and routed automatically through Clay. We're now generating pipeline from segments we weren't even touching before."

Raman Khanna
Growth

+50%

lift in SQLs from automated lead scoring

Read case study
Inside ElevenLabs' GTM intelligence stack: one data layer, three motions, 4x SQLs

"Clay should be an essential pillar of every company's GTM stack, enabling outbound built on the highest quality data foundation possible. Now you can automate hours of manual research so sales teams can focus on selling."

Stevie Case
CRO

80%+

Enrichment coverage

Read case study
How Vanta uses Clay to streamline RevOps and scale signal-based prospecting

We did an analysis of on-prem trends regionalized across the world in 3 days.  This market research analysis would have taken my team 3 months to do without Clay. It was enlightening to see how speedy you could get to a V1 answer we could further refine.”

Joel Davidson
VP of RevOps

25,000+

Qualified global enterprise accounts sourced in 2 weeks

Read case study
How Mistral AI built a global GTM engine with Clay

"This job has always been about creativity, despite how it might seem, and Clay enables me to answer more 'what if we could...' questions from our GTM teams than I ever could before."

Alexander DeMoulin
Director of Revenue Operations

One platform

Consolidated multiple data sources into a single platform

Read case study
How Intercom used Clay to build trust in GTM data and accelerate outbound execution

"Today, when folks talk to me about anything AI, they say, 'Can Clay do this?' And what they mean is can we find an AI workflow to solve for this," Arthur Lorente,  Director of GTM Operations

Arturo Lorente
Director of GTM Ops

$5.7M

pipeline generated

Read case study
How A-LIGN cut research costs by 83% and generated millions in pipeline

"Clay simplifies how we experiment with new ideas and automate processes, Whether testing AI workflows or building contact lists, Clay is consistently a foundational tool we turn to."

Andrew Thomas
Founder

5000+

Key contacts for job changes.

Read case study
How Regency Supply used Clay to find niche prospects & automate research and scoring

"I don't know if we would have been able to grow so quickly without Clay. It’s the core of our GTM stack. It's amazing, and we're only just beginning."

Stuart Lundberg
Head of Operations

+30%
booked meetings

Read case study
How Pump scaled from $1M to $25M+ in 18 months using Clay to orchestrate GTM

"With Clay I can connect all my 1st and 3rd-party data, add a layer of AI, and build a system driving real impact for the team in 10 minutes. That used to take days, if not more."

Tim Bourcier
RevOps, Marketing Lead

15% more
enterprise meetings booked

Read case study
How Merge books 15% more enterprise meetings by researching 1,500 key accounts weekly with Clay

"Scaling inefficient SDR work isn’t possible without an infinite flow of capital. Clay helps automate mundane tasks like contact data enrichment, including pulling signals and triggers, so SDRs can focus their time on prioritized selling and spend their days more effectively. It evolves the SDR role and aligns it with better with marketing paths for more upward career momentum."

Kris Rudegraap
CEO

10x

Outbound productivity

Read case study
How Sendoso uses Clay to inject creativity, efficiency, and $1M in pipeline into their outbound motion

"The challenge in Europe is each country has different GTM playbooks. It's painful to find, procure, and test data vendors for each market. Clay speeds up your ramp period in a new country by allowing you to test quickly, adapt your strategy to local nuances, and avoid the SaaS bloat of single-point solutions for each region."

Cody Leovic
Senior Growth Manager, EMEA

+62% enrichment rate
from large incumbent data vendor

Read case study
How Verkada GTM team expanded in 28 European countries using Clay

"Clay allowed us to consolidate our workflows and eliminate the need for multiple tools. It’s streamlined everything, saving us time and money while improving our ability to act on key signals"

JJ Tang
CEO & Co-founder

100%

Automation of outbound sales workflows, from list building to outreach

Read case study
How Rootly used Clay to scale outbound sales with leaner, smarter workflows
Load more
Talk to sales

Streamline data enrichment

Leverage 100+ data sources and an AI agent with 140M monthly runs.

Schedule a demo