Turn Clay into a reliable B2B sales automation engine

Growthcurve implements Clay B2B sales automation that takes you from messy lists and manual research to repeatable, data-driven outbound. We design enrichment waterfalls across 150+ premium sources, add conditional logic to control cost, and connect everything to your CRM and sequencing tools. We then layer AI personalisation so reps get accurate context and ready-to-send messaging, without losing control of quality. You get faster execution than building in-house, a team that integrates like internal staff, and an evidence-led cadence that keeps improving results month after month.

Waterfall enrichment, cleaner CRM
Personalised outbound at scale
Replace manual prospect research with automated revenue loops

Replace manual prospect research with automated revenue loops

Most B2B teams lose momentum in the unglamorous middle: list building, enrichment, deduping, and pushing clean data into the tools reps actually use. Clay's spreadsheet-like UI hides complexity, but the system still needs strong logic to avoid wasted credits and noisy outreach. We start by defining your ICP and the exact fields required for routing, personalisation, and reporting. Then we build a sourcing and enrichment pipeline: import lists (CSV, Sheets), pull contacts from directories, and enrich through multi-provider waterfalls. Next we apply conditional rules (if/then) to filter best-fit leads and score on signals like region, stage, and technographics. Finally, we activate: create or update records in HubSpot, Salesforce, or Pipedrive and push into sequencers. You get less admin drag, better targeting, and more rep time on conversations.

Why this matters now

B2B outbound is getting harder: inboxes are crowded, buyers are sceptical, and teams are being asked to do more with less headcount. At the same time, the advantage is shifting to companies that can detect intent earlier and respond with context that feels genuinely relevant. Manual research cannot keep up, and single-source enrichment leaves you with gaps that destroy personalisation and routing. Clay's approach, a workflow layer that combines 150+ data sources, conditional logic, and AI-assisted writing, fits the moment because it turns signals into actions quickly. The stakes are simple: either your team builds a reliable data-to-outreach loop, or you keep paying for activity that does not convert.
Top-of-funnel sourcing beyond LinkedIn limitations

Top-of-funnel sourcing beyond LinkedIn limitations

When everyone uses the same data sources, everyone emails the same people. Clay helps you widen the top of funnel by sourcing leads from places your competitors ignore, then using enrichment to turn that raw data into usable prospect records. We build workflows that pull from Google Maps, GitHub, industry directories, and your own uploads, and we connect intent-style signals such as funding rounds, hiring velocity, headcount growth, and regional expansion. Next we match accounts to your ICP rules and apply exclusions to avoid wasted sequences. We then enrich contacts with verified emails, mobiles where appropriate, and company context, using multiple providers to improve coverage. The outcome is a pipeline that is both broader and more relevant, built on triggers and fit, not on generic lists.

Waterfall enrichment and cost control that scales with volume

Waterfall enrichment and cost control that scales with volume

Enrichment quality is a compounding advantage, but only if you control cost and avoid low-yield lookups. Clay's waterfall enrichment queries multiple sources sequentially, so you can pay for successful hits rather than committing to one provider's gaps. We design the waterfall per field: work email verification, role and seniority, firmographics, technographics, and buying signals. Then we add conditional enrichment: only run premium steps for Tier 1 accounts, only fetch mobiles when a lead is sales-accepted, and only scrape websites when the company meets ICP thresholds. We also implement deduplication rules and standardised formatting so your CRM stays usable. This creates a stable foundation for outbound, ABM, and reporting, and prevents the common failure mode where automation increases activity but degrades data quality.

Where this fits

Clay B2B Sales Automation sits at the centre of your prospecting and RevOps workflow. Upstream, it pulls leads from lists, directories, and sources like Google Maps or GitHub, and enriches them using provider waterfalls across tools such as Clearbit, Apollo, Hunter, and LinkedIn Sales Navigator. Downstream, it pushes clean data and actions into your CRM and sequencers, and can sync to data warehouses or other systems via HTTP API steps. Operationally, it supports both SDR-led outbound and account-based motions, with scoring and routing that aligns sales and marketing around a shared definition of fit and intent. We implement it so your team can run it without relying on fragile scripts or constant engineering support.
AI personalisation that reps will actually trust

AI personalisation that reps will actually trust

AI-written outbound fails when it sounds generic or invents context. Clay's AI integrations, including Claygent-style workflows using GPT models, are most effective when they are fed structured, verified inputs. We build a personalisation system that pulls from LinkedIn bios, job postings, website pages, and the enrichment record, then outputs specific assets: a one-line icebreaker, a segment-relevant problem statement, and a short email sequence aligned to your positioning. We add guardrails so personalisation only uses retrieved facts and avoids sensitive claims. Where useful, we include categorisation that scores leads on custom criteria like intent signals, technographic fit, or engagement history, without relying on a generic CRM lead score. The result is higher relevance at scale and messaging your team is comfortable sending.

What success looks like

Success looks like predictable, high-quality outbound that scales without creating data chaos. Leading indicators include improved enrichment coverage on the fields your reps need, fewer duplicates, and faster time from list import or intent signal to a ready-to-contact record. You should also see cleaner segmentation, with clear rules that sales can trust, and better hand-offs because routing is based on fit and intent rather than gut feel. Commercial proof points show up in reply quality, meeting volume from your best segments, and shorter time-to-first-touch on high-intent accounts. The main levers are your enrichment waterfall design, conditional logic, scoring weights, and your personalisation templates, and we optimise those in a clear weekly cadence.
What is Clay B2B Sales Automation, and who is it best for?
Clay B2B Sales Automation is the setup of Clay workflows to source leads, enrich them through multi-provider waterfalls, score and segment them, then activate outreach and CRM updates automatically. It is best for B2B teams that rely on outbound, ABM, partnerships, or founder-led sales and want to increase relevance without hiring a large RevOps team. If your reps are spending hours researching accounts, your CRM is full of partial records, or your sequencing depends on stale lists, Clay is a strong fit. If you mainly sell through inbound only, the value is usually lower.
How do waterfall enrichment processes work in Clay?
A waterfall enrichment process queries multiple data providers in sequence to fill the same field, such as work email, role, or company firmographics. If the first provider fails or returns low-quality data, the workflow falls back to the next source. This matters because coverage varies widely by provider and by region, and single-source enrichment leaves gaps that break routing and personalisation. We also add conditional rules so premium lookups only run when an account meets your ICP thresholds. The goal is higher coverage and better cost efficiency, paying for success rather than paying for misses.
Can Clay help us find leads outside of LinkedIn?
Yes. Clay can source leads from places like Google Maps, GitHub, industry directories, and your own CSV or Google Sheets uploads, then enrich those records into usable contacts. This is useful when LinkedIn lists are saturated or when your best customers are not easily discoverable through standard filters. We then layer signals such as funding activity, hiring velocity, headcount changes, and technographics to prioritise which accounts to contact first. The result is a broader top of funnel without sacrificing fit, because sourcing is paired with strict ICP matching and scoring rules.
How do you use AI in Clay without producing generic outreach?
We use AI to draft, not to invent. The key is feeding AI verified inputs from enrichment, LinkedIn bios, job postings, and website pages, then constraining outputs to specific formats like an icebreaker, a two-line pain hypothesis, and a short sequence aligned to your positioning. Claygent-style workflows can help generate structured copy quickly, but we add guardrails: do not claim facts that are not present, avoid sensitive statements, and require a clear source for context. We also create templates and review steps so your team can approve tone and messaging before scaling.
Which sequencers and CRMs can you integrate with?
We commonly integrate Clay with HubSpot, Salesforce, and Pipedrive, and push outreach to sequencers such as Lemlist, Instantly, and Smartlead. For everything else, we can use native integrations, Zapier or Make, and HTTP API steps for custom stacks. The important part is field mapping and governance: deciding what Clay should create, what it should update, and what it should never touch. We also set up recurring syncs so new lists, new signals, and enrichment updates flow through without manual exports and imports.
How do you prevent duplicates and bad data from polluting our CRM?
We implement deduplication rules and standardisation before records are written to your CRM. That includes consistent company naming, domain matching, contact identifiers, and rules for when to create a new record versus update an existing one. We also run QA checks on required fields and verification status, so low-quality contacts do not enter your sequences. For ongoing hygiene, we set refresh cadences and monitor workflows for failure patterns. The aim is to use Clay to improve CRM integrity, not to create a second messy database that sales stops trusting.
What results should we expect from automating prospect research?
You should expect a large reduction in manual research time, plus better routing and personalisation quality, which typically improves the quality of conversations. The research provided cites cutting manual research by around 70 percent when Clay automation is implemented well; we treat that as a target to validate in your context by measuring time saved per rep and the speed from signal to first touch. We avoid promising specific reply or pipeline uplifts because they vary by market, offer, and list quality. What we can promise is a measurable system with clear levers you can optimise.
How long does it take to get a working Clay sales automation live?
Speed depends on your current data hygiene and how clear your ICP and routing rules are, but we aim to ship a working first workflow quickly. Typically we start with a narrow slice: ingest a list, enrich through a waterfall, score and segment, then push to your CRM and sequencer. Once that is stable, we expand to additional sources, intent signals, and event-driven triggers such as new CRM records or weekly refreshes. Because Clay is no-code, implementation is often faster than building custom pipelines, and we work on a monthly rolling basis so you can scale only when it proves value.
Who should own Clay: Sales, RevOps, or Growth?
Clay works best as a shared system with clear ownership boundaries. RevOps typically owns CRM governance, deduplication rules, and field mappings. Sales owns what counts as a qualified lead and how routing should work. Growth often owns segmentation logic, messaging inputs, and performance analysis by segment. We help you set this up with documented workflows, versioning, and a simple change process, so the system does not become dependent on one person. The biggest risk is treating Clay as a side project rather than a core part of your sales operating model.
Automated qualification, routing, and alerts for high-intent moments

Automated qualification, routing, and alerts for high-intent moments

Speed matters most when a buyer is showing intent, and manual routing is where high-intent leads die. We build Clay workflows that detect qualifying events, enrich the account and contact instantly, and route the right context to the right person. Typical flows include: new lead appears in CRM, enrich, score, assign owner, create tasks, and push a tailored sequence to Lemlist, Instantly, or Smartlead. For account-based motions, we build dynamic audiences that combine enrichment, intent signals, and CRM stage data to surface high-intent accounts and alert reps when signals spike. We also create enriched notes and summaries so reps open the record and instantly know why the account is worth their time. The outcome is faster follow-up, cleaner hand-offs, and fewer missed windows.

Integrations that keep your GTM stack in sync

Integrations that keep your GTM stack in sync

Clay delivers value when it is connected end to end, not when it lives as a standalone sheet. We integrate Clay with your CRM (HubSpot, Salesforce, Pipedrive), your sequencers, and your ops tooling using native connectors, Zapier or Make, and HTTP APIs for custom stacks. We design field mappings and permissions carefully so automation updates the right fields without breaking existing processes. We also add recurring refreshes to keep data current, plus versioning so workflow changes are controlled and reversible. If you rely on data warehouses, ad managers, or a CMS, we can sync segments and attributes on a schedule so targeting stays aligned across teams. The result is one source of truth for outbound readiness and a GTM engine that does not require engineering tickets to maintain.

Measurement and iteration: make automation pay for itself

Measurement and iteration: make automation pay for itself

Automation should improve quality and efficiency, not just increase send volume. We set up measurement from day one: enrichment hit rates by provider, cost per enriched contact, dedupe rates, and the percentage of leads that meet ICP thresholds after scoring. On the sales side, we track reply quality, meetings booked by segment, and speed from signal to first touch. We also monitor workflow health: failure points, API errors, and steps that burn credits without improving outcomes. The research highlights that Clay-driven automation can cut manual research by around 70 percent when built well; we validate this in your team by measuring time saved per rep and reallocating effort to higher-value work. Then we iterate weekly, adjusting waterfalls, scoring weights, and personalisation templates based on evidence.

Why Growthcurve

Clay can be a force multiplier or a noisy spreadsheet. The difference is implementation quality and operational discipline. Growthcurve brings a complete growth team that integrates like internal staff, so you get strategy, RevOps execution, and performance iteration in one place. We deliver faster than in-house teams or typical agencies because we use proven build patterns, proprietary AI marketing tools, and a real-time performance dashboard that keeps everyone aligned. You also avoid agency misalignment: no commission on ad spend, no long-term contracts, and the ability to scale specialist resources up or down as your GTM motion evolves. We keep the work evidence-led, so automation is judged by outcomes, not by how complex the workflow looks.

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