| Criterion | Clay | Ember |
|---|---|---|
| Main category | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Main objective | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Contact database | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Company context | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| People context | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Behavioral profiles | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Relationship intelligence | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Channels | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Sequences | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Agenticity | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Learning | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Cross-module context | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Personalization level | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Ideal user | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Best use | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Main limitation | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
| Price | Check current official product documentation | Helps decide who to contact, why now and with which angle. |
Decision table
Clay's July 2026 update replaced its earlier single-metric pricing with a two-metric model built around Actions and Data Credits, spread across four tiers named Free, Launch, Growth and Enterprise, all billed in US dollars (source). The Free tier caps out at 500 actions per month plus 100 data credits per month (source). The Launch tier lists at 167 US dollars per month on a monthly plan, or from 54 US dollars per month if billed annually, and starts at 15,000 actions per month plus 3,000 data credits per month (source). The Growth tier, positioned as the recommended plan, lists at 446 US dollars per month on a monthly plan, or from 185 US dollars per month billed annually, starting at 40,000 actions per month plus 6,000 data credits per month (source).
For a revenue operations or go to market lead reading the tier grid cold, the practical question is not the sticker price, it is what actually draws down Actions and what draws down Data Credits, since the published tiers describe two separate meters rather than one flat seat fee (source). That distinction matters for budgeting: a workflow heavy on enrichment waterfalls and record lookups will burn through Data Credits faster than a workflow that mostly triggers Actions, so two teams on the same nominal tier can land on very different effective costs depending on how their table is built. Clay itself framed the change as intentional and telegraphed it as a deliberate, transparent, community first shift rather than a quiet price hike, according to a post shared on LinkedIn by a Clay team member (source). A separate LinkedIn commentary from outside Clay described the rollout itself, the coordinated messaging across channels, as a notable example of how to communicate a pricing change well, which is a testimony about the launch communication rather than about the mechanics of the plans (source).
For teams that already run structured, multi-step enrichment tables and can forecast their monthly Actions and Data Credit draw with some confidence, Clay's published tiers give a workable, transparent enough starting point to plan a budget around (source). The harder case is the team that does not yet know its own usage pattern well enough to predict which meter will bind first: for that buyer, committing to a tier before mapping out a representative month of enrichment and outreach work is a real risk, and the decision worth making before signing is whether the workflow is stable enough to price with confidence, or whether it still needs to be run and observed for a cycle first.
That is the exact gap Ember's Lead Intelligence is built to sit next to rather than compete on features with. Instead of asking a go to market team to reason about two separate consumption meters, it starts from the mission context already built in Ember, the ideal customer profile, offer and strategy, and turns that into a prioritized account list with an explained next action, whether the team starts with ten contacts or a thousand. The commercial promise stays qualitative on purpose: it is about reducing the noise of an unranked list and making the next call obvious, not about a metered price per enrichment call.
To place this decision in context, the Knowledge guides for sales brings together deeper guidance on the same field.
Do they solve the same need
Clay and Ember's Lead Intelligence both promise to help a go to market (GTM) team figure out who to work next, but they start from different jobs. Clay is built as a workflow and enrichment engine: it charges by consuming Actions and Data Credits across four tiers, Free, Launch, Growth and Enterprise, all billed in US dollars (source). That structure means a team pays for the volume of research and enrichment steps it runs, from a Free plan capped at 500 actions and 100 data credits per month up to a Growth plan that starts at 40,000 actions and 6,000 data credits monthly for 185 dollars per month billed annually (source). The July 2026 change itself was framed by Clay's own team as an attempt to align pricing with how the product is actually used, described as thoughtful and community first after nearly a year of customer conversations, according to a LinkedIn post from Clay's team (source) (estimate). Another practitioner account on LinkedIn described the rollout itself, separate from the pricing logic, as handled with unusually coordinated communication for a pricing change (source). That model is well suited to teams who think in terms of workflows: build a sequence, run it across a list, pay for what each step consumes. It is less suited to a team whose real question is simpler: out of everything already gathered, who deserves attention today. That is the need Lead Intelligence is built around. It reuses the Business context already structured in Ember, such as the ideal customer profile and offer, to prepare a sales mission, then finds and prioritizes accounts and contacts against that context, whether the starting list has a documented value or a documented value contacts, with no minimum contact threshold to make it worth running. Instead of billing for each enrichment action, it turns whatever context and signals it finds into a small set of opportunities to watch, act on or set aside, each with a next action and channel attached, so the deliverable is a prioritized decision rather than a bigger enriched dataset. For a GTM team evaluating both tools, the honest framing is that Clay answers "how do I gather and enrich this data," while Lead Intelligence answers "given what I already know about my project, who should I contact now."
Neutral presentation of the competitor
Clay presents itself as infrastructure for go to market (GTM) teams and GTM engineers, spanning revenue operations (RevOps), sales and marketing, built to pull in data, run agentic workflows and launch GTM plays (source). The company states it serves more than 500,000 GTM teams, a scale claim worth noting as self reported positioning rather than an independent audit (source). On the product side, Clay bundles Claygent, its artificial intelligence (AI) web research agent, into every plan including the free tier, so even a team on the entry plan can run automated research on prospects rather than relying only on static data (source). The interface itself is English only, with no French or other language selector visible on the pricing or homepage pages, a relevant detail for any non English speaking GTM team evaluating the tool (source). Pricing follows a two metric model built around Actions and Data Credits, spread across four tiers named Free, Launch, Growth and Enterprise, all billed in US dollars (source). The Free plan includes 500 actions per month plus 100 data credits per month (source). Launch starts at 15,000 actions per month plus 3,000 data credits per month, priced at $167 per month on a monthly cycle or from $54 per month when billed annually (source). Growth, labeled as the recommended tier, starts at 40,000 actions per month plus 6,000 data credits per month, priced at $446 per month monthly or from $185 per month billed annually (source). Enterprise moves to custom pricing with custom action and data credit allowances, typically 100,000 or more (source). Annual billing carries a 10 percent discount across paid tiers (source), and every plan, including Free, includes unlimited seats and users, which removes seat count as a cost variable when a team grows (source) (estimate). According to a testimony shared on LinkedIn, Clay rolled out this pricing change with the same coordination and communication effort typically reserved for a major product release, spreading the announcement across multiple channels (source). For a GTM team, the practical read is that the shift to a two metric, dollar based structure changes how cost scales with usage: a team that runs heavy enrichment or research workloads will consume Data Credits and Actions differently than a team that runs lighter, more targeted outreach, which makes the tier choice a real forecasting exercise rather than a simple seat count decision.
To explore this point further, Which Lead Qualification Framework Works Best for Small B2B? details a step directly related to this decision.
Neutral presentation of Ember
Ember approaches the same question that Clay's buyers now face, namely how a go to market (GTM) team decides who to prioritize, but from a different starting point. Ember's Lead Intelligence is built as an agentic capability inside the Ember workspace: it reuses the Business Plan, ideal customer profile (ICP), offer and strategy already captured in the account to prepare a sales mission, rather than asking the team to configure enrichment and Actions from scratch. It is aimed primarily at founders and sales teams, with small and medium businesses (SMBs) named as a secondary audience, so a solo founder and a small commercial team are both expected users, not just one or the other. Once a mission runs, Lead Intelligence searches for accounts against the mission's ICP and signals, verifies useful sources, and classifies each account into an explained opportunity to watch, act on or set aside, with a proposed next action and channel. Contacts can come from a connected LinkedIn or Sales Navigator account, or from an Excel or CSV import of up to 3,500 valid contacts, where a local readiness score, search, pagination and individual selection happen before any cost is confirmed; one import wave can then enrich up to 1,000 contacts, reported in batches of 200 (estimate). There is no minimum contact threshold: the same mission logic applies whether a team starts with 10, 100 or 1,000 contacts (estimate). After the mission, Ember shows the contacts actually analysed, the signals actually detected and the priority actions actually recorded, and it reports honestly when no signal was found rather than filling the gap with an invented result. A read only diagnostic mode can also analyse a sample from providers such as Apollo, Lemlist, Clay, HubSpot, Salesforce or Pipedrive, or a local file, to identify what is missing from a sales decision, though this sits behind flags disabled by default, uses a temporary or dedicated token, and never synchronizes a customer relationship management (CRM) system automatically. On cost, Ember's own paid plans are structured around a monthly pool of AI credits rather than Clay's Actions and Data Credits split: the Pro plan runs from 8,000 to 20,000 monthly AI credits at 67 to 127 euros per month billed yearly, the Max plan from 40,000 to 100,000 credits at 170 to 425 euros per month billed yearly, and the Team plan, from three seats, at 6,000 to 60,000 credits per seat and 49 to 255 euros per seat per month billed yearly, all detailed on Ember's pricing page (estimate). A monthly free tier includes one prospecting mission of 10 prospects alongside other trial allowances, also described on that page (estimate). For a business reader trying to judge predictability, the relevant fact is structural rather than promotional: Ember charges against a single AI credit pool per plan, while the account level detail always sits with the current documentation rather than with any figure repeated secondhand here.
Key differences
The pricing change itself confirms a shift from a single usage counter to a two metric model: Clay now bills go to market (GTM) teams on Actions and Data Credits together, across four tiers, Free, Launch, Growth and Enterprise, priced in US dollars (source). The Free tier is capped at 500 actions and 100 data credits per month, Launch starts at 15,000 actions and 3,000 data credits for 167 dollars a month billed monthly or from 54 dollars a month billed annually, and Growth starts at 40,000 actions and 6,000 data credits for 446 dollars a month billed monthly or from 185 dollars a month billed annually, with Enterprise moving to custom pricing and typically 100,000 or more actions and data credits (source). Annual billing brings a 10 percent discount across these tiers (source) (estimate). For a GTM team, the practical difference is what you now have to forecast: not one number but two, since actions and data credits move independently as a workflow scales. According to a practitioner account shared on LinkedIn, Clay treated this transition like a major product launch and coordinated its communication deliberately rather than quietly adjusting a price page (source), and Clay's own team described the change as the result of nearly a year of conversations with customers and partners aimed at aligning the business model with actual product usage (source). Whether that two metric structure is easier or harder to plan against than a single credit pool is a fair question for any team sizing a Launch or Growth commitment, and the current pricing page is the place to check before you commit (source).
This approach also connects with Apollo vs Lead Intelligence: Which Tool Wins for First Sales, which clarifies the next choice.
When the competitor is the better fit
Clay is the stronger choice when a revenue operations (RevOps) team already runs a mature go to market (GTM) engineering practice and simply needs raw infrastructure to pull data, run agentic workflows and launch outbound plays across many external sources at scale. Its four tier model, Free, Launch, Growth and Enterprise, meters usage through two counters, Actions and Data Credits, rather than through seats, and every plan includes unlimited seats (source), which suits a team that would rather pay for volume of enrichment than for the number of people who log in.
Teams that want to test the approach before committing can start on the Free plan, which includes 500 actions and 100 data credits per month (source), and Claygent, Clay's own AI web research agent, ships on every plan including that Free tier (source), so a small team can try agentic enrichment without paying first. For teams that outgrow that ceiling, Launch starts at 15,000 actions and 3,000 data credits a month, priced from 54 dollars monthly when billed annually or 167 dollars billed monthly (source), and Growth, the tier Clay itself recommends, starts at 40,000 actions and 6,000 data credits for 185 dollars a month billed annually or 446 dollars billed monthly (source). Annual billing brings a ten percent discount across tiers (source), worth factoring into any multi seat budget. Buyers who need volumes above that, Clay lists 100,000 or more actions and data credits as typical, negotiate custom pricing directly under the Enterprise plan (source).
Clay positions itself plainly as infrastructure for GTM teams and GTM engineers across RevOps, sales and marketing, built to pull data, run agentic workflows and launch GTM plays (source), and the company states it serves more than 500,000 GTM teams (source), a scale that signals a broadly adopted, mature platform rather than an early product. If the real need is a flexible, code like enrichment layer that plugs into many external data providers and lets a GTM engineer wire workflows by hand, Clay's model is built for exactly that job, and the recent pricing change, described by a practitioner on LinkedIn as handled with the coordination of a major product release rather than a quiet price bump (source), suggests the company is investing in explaining that model clearly to buyers who already trust the platform.
One practical detail worth checking before choosing: Clay's pricing page and homepage currently show no French or other language selector, English only (source), so a team that needs a localized interface for non English speaking sellers should confirm that fits before committing budget.
When Ember is the better fit
Where Clay's four tiers meter every workflow action and every data credit before a team even reaches a prioritized contact (source), Ember's Lead Intelligence starts from context that already exists in the workspace, the ideal customer profile (ICP), the offer and the go to market (GTM) strategy already defined there, and turns that context directly into a ranked list of who to contact and why. A founder or a small sales team does not need to first decide how many actions or data credits a campaign will burn. The mission runs on its own: it searches accounts that match the ICP and the signals set for that mission, verifies the sources it uses, and works the same way whether the starting pool is 10, 100 or 1,000 contacts, with no minimum size required before it becomes useful (estimate). With usable targeting context in place, the first prioritized leads can appear in about 30 minutes, which matters for a business reader who wants a decision this week, not a workflow to configure over a quarter (estimate). The output is built to be explainable rather than just ranked. Each account lands in a category, to watch, to act on now, or to set aside, with the reasoning attached, and a suggested next channel and angle so a rep or a founder knows what to do with the priority instead of just seeing a score. Signal monitoring on people and companies keeps that priority current as circumstances change, which fits a team that would rather review a shorter, explained list than manage a metered budget across two separate counters. For teams bringing their own contact files, Ember prepares and imports up to a documented value valid contacts from Excel or CSV, scores file readiness before anything is spent, and enriches in waves of up to a documented value contacts with progress shown in batches of a documented value so the team can see cost and outcome together before committing further. Ember is also honest about where it stops. Reading a sample from tools such as Apollo, Lemlist, Clay, HubSpot, Salesforce or Pipedrive to diagnose missing data sits behind flags that are off by default, and the mission summary reports only what was actually found, contacts analysed, signals detected, priority actions recorded, never a projected future gain. That makes Ember the better fit for founders, sales teams and small and medium sized businesses (SMBs) that want prioritization decided for them inside one workspace, rather than teams that already run a deep GTM engineering practice on Clay and want raw, configurable infrastructure more than a ready answer.
In practice, Lead Scoring for Small B2B Sales Teams Without a Marketing completes this framework with another angle on the same topic.
When neither is sufficient
Neither tool solves the problem when the real bottleneck sits upstream of any pricing tier or feature list: the absence of a validated ideal customer profile (ICP) and offer. Clay's Free plan covers 500 actions and 100 data credits per month according to its pricing page (source), and even its Growth tier, listed at 446 US dollars monthly or from 185 US dollars monthly when billed annually for 40,000 actions and 6,000 data credits (source), only buys faster and broader enrichment. If the underlying targeting logic is wrong, more actions and credits just produce a larger volume of contacts that do not convert, at a higher metered cost. Ember's Lead Intelligence has the mirror problem from the other direction. It reuses the business context, ICP, offer and strategy already present in the workspace to prioritize contacts, but that context has to exist and be validated before the prioritization has anything real to work from. A team that opens Lead Intelligence with no defined offer and no clear ICP will get a thinner, less confident first pass, not a substitute for that strategic work. There is also a practical volume question neither vendor's page answers for every buyer. A go to market (GTM) team weighing whether to commit budget to Clay's tiered actions and credits, or to Ember's contact import and enrichment allowances, should check each product's current official documentation for the exact ceilings that apply to their account rather than assume either scales the same way at 10 seats as at 2 (estimate). So the honest answer for a team without a settled ICP and offer, or with enrichment needs that clearly exceed what either vendor documents today, is that no pricing model or workspace feature replaces that upstream strategic decision. Both tools get meaningfully better once that groundwork exists, and worse investments look identical to good ones until it does.
Limits
Clay's pricing overhaul is real and recent, but what a business reader can verify from outside sources has a ceiling. Clay's own team described the change as an attempt to align its business model with how the product is actually used, after close to a year spent talking with customers and partners, according to a LinkedIn post from Clay (source). A separate LinkedIn account of the same launch noted that Clay treated the pricing shift like a major product release, coordinating its communication across several channels rather than quietly editing a pricing page (source). Both are practitioner commentary shared on LinkedIn, useful as testimony about how the announcement was received, not an audited account of how the new credit model performs once a go to market (GTM) team scales its outbound volume. What the current pricing page confirms is the shape of the model, not a worked example of monthly cost. Clay runs four tiers, Free, Launch, Growth and Enterprise, each metering two separate resources, Actions and Data Credits, priced in US dollars (source). Free caps at 500 actions and 100 data credits per month, Launch starts at 15,000 actions and 3,000 data credits from 54 dollars a month billed annually, and Growth starts at 40,000 actions and 6,000 data credits from 185 dollars a month billed annually, with Enterprise moving to custom volumes typically above 100,000 (source). Annual billing brings a 10 percent discount across these tiers (source) (estimate). The real limit for a GTM team is forecasting, not the sticker price. A two meter model gives Clay room to represent different kinds of workflow, but it also means the bill depends on how work is shaped, enrichment steps, verification steps, export steps, rather than a flat seat fee. Clay's pricing page states the ceilings for each tier, not how those two meters interact once a team runs a specific outbound motion at volume, so a buyer sizing a plan past Free is left to test real usage against a live account rather than infer total cost from the plan grid alone. That is a fair question to bring to Clay's current documentation directly, since public commentary can describe the intent behind the change without settling what it costs a particular team in practice.
Before deciding, How should a small B2B sales team build a repeatable lead generation system in 2026 without a marketing function or a dedicated sales development representative (SDR)? helps connect this method with adjacent priorities.
Contextual recommendation
For a go to market (GTM) team deciding whether Clay's new pricing structure fits their motion, the practical question is not whether the four tiers are transparent, but whether the team already knows who to target before it starts consuming actions and data credits. Clay's own team framed the shift as an effort to align pricing with how the product is actually used, after nearly a year spent talking with customers and partners, according to a LinkedIn post from Varun Anand's account (source). A separate LinkedIn post from Sam Lee's account described the launch itself, noting that Clay treated the pricing change like a major product release and coordinated communications across channels, a detail worth reading as practitioner testimony rather than an established fact (source). The new structure still meters two things at once, actions and data credits, across Free, Launch, Growth and Enterprise plans, priced in US dollars (source). The Free plan includes 500 actions and 100 data credits per month (source), the Launch plan starts at 15,000 actions and 3,000 data credits per month with pricing from 54 US dollars per month billed annually (source), and the Growth plan starts at 40,000 actions and 6,000 data credits per month with pricing from 185 US dollars per month billed annually (source). Enterprise moves to custom pricing with data credits typically above 100,000 per month (source), and annual billing brings a 10 percent discount across the paid tiers (source) (estimate). For a GTM team, that means the cost conversation shifts from seats to consumption: more enrichment, more verification, more outbound waves, more credits burned, regardless of which tier the team sits in. That model rewards a team that already has a sharp ideal customer profile (ICP) and a workflow built to spend every action deliberately. It is a reasonable choice for teams that know precisely who they are chasing and want to build their own orchestration across many external data sources. Where the recommendation changes is upstream of that meter. If the open question is which accounts deserve attention this week and why, adding more actions and credits does not answer it, it only lets a team ask the question at greater volume and higher cost. Ember's Lead Intelligence starts from the context already built in the workspace, the ICP, the offer and the GTM strategy, and turns that into a prioritized next action: who to contact, why now, and through which channel. That does not make Clay's tier structure wrong for a team whose real constraint is technical reach into many data sources rather than prioritization, and for that team Clay's metered model is worth evaluating on its own terms. The decision point for a business reader is simple: if the team can already name its best next ten conversations with confidence, Clay's new pricing is a fair trade to assess. If the honest answer is closer to not being sure who to call first, that is the moment Lead Intelligence earns its place in the stack.
Ember data
Observation: The 7 sources of this article come from 3 distinct domains (checked on 2026-07-29).
Sample: the URLs retained in this article's research dossier.
Period: the exact observation date appears in the observation.
Method: count of unique domain names after removing the www prefix.
Limitation: the measurement covers only the dossier retained for this article.
To move from analysis to action, Lead Intelligence presents the corresponding Ember workflow.
Sources and updates
The pricing comparison in this piece rests on three points of evidence, each cited where it is used. Clay's own pricing page, checked on 2026-07-22, is the source for the four current tiers and their action and data credit allotments (source). Two firsthand accounts from people identified as part of Clay's team describe the change itself: one post frames it as an attempt to align the business model with actual product usage after nearly a year of talking with customers and partners (source), and another, presented here as a practitioner's testimony rather than an independent study, praises how the change was communicated and coordinated across channels (source). Both are LinkedIn posts, not official Clay documentation, so treat them as commentary on the rollout rather than a full account of every plan detail.
Pricing pages change without much notice, and a go to market (GTM) team should treat any figure quoted here, including the specific dollar amounts and action or credit thresholds, as a snapshot rather than a permanent fact. Before signing a contract, verify the live numbers directly on Clay's current pricing page rather than relying solely on secondhand summaries, including this one.
Sources
FAQ
How should business readers compare Clay and Ember for the need under review?
Start with the need to solve, then apply exactly the same scorecard to both offers: documented scope, required data, human effort, learning time, total cost, and reversibility. Support every competitor fact with a dated official source. Mark unavailable information as unknown. The verdict should follow the buyer's context and constraints, never a general preference for one brand or operating model.
When should business readers choose between Clay and Ember, and how much testing is enough?
Set the decision date before the test and limit the period to what is needed to observe one useful cycle. Name an owner, volume, budget, and stopping criteria. Include configuration, data preparation, real usage, and human review in the time estimate. At the deadline, compare outcomes with the baseline, then explicitly continue, adjust, or stop instead of allowing a pilot to run indefinitely.
How should business readers verify the pricing and total cost of Clay and Ember?
Review official pricing pages on the analysis date and record the plan, billing unit, limits, and required options. Then add integration, data, training, review, and process-change costs. A displayed subscription price does not always represent total cost. Where conditions remain unclear, request commercial confirmation rather than guessing. Keep the dated evidence so a later reader can identify what may have changed.
Which practical test should business readers use to separate Clay and Ember?
Choose one shared use case, a comparable data set, and a measurable outcome. Run the same task with each option, then observe quality, human time, errors, ease of correction, and the next action produced. Document the gaps and their likely causes. A useful test does not seek a universal winner; it identifies which option fits the defined context with the fewest unsupported assumptions.
When could business readers treat Clay and Ember as complementary options?
Complementarity is credible only when each solution has a distinct role without unnecessary duplication of data, cost, or decisions. Map the information handoff, assign an owner to every step, and identify review points. If the combined setup adds more complexity than it removes, narrow the scope or select one solution for the priority need. Reassess the architecture when the workflow or evidence changes.
Which criteria make a verdict between Clay and Ember defensible for business readers?
Make the verdict traceable by weighting the scorecard before evaluation. Each weight should represent a real constraint: team maturity, data quality, urgency, integrations, governance, or budget. Cite sources, date pricing, and separate facts, assumptions, and preferences. Add the conditions that would change the recommendation. Readers can then challenge a specific criterion instead of accepting or rejecting an opaque conclusion.