Built for lead management

Lead mgmt that runs the full lifecycle on one record instead of across five systems.

Lead management is the specific discipline of carrying a prospect from first-touch through qualified-opportunity: capture, score, route, nurture, qualify, convert. Each handoff between those steps is where leads leak. Strkr runs the full lead management lifecycle on one record of truth.

Start free trial See pricing
What this audience is actually dealing with

The pains that bring buyers here.

Lead management is the connective tissue between marketing and sales, and the specific place where most B2B teams lose 30 to 50 percent of their generated leads. The failures are quiet. The lead comes in from a form submission. The marketing automation platform enrolls it in a nurture sequence. The scoring runs. The lead crosses the MQL threshold. The handoff fires to the CRM. The AE picks up the lead with limited context. The AE either acts on the lead within the first-contact window or does not. If not, the lead gets stuck in the "working" status for weeks before someone remembers to review the AE's untouched leads. If so, the AE qualifies and either converts to opportunity or marks as "not qualified." The specific statistic that haunts every demand gen team: on a typical mid-market SaaS, roughly 40 to 60 percent of MQLs never get worked by sales, never get re-qualified, and never get back to marketing for recycle. The leads just sit there, aging, dying in the system. Daniel running RevOps at a 50-person SaaS wants the lead management lifecycle to be observable and recoverable so leads do not die quietly between the handoffs. The six pain points below are the specific friction patterns customers describe. We fix them by running the full lifecycle on one record.

The MQL handoff black hole

40 to 60 percent of MQLs never get worked by sales.

Marketing hands off MQLs to sales. Sales accepts a subset, works a smaller subset, and the rest sit in the CRM with the "working" status for months. Marketing cannot see which specific MQLs are rotting. Sales cannot easily recycle the untouched leads back to marketing. The specific accountability gap is where leads die. Strkr's lead-rot detection flags untouched MQLs after configurable windows and routes them for recycle or disqualification instead of letting them age silently.

Scoring that nobody trusts

The 85 score and the AE's gut disagree.

Lead scoring systems produce numbers that sales teams frequently distrust because the signals driving the score are opaque. A lead at 85 looks hot on the marketing dashboard and reads cold on the AE first-call. Over multiple MQL rejections, the AE stops trusting the score. The specific transparency problem is that the AE does not see which signals pushed the score up. Strkr's scoring surface shows the top contributing signals so the AE sees why the score reads 85 and can act on the specific signals.

Routing that strands leads

The lead routed to the AE who left two weeks ago.

Routing rules that reference specific AE assignments go stale when AEs leave, change territories, or hit capacity caps. Leads route to inactive owners and sit for weeks. The specific case of an AE departure typically produces 30 to 80 orphan leads that stay orphaned until the territory manager runs a specific audit. Strkr's routing engine detects inactive owners automatically and reroutes based on the current territory configuration.

Nurture-to-sales lag

The MA platform re-engagement never reached the CRM.

When a nurture sequence produces re-engagement signals (email click, specific page visit, content download), the signal lives in the marketing automation platform. The handoff to the AE depends on sync pipelines that run on batch cadence. The AE finds out about the re-engagement a day or two later, by which point the window has closed. Strkr's unified timeline surfaces re-engagement signals in real time to the AE assigned to the lead.

Dedupe failures

The same lead creates five records across tools.

Lead-level deduplication is harder than it looks when the data comes from multiple sources: form submissions, imported lists, enrichment vendors, conference exports, chat conversations. The same person can enter the system under five slightly-different email formats or company spellings. Each system has its own dedupe logic and the inter-system dedupe fails. Strkr runs unified dedupe across all sources with normalized matching logic that catches the common variations.

Conversion attribution opaque

The deal closed; nobody can tie back to the specific MQL.

When a lead converts to opportunity and the opportunity closes, the specific MQL that preceded the conversion is often lost because the opportunity creation did not preserve the lead reference. Marketing cannot attribute the closed deal back to the specific campaign and content that produced the lead. Strkr's lead-to-opportunity relationship preserves bidirectionally so the closed-deal attribution ties back cleanly.

What the lead management surface ships

Capture, score, route, nurture, convert on one record.

Strkr's lead management surface runs nine capabilities on the lead record from first-touch through opportunity creation. The cards below describe each capability with operational specifics.

Lifecycle stage management

New, working, nurturing, MQL, SQL, converted.

Every lead carries a lifecycle stage that reflects its current state in the management flow: new (just captured, not yet contacted), working (AE actively engaged), nurturing (in marketing-driven cadence awaiting re-engagement signals), MQL (reached marketing qualified threshold), SQL (sales accepted as qualified), converted (opportunity created). Stage transitions log with timestamp and the specific trigger. The pipeline view can filter by lifecycle stage so the RevOps lead sees the specific states of concern.

Transparent scoring

Every score shows the signals that drove it.

Lead scoring runs on configured scoring rules that weight specific signals (demographic fit, behavioral engagement, intent signals, product-usage signals for PLG motions, prior relationship signals). Each lead's score surfaces with the top 5 contributing signals cited so the AE sees exactly why the lead reads 72 instead of 48. The transparency builds AE trust in the scoring surface, which drives higher MQL acceptance rates.

Routing engine

Territory, segment, round-robin, capacity-aware.

The routing engine distributes leads based on configurable rules: territory routing by geography, segment routing by firmographic criteria, product-line routing, round-robin balancing with capacity awareness (skip the AE at 100 percent of open-deal cap), ICP-match routing (route high-match leads to senior AEs), and OOO handling (skip AEs on PTO). The engine runs on live data so AE departures or territory changes propagate instantly.

Lead-rot detection

Untouched leads surface for recycle.

The lead-rot detector flags leads that have aged in a specific state without appropriate action: new leads not contacted within the first-contact SLA, MQLs sitting in working status for configurable periods, nurturing leads with no re-engagement signal in the past 90 days, SQLs without opportunity creation within the sales-cycle window. Flagged leads route for review, recycle to marketing, or disqualification based on the specific rot pattern.

Nurture sequence native

Multi-touch email, SMS, specific-event cadences.

Nurture sequences run natively with multi-touch campaigns across email, SMS, specific content delivery, and event triggers. Sequence enrollment ties to lead attributes (segment, ICP match, product interest, specific content engagement). Re-engagement signals (email click, page visit, content download) surface in real time to the AE assigned to the lead. The nurture-to-sales handoff fires on configurable thresholds without the sync lag of a separate MA platform.

Unified dedupe

Normalized matching across all sources.

Dedupe runs on every lead-creation path: form submissions, outbound discovery, list imports, enrichment-sourced records, conference uploads, chat conversations, API-pushed records. Matching logic normalizes email addresses (case, specific-domain variations), phone numbers (E.164), company names (specific legal-form variations), and uses enrichment-sourced LinkedIn URLs as strong-signal match. Duplicates merge with history preservation on both source records.

Lead-to-opportunity bidirectional link

The converted opportunity preserves the lead reference.

When a lead converts to opportunity, the lead record preserves and links bidirectionally to the resulting opportunity. The opportunity carries the full lead-stage history, scoring progression, campaign attribution, and content touches. When the opportunity closes, the attribution reports back to the specific MQL and the specific campaign that produced it. Marketing attribution closes the loop cleanly.

Recycle workflow

Disqualified leads route back to nurture with reason retained.

When sales disqualifies a lead (not a fit, timing wrong, budget misaligned), the lead does not disappear. The disqualification reason retains on the record. The lead routes back to a specific nurture track based on the disqualification reason (not a fit routes to retargeting, timing wrong routes to a long-cycle nurture with a specific wait period, budget misaligned routes to a different-tier nurture). The specific recycle logic prevents the "disqualified means gone forever" pattern that wastes earlier marketing investment.

Lead-source attribution

First-touch, last-touch, multi-touch on the lead timeline.

Every touch on a lead (initial source, subsequent re-engagements, specific content interactions, outbound sequence touches, direct AE outreach) logs to the lead timeline with the full attribution metadata. The attribution analysis computes multiple attribution models from the same timeline. When the lead converts and the opportunity closes, the attribution ties back to the specific sources that produced the pipeline.

How the lead management lifecycle runs

From capture to conversion in specific states.

Lead management is a stateful discipline. The six cards below walk the specific lifecycle states and the specific operational logic Strkr runs at each transition.

State: New

Lead just captured, awaiting first contact.

A lead in the New state has just been captured via form submission, outbound discovery, list import, or specific creation event. The lifecycle timer starts. The first-contact SLA (configurable, typically 5 to 60 minutes for inbound, 24 hours for outbound) counts down. If the SLA busts, the lead flags for immediate review. Lead-rot detection does not fire in this state because the lead has not had time to go stale yet.

State: Working

AE actively engaged, pursuing qualification.

A lead in the Working state has an assigned AE who has made first contact and is pursuing qualification. Activity logs expected on a cadence (typically 7 to 14 day activity touch minimum). Leads with no activity in the configured working-window flag as rotting and route for intervention. Common interventions: reassign to another AE, revert to nurturing state, disqualify with reason, or escalate to sales management.

State: Nurturing

In marketing cadence, awaiting re-engagement.

A lead in the Nurturing state is not currently being worked by sales but is receiving marketing-driven touches (email nurture, specific content delivery, retargeting ads for teams with ad-platform integration). Re-engagement signals (email click, page visit, content download, specific behavioral triggers) move the lead back toward Working or toward MQL depending on the signal strength. Extended time in nurturing without re-engagement eventually triggers lead-rot flagging for recycle or deletion.

State: MQL

Marketing-qualified, ready for sales acceptance.

A lead reaching the MQL threshold (score above the configured cutoff plus specific triggers like demo request or pricing-page visit) transitions to MQL state. The handoff to sales fires with full context: enrichment data, engagement history, scoring with contributing signals, AI-generated handoff brief. Sales has a configurable window (typically 24 to 72 hours) to accept the MQL as SQL or reject with reason. Rejected MQLs route back for recycle; accepted ones transition to SQL.

State: SQL

Sales-accepted, pursuing opportunity creation.

A lead in the SQL state has been accepted by sales as qualified. The AE pursues opportunity creation with the specific discovery conversation, qualification against the sales methodology (MEDDPICC or Challenger or equivalent), and specific next-step commitment. SQLs that do not convert to opportunity within the configured window (typically 2 to 4 weeks depending on sales motion) flag for review. The specific gap between SQL and opportunity creation often reveals qualification problems the AE needs management help on.

State: Converted

Opportunity created, lead retained for attribution.

When the AE creates an opportunity from the SQL, the lead state transitions to Converted. The lead record preserves with the bidirectional link to the opportunity. The opportunity inherits the lead's attribution metadata, engagement history, scoring progression, and content touches. When the opportunity eventually closes (won or lost), the attribution reports back to the lead-sourcing campaigns and content. The feedback loop closes cleanly.

Why the unified lifecycle matters operationally

Specific benefits versus the fragmented approach.

Running the lead management lifecycle on one record of truth produces specific operational benefits. The seven cards below describe the measurable advantages.

Lead rot visible, not silent

The 40-60 percent MQL leakage becomes recoverable.

The specific pattern of MQLs rotting silently in the CRM becomes visible when the lead-rot detector runs natively against configured state-aging rules. The RevOps lead sees the specific count of leads rotting in each state and can intervene with specific action (reassign, recycle, disqualify). The 40 to 60 percent typical MQL leakage drops meaningfully (often to 15 to 25 percent) because the rot gets caught before the lead dies.

Score trust rebuilt

AEs act on the score when they see the contributing signals.

When scoring surfaces the specific signals that drove the number, AEs stop treating the score as arbitrary and start acting on the specific signals. MQL acceptance rates (the proportion of handed-off MQLs that sales accepts as SQL) typically improve 20 to 40 percent after the scoring transparency comes online, because the AE can see immediately which signals indicate real buying intent versus marketing-engagement noise.

Attribution closes the loop

Marketing sees which campaigns produced closed revenue.

The bidirectional lead-to-opportunity link means closed-deal attribution flows back cleanly to the specific lead-sourcing campaigns and content. Marketing stops reporting attribution with disclaimers about "attribution unknown" on 15 percent of deals. The quarterly budget allocation runs on real attribution data instead of partial-attribution extrapolation.

Recycle motion active

Disqualified leads re-engage through intelligent nurture.

When sales disqualifies a lead with a specific reason, the recycle workflow routes the lead to the appropriate re-engagement track. Timing-wrong leads re-engage after the configured waiting period. Budget-misaligned leads route to a different-tier nurture. Not-a-fit leads go to retargeting if the ICP shifts to match them. The specific recycle motion recovers investment in leads that would otherwise be gone forever.

Dedupe tightens the base

15 percent of records collapse to the real contact.

Unified dedupe across all sources typically identifies 10 to 20 percent of records as duplicates of other records in a typical B2B tenant. Merging the duplicates with history preservation reduces the active-record count, cleans the campaign targeting, and improves the AE experience (no more three AEs working the same lead from three different sources). The specific operational benefit compounds as the tenant grows.

Routing stays current

AE departures do not strand leads.

The routing engine detects AE deactivation automatically and reroutes orphan leads to the current territory owner. Territory configuration changes propagate instantly. The specific pattern of "that AE left two months ago and we just found 42 orphan leads" stops happening because the routing surface tracks ownership currency continuously.

Marketing-sales alignment

One scoring, one lifecycle, one source of truth.

The historical friction between marketing and sales on qualification criteria resolves when both teams read the same lifecycle, the same scoring with the same contributing signals, and the same lead record. The quarterly joint review conversation moves from "whose metrics are right" to "what should we optimize next quarter." The specific alignment benefit is cultural as much as operational.

Head-to-head

Strkr lead mgmt vs the stitched MA-plus-CRM approach.

The common comparison is HubSpot Marketing or Marketo for lead scoring and nurturing plus Salesforce or HubSpot CRM for sales handoff and conversion. The honest comparison looks like this.

Feature Strkr MA + CRM stitched approach
Lifecycle visibility Single surface across all states MA shows MQL side, CRM shows SQL side
Scoring transparency Contributing signals cited on every score Score visible, signals in MA tool
Lead-rot detection Native with configurable state-aging Manual review or BI query
MQL-to-SQL handoff lag Native, sub-second Sync-dependent, minutes to hours
Re-engagement surfacing Real-time to assigned AE Delayed by sync pipeline
Dedupe across sources Unified normalized matching Per-tool dedupe with cross-tool gaps
Recycle workflow Automated routing by disqualification reason Manual process typically
Attribution loop closure Bidirectional lead-to-opportunity native BI reconciliation required
Admin consolidation One tool, one admin surface Separate admin for MA and CRM
Monthly cost at 50-person scale Flat per-seat, included in paid tier 6K to 15K across MA and CRM
How teams use Strkr

How teams run lead mgmt on Strkr.

The playbooks below describe live motions on customer tenants. Each anchors on a specific lead management challenge and the specific outcome Strkr's unified lifecycle produced.

38-person B2B SaaS

Lead-rot detection recovered 420 untouched MQLs.

A 38-person B2B SaaS running Strkr's lead-rot detection discovered 420 MQLs sitting in "working" status with no activity for over 90 days across the previous quarter. The RevOps lead ran the recovery motion: 180 of the 420 recycled to nurture with specific disqualification reasons retained. 140 reassigned to different AEs with full context attached. 100 disqualified with reason. Of the 180 recycled plus 140 reassigned, 32 converted to opportunities over the following two quarters. The specific recovery would have been operationally impossible on their prior stack because the leads were effectively invisible.

Series C fintech, 65 reps

MQL acceptance rate improved from 48 percent to 76 percent.

A Series C fintech at 65 reps had been running marketing qualification in HubSpot Marketing with sales re-qualifying every MQL in Salesforce. The historical MQL acceptance rate (percentage of marketing MQLs that sales accepted as SQL) ran at 48 percent, meaning sales rejected over half of marketing's qualified leads. After migrating to Strkr's unified scoring with transparent contributing signals, the acceptance rate improved to 76 percent over the following quarter. The specific driver was that AEs could see immediately why each MQL scored where it did and could act on the specific signals rather than disputing the overall score.

Mid-market services firm, 22 reps

Dedupe pass merged 1,840 duplicate records.

A 22-rep mid-market services firm ran Strkr's unified dedupe pass on their 24,500-record contact database shortly after migration. The dedupe surfaced 1,840 duplicates (roughly 7.5 percent of records) with varying confidence levels. The RevOps lead reviewed the high-confidence merges (above 95 percent match score) in batches and manually reviewed the borderline cases. The resulting cleaned database improved campaign targeting (reduced over-contact of same person at same company) and resolved specific operational friction (multiple AEs working the same lead from different sources).

Enterprise sales org, 120 reps

Recycle workflow recovered 180 timing-wrong leads over Q3.

A 120-rep enterprise sales organization had been disqualifying leads with specific reasons (timing wrong, budget misaligned, not a fit) but had no systematic recycle motion for them. Strkr's recycle workflow routed timing-wrong leads to a long-cycle nurture with 90-day wait, budget-misaligned leads to a different-tier content track, and not-a-fit leads to retargeting evaluation. Over Q3, 180 recycled leads re-engaged with specific signals (pricing page revisit, content download, re-opened email from the recycled cadence). 24 of those re-engagements converted to active opportunities, specifically attributing to the recycle motion that would otherwise not have run.

Fast-growth B2B SaaS, 28 reps

Routing resilience held through 40 percent team turnover.

A fast-growth B2B SaaS at 28 reps experienced significant AE turnover during a rapid-growth phase (40 percent team change over 6 months). Strkr's routing engine detected AE deactivations automatically and rerouted orphan leads to the current territory configuration without manual intervention. The specific operational benefit was that lead ownership never got stranded on departed AEs, which prevented the specific pattern of leads sitting with inactive owners that typically produces 30 to 80 orphan records per AE departure.

Lead mgmt that runs the full lifecycle on one record of truth.

Start a 14-day trial on Strkr with the lead management surface enabled: lifecycle stage tracking, transparent scoring with signal citation, routing engine, lead-rot detection, native nurture sequences, unified dedupe, lead-to-opportunity bidirectional link, recycle workflow with reason-based routing. One record for the full lifecycle.

Start free trial See pricing
Common questions

What buyers in this bucket ask most.

What is the difference between a lead and an opportunity in Strkr?

A lead is a prospect in the pre-qualified or qualifying state. An opportunity is a prospect that sales has committed resources to pursue toward a close. The transition from lead to opportunity happens at the sales-accepted-qualified moment (SQL conversion) and reflects the business commitment to work the deal. Strkr maintains the lead record even after opportunity conversion with the bidirectional link, so the lead's pre-opportunity history (scoring progression, nurture engagement, specific content touches, first-touch attribution) remains accessible from the opportunity record. When the opportunity closes, the attribution flows back to the lead's sourcing data cleanly. This posture is different from CRMs that convert the lead record into the opportunity record and lose the pre-opportunity history. Preserving both records enables marketing attribution to work correctly and enables post-mortem analysis of specific closed-won patterns to connect back to the specific lead-generation activities that produced them.

How does lead scoring configuration work?

Scoring runs on configured rules that weight specific signals. Four signal categories typically drive the score. Demographic fit: job title match to ICP persona, company size against ICP bracket, industry match, geography match, specific role attributes. Behavioral engagement: web visits (specific pages weighted differently with pricing page highest), content downloads, email engagement (open and click rates with recency weighting), specific-event triggers (pricing-page visit scoring higher than blog-post visit). Intent signals: Bombora topic signals, G2 category research, hiring signals, specific external intent-data signals from vendor subscriptions. Product-usage signals (for PLG motions): signup event, team-growth signal, usage-threshold crossings, SSO enablement, specific feature usage. Each rule weights the specific signal with a configurable point value. Negative scoring applies for disqualifying signals (job title mismatch, specific-competitor domain, suppressed account). The total score computes continuously as new signals arrive. The score surfaces on the lead record with the top 5 contributing signals cited inline so the AE sees exactly which signals drove the number. Scoring rules can be versioned and A/B tested against each other to validate that rule changes actually improve downstream conversion. The configuration surface is designed for the RevOps lead or the demand gen lead to adjust without engineering support.

What exactly does the lead-rot detector flag and when?

The lead-rot detector runs configurable aging rules against specific lifecycle states. Default rules include: New state over the first-contact SLA (typically 5 to 60 minutes for inbound, 24 hours for outbound), Working state with no activity for over 14 days (configurable), MQL state in sales queue without acceptance or rejection for over 72 hours (configurable), SQL state without opportunity creation for over 30 days (configurable), Nurturing state with no re-engagement signal for over 180 days (configurable). Flagged leads route for intervention based on the specific rot pattern: SLA busts route for immediate review by sales leadership, extended working-state leads route to the AE for forced disposition (continue working with specific plan, revert to nurture, disqualify with reason), stuck MQLs escalate to the sales manager for routing resolution, stuck SQLs trigger a sales management review on qualification, extended nurture leads route for recycle evaluation or deletion based on account signals. The specific thresholds configure per lifecycle state and can differ by segment, product line, or specific-source attribution. The RevOps lead sees the current rot picture on a dashboard with specific counts per state and specific intervention counts, which turns silent lead-death into managed lifecycle maintenance.

How does the lead-to-opportunity conversion preserve attribution data?

When a lead converts to opportunity, the full lead history preserves on the lead record with a bidirectional link to the resulting opportunity. The opportunity inherits specific attribution metadata: original lead source (campaign, UTM parameters, specific-content attribution), lifecycle progression timestamps (New-to-Working, Working-to-MQL, MQL-to-SQL, SQL-to-Opportunity), the specific scoring history across the lead lifecycle with the contributing signals at each major transition, the full engagement history (page views, content downloads, email interactions, outbound touches, direct AE communications), nurture-sequence enrollment history, specific-event attribution (webinar attendance, trade-show interaction, specific-content download). When the opportunity progresses through sales stages and eventually closes, the attribution surface traces the full path back from the closed deal through the lead lifecycle to the original sourcing campaign. First-touch, last-touch, linear, and position-based attribution models compute from the preserved timeline. The specific operational benefit is that marketing can report closed-revenue attribution with full data integrity, which transforms the quarterly budget-allocation conversation from estimation to real measurement. The bidirectional link means the lead record is queryable from the opportunity (what was this prospect's journey before sales committed) and the opportunity is queryable from the lead (what happened after sales accepted qualification).

Can lead management rules differ by segment or product line?

Yes. Lead management rules can configure per-segment with specific lifecycle thresholds, scoring rules, routing logic, and nurture-sequence enrollment. A B2B SaaS with both self-serve PLG and sales-led enterprise motions typically configures: PLG lifecycle with faster transitions and specific usage-based scoring, enterprise lifecycle with longer qualification periods and specific decision-committee-based scoring, separate routing rules (PLG routes to the PLG specialist team, enterprise routes to the strategic account team), different lead-rot thresholds (PLG MQL rot after 48 hours because the usage signal needs timely response, enterprise MQL can hold 2 weeks because the sales cycle is longer). Multi-product teams configure product-line-specific rules so a lead expressing interest in Product A follows a different lifecycle than one expressing interest in Product B. The configuration surface supports multiple rule-sets with specific lead-level assignment based on segment, product, source, or specific attributes. The complexity ceiling scales with the complexity of the business; mid-market teams typically run 2 to 4 distinct rule-sets, enterprise teams may run 8 or more. The specific rule-set assignment can be dynamic (a lead that initially entered as PLG upgrades to the enterprise rule-set when the team-size signal crosses a threshold).

How does the recycle workflow work for disqualified leads?

When sales disqualifies a lead, the AE selects a disqualification reason from a configured list (common reasons: not a fit, timing wrong, budget misaligned, incorrect contact, specific-competitor already contracted, product mismatch). The reason retains on the lead record. The recycle workflow routes the lead to a specific re-engagement track based on the disqualification reason. Not-a-fit leads route to retargeting evaluation and ICP recalibration review (if the business pattern shifts, these leads might become fit later). Timing-wrong leads enter a long-cycle nurture with a configured waiting period (typically 90 days to 6 months) before re-engagement, after which specific-content touches resume to detect fresh signals. Budget-misaligned leads route to a different-tier nurture track with content tuned to the specific budget-tier that might fit (specific SMB-track content for leads disqualified from the enterprise motion for budget reasons, or vice versa). Incorrect-contact leads route for data-cleanup (verify or update contact information) before any re-engagement. Specific-competitor-contracted leads route to a long-cycle competitive-displacement nurture that revives when competitor-contract-expiration signals surface (typically through specific-vendor intent monitoring or renewal-season timing). Product-mismatch leads route to the appropriate product-line nurture if the mismatch is specifically another product in the portfolio. The specific recycle logic recovers investment in leads that generic "disqualified" treatment would waste. The RevOps lead reviews recycle performance quarterly to identify which disqualification reasons produce the highest downstream re-engagement success.

Also built for

Related audiences.

CRM Lead Management CRM Leads AI Lead Generator Automated Lead Generation AI Lead Score Value

Try it free. Bring your team next week.

No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.

Start free trial See pricing