Feature · Sales Process Automation

Sales process automation that runs on the record, not next to it.

A sales process is a sequence of state changes on a lead, an account, and a deal. Automating it well means making the state changes trigger the right next action without a middleware pass. Strkr fires the plays natively: lead router on new inbound, cadence engine on first-touch, approval flow at Proposal, slip detection at mid-stage, renewal watchlist at 120 days out, lost-deal autopsy on close. The record is the audit log. The flow is the methodology. The automation runs on every paid tier with no credit meter.

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The nine automations every sales floor eventually builds

The patterns that compound into real time savings.

Every sales organization that scales past 15 reps ends up building roughly the same list of automations. The list is predictable because the shape of the sales process is predictable: inbound, qualification, discovery, proposal, close, handoff, renewal, expansion, autopsy. The question is whether the automation is native to the CRM (one system, one audit log, zero sync lag) or stitched together across Marketo, Outreach, LeanData, DealHub, and Clari (five vendors, five permission models, five renewal cycles). Strkr ships all nine as native primitives. The sections below walk each one with the detail a sales ops lead would want.

Lead router

Inbound sorted in under a minute.

A fresh web lead arrives. The router runs enrichment, matches against the ICP, scores the lead, and routes based on named-account lists, segment, and territory. The owner gets a task with a 1-hour SLA. The nurture track opens for below-threshold leads. The whole flow runs in under sixty seconds without a human triage pass.

First-touch cadence

The right sequence fires on assignment.

Assignment to an SDR triggers a sequence: Day 0 LinkedIn connect, Day 1 email, Day 2 phone, Day 4 email, Day 7 breakup. The sequence is a native cadence engine with per-step wait times, per-step variant tests, and per-rep send caps. No Outreach import, no SalesLoft handoff. The cadence runs where the lead lives.

Stage automation

Moving a deal fires the right play.

Each stage carries entry policies and automation triggers. Entering Discovery assigns the demo prep task. Entering Proposal generates the proposal, assigns the SE briefing, notifies the manager if above threshold. Entering Verbal opens the contract flow. The stage change is both a state marker and a trigger.

Approval routing

Discounts above threshold route automatically.

A proposal with a discount above policy routes to the approver chain. The approver sees the deal, the quote, the proposal preview, and the rep's justification on one screen. SLA and escalation handle the inbox-stall risk. The audit trail is complete without a parallel Slack thread. Policies are editable without touching code.

Slip detection

A pushed close date raises a flag.

Any deal that moves its close date forward lands on the slip watchlist with the slip count, the cumulative days slipped, and the stage the slip occurred from. The manager's pipeline review opens on the slip queue, not a generic deal list. Slipping deals get coached. The pattern cuts quarterly forecast drift by a measurable amount.

Renewal watchlist

120 days out, the prep task opens.

Every active contract hits the renewal watchlist 120 days before the end date. A prep task opens on the account owner. The assistant drafts a renewal brief. The expansion opportunity opens in the right stage. The renewal conversation starts on time, not when the customer brings it up a week before the deadline.

Expansion play

A usage signal triggers the cross-sell flow.

When an existing customer crosses a usage threshold or adds a new team, the expansion flow fires. The assistant generates a next-step suggestion. The account owner gets a task. The product marketing deck is attached. The cross-sell starts from signal rather than from a quarterly guess at which accounts to call.

Lost-deal autopsy

Marking lost opens the review flow.

Closing a deal lost requires a structured reason from the per-tenant list. The manager gets a task to debrief. The product team gets a notification if the loss reason is competitive. The lost-deal data compounds into the quarterly win-loss review rather than evaporating into a free-text field.

Comp calculation

Every closed deal lands on the comp statement.

A closed-won deal flows into the comp engine with the plan, the split, the SPIFF, and the exceptions. The rep sees the paycheck impact on the deal card the moment it closes. Finance sees the monthly comp accrual roll up without a Spiff or CaptivateIQ sync. Comp disputes drop because the math is visible rather than reconstructed.

The lead router that runs the first minute of every deal

What a credible inbound router looks like in 2026.

The first minute of an inbound lead decides a lot. A lead that gets a first-touch inside 60 seconds converts at roughly 7 times the rate of one that waits an hour. The problem is that human triage cannot clear a 500-lead-per-week queue in 60 seconds per lead. The lead router is where sales process automation delivers the clearest ROI on the floor. Strkr runs the full flow natively: enrichment, scoring, matching, routing, and first-touch assignment, with the audit log attached.

Enrichment first

Company, title, firmographics, inside seconds.

On lead creation, Strkr runs enrichment through the configured provider (Clearbit, ZoomInfo, Apollo, or a native lookup). The lead's company, title, size, revenue, industry, and tech stack land on the record before the router hits the first condition. Downstream decisions have real context, not just email and name.

ICP scoring

A number, with the reasoning.

The assistant scores the lead against the configured ICP profile: size, segment, industry fit, tech stack match. The score is a sorted field with a one-line reasoning note. A manager auditing routing decisions sees why each lead landed where it did. The score is tenant-configurable without touching code.

Named-account match

A subsidiary lands with the parent owner.

The account hierarchy means a lead that comes in from a subsidiary of a named parent account routes to the parent account owner, not a round-robin SDR. The hierarchy is a native primitive, not a middleware join between two tables. Named-account strategies survive contact with real inbound traffic.

Territory routing

Region, segment, product interest, each a dimension.

Territory rules route by region, segment, product interest, and rep load. A rep over quota might deprioritize to a different pod. A rep on vacation routes to the backup. The rules are a visual builder, not a 400-line routing script. Changes apply on the next lead, not after a deploy cycle.

Round-robin with load balance

Not just rotation, actual balance.

Round-robin alone creates unfair load when some reps work faster than others. Strkr balances on open-lead count and recent conversion rate. A rep stuck on three cold leads does not get the next hot one. The balance is a configuration, not a weekly manual override.

First-touch SLA

One hour, then escalate.

The assigned rep gets a 1-hour SLA on first-touch. If the SLA lapses, the lead reassigns to the backup or escalates to the manager. The SLA is per-segment: enterprise leads get a tighter SLA than SMB. The hard clock cuts the average first-touch time from hours to minutes.

Audit log

Every routing decision, traceable.

The router leaves an audit record on every lead: which rules fired, which score was computed, which owner was assigned, which SLA was set. A disputed routing is a two-second lookup. A quarterly review of the routing policy has data, not opinion.

Reporting

First-touch time, by segment and rep.

Dashboards track lead-to-first-activity time by segment, rep, and routing path. Sales ops sees where the queue is backing up and tunes the SLA or the load balance accordingly. The reporting is a live dashboard, not a monthly export to a spreadsheet.

Nurture handoff

Below-threshold leads enter a cadence.

Leads that do not clear the ICP score enter the nurture cadence instead of the SDR queue. Marketing owns the nurture track. When a nurture lead takes an engagement action (opens an email three times, visits a key page), the router re-evaluates and routes to sales. The handoff is bidirectional, visible, and audited.

Approval routing without the Slack-DM policy

The practical shape of a discount-approval flow.

Every sales floor has a discount-approval policy. The written policy is the one in the HR handbook. The practiced policy is the one that runs on Slack DMs. Running approvals through Strkr makes the practiced policy auditable without rigidifying either one. The flow runs on the real matrix, with the override path explicit.

Matrix of thresholds

Discount percent by deal size.

Admins configure a matrix: discount percent on one axis, deal size on the other, approver role in each cell. A 10 percent discount on a 50K deal clears the manager. A 25 percent discount on a 500K deal routes to the VP and the CFO. The matrix edits without a deploy. The policy is a configuration, not a script.

Justification first

A one-paragraph reason before the queue.

A proposal above threshold requires a justification note before it enters the approval queue. The approver sees the note, the deal, the quote, and the proposal preview on one screen. The pattern drops marginal approval requests by roughly 30 percent because reps think through the discount before asking.

SLA with escalation

Four hours, then up the chain.

Each tier carries an SLA. Four hours at the manager level, two business days at the VP, three days at finance. If the SLA lapses, the approval escalates with a notification to the original approver. Deals do not stall on a single inbox. The approver has an incentive to clear quickly.

Delegation

OOO handoffs, auditable.

An approver out of office hands off to their delegate for a configured date range. The audit log records who approved on behalf of whom. The handoff is explicit, reversible, and visible. No "I thought Josh was approving" ambiguity when a deal slips because the approver was offline.

In-line comments

The approver pushes back on the proposal.

An approver can comment on the proposal preview inline. The comment surfaces as a task for the rep. The rep revises, re-submits, and the approval chain picks up where it left off. No side thread in Slack. The decision history is on the deal, visible to anyone with access.

Override with receipts

The CRO signs off, logged.

The CRO can override the matrix for a strategic deal. The override is a action with a justification requirement and a per-deal audit entry. The policy does not change. The exception is logged. Finance running a quarterly deal review filters for all policy exceptions and reads the reasoning behind each.

Why native beats stitched for sales process automation

the comparison with the five-vendor stack.

The classic sales process stack is Marketo for lead capture, Outreach for cadences, LeanData for routing, DealHub for CPQ, Clari for forecast. Each is a credible tool. The problem is the sum: five vendors, five permission models, five renewal cycles, and five sync layers to the CRM. Strkr builds the primitives natively, which collapses the stack. The sections below walk the places the integration tax hits and what native solves.

Sync latency

A record change takes minutes to propagate.

In a stitched stack, a deal update in the CRM has to sync into Outreach, LeanData, DealHub, and Clari before each sees it. The sync is batched and lags by minutes to hours. A rep updating a deal does not see the downstream effects for a cycle. Native eliminates the lag entirely because every tool reads the same record.

Permission drift

Five models, five quarterly reviews.

Each vendor has its own user and role model. Granting a new rep access requires provisioning in all five. A quarterly access review runs five times. A security incident requires correlating across five audit logs. Native collapses it to one.

Audit split

A deal history, scattered.

The deal history is split: cadences in Outreach, routing decisions in LeanData, quote changes in DealHub, forecast moves in Clari, stage changes in the CRM. A manager auditing a deal has to open five tools. Native keeps the history on the record where the deal lives.

License stack

Five vendors, five renewal cycles.

Each tool is a separate contract. Each renewal is a separate negotiation. Each procurement cycle is a separate security review. The CFO budgeting for the stack sees five line items. Native consolidates to one line.

Developer surface

Five SDKs, five expression languages.

Each tool has its own flow builder, its own expression language, and its own deploy pipeline. Admins who know one do not know the others. Teams running the full stack typically have a dedicated ops engineer per tool. The cost of those engineers is a line item.

Vendor risk

Any one vendor outage breaks the floor.

Any tool in the stack going down breaks the floor. Outreach outage, cadence stops. LeanData outage, routing stops. Clari outage, forecast stops. Native concentrates the uptime bet into one vendor, which is both the risk and the leverage. The reliability conversation is one conversation, not five.

A sales process that runs on the deal, with the plays firing where the data lives.

Open a free trial, model your first sales process in the visual flow builder, and watch the plays fire on the live deal record inside the first week. Lead router, cadences, stage automation, approval flows, slip detection, renewal watchlist, and lost-deal autopsy are included on every paid tier. No credit meter, no five-vendor stack. The seat price is the full price.

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Common questions

What buyers ask about this feature.

How is Strkr different from Outreach, LeanData, and Clari combined?

Outreach, LeanData, and Clari are each a credible point tool in their respective lanes (cadences, routing, forecast). The problem for most teams is the integration tax of running all three alongside a separate CRM. Strkr ships the cadence engine, the lead router, and the forecast rollup as native primitives on the CRM, which means the deal history lives on the deal record with no sync lag between tools. For teams already deeply committed to one of those vendors, Strkr integrates via webhooks and APIs. For teams starting fresh or ready to consolidate, the native approach collapses the stack to one license, one audit log, and one permission model.

Can we automate approvals for discounts and non-standard terms?

Yes. Admins configure a tiered matrix with discount percent on one axis and deal size on the other. Each cell maps to an approver role. A proposal above threshold routes automatically with a justification note from the rep, an approval SLA at each tier, and auto-escalation when the SLA lapses. Approvers see the deal, the quote, the proposal preview, and the rep's justification on one screen. Decisions are logged on the deal with timestamps. The CRO can override the matrix for strategic exceptions with a per-deal audit trail. The practiced policy becomes the audited policy.

How does Strkr handle the sales process for enterprise versus SMB?

Strkr supports multiple pipelines per tenant, each with its own stage definitions, entry policies, approval thresholds, and automation flows. An enterprise pipeline typically has more stages, longer SLAs, parallel reviewer branches, and a stricter stage entry policy. An SMB pipeline has fewer stages, tighter SLAs, and auto-approvals for most discounts. The segmentation is a configuration, not a code change. Reps running both motions see both pipelines, each with the right shape for the deal type. The forecast rolls up across pipelines where it makes sense and keeps them separate where it does not.

What is the audit trail for an automated sales process?

Every automated step leaves an immutable audit record: which trigger fired, which conditions evaluated to true, which actions ran, which actor approved, which SLA lapsed, which escalation triggered. The audit is queryable, exportable, and retained per the tenant policy. A disputed decision (routing, approval, cadence enrollment) is a two-second lookup. A quarterly process review has real data on step throughput, SLA adherence, and exception rates. The audit is the native log of the record, not a separate reporting layer.

Can new reps join an existing automated process without a configuration pass?

Yes. The automation runs off the record state and the role of the actor, not off a hard-coded user list. A new rep added to a territory immediately starts receiving routed leads under the existing rules. A new manager added to a team immediately starts receiving the escalated approvals. The permission model is role and team based, so onboarding is a one-click action from the Admin console. Ramp time for new reps on the Monday standup drops from "learn the process" to "approve what the process shows you," which is the whole value proposition of process automation.

Is sales process automation included on every tier, or an add-on?

Core sales process automation ships on every paid Strkr tier: lead router, cadence engine, stage automation, approval flows, slip detection, renewal watchlist, lost-deal autopsy. Multi-tier approval matrices, parallel reviewer branches, and A/B flow variants are included on Pro and above. Advanced routing with named-account hierarchy and territory load balancing is included on Scale and Enterprise. There is no separate automation SKU, no per-execution charge, and no credit meter. The seat price listed on the pricing page is the full price for the capability.

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