CRM, automation, and forecasting
A CRM with real automation and AI-assisted forecasting. Not add-ons. Not an upgrade tier.
Most CRMs charge extra for the two features sales teams actually use. Salesforce puts Flow Builder on standard editions and prices Einstein Forecasting as a separate add-on on top of the Sales Cloud seat. HubSpot meters workflow actions per plan and puts predictive forecasting on Sales Hub Enterprise. Strkr ships the no-code visual flow builder and AI-assisted forecasting on every paid tier at one seat price, with no per-run limits and no feature gates.
A visual flow builder for the work reps keep repeating.
Strkr's no-code flow builder is designed for the real motions ops leads build: multi-step logic across records, scheduled runs, inbound webhooks, and visibility into what happened and why. Pick a trigger, drag the branches, drop the actions. Ship it.
Records, schedules, webhooks, or a button.
Any object fires on create, update, delete, or a specific field change. Natural-language cron schedules handle Monday-morning sweeps. Every flow has an inbound webhook URL for forms, payment events, or anything external. And any flow can be exposed as a button on a record page when a user wants explicit control over when it runs.
Learn moreAND, OR, NOT. The logic you actually need.
A branch node takes a condition expression and splits the flow into matched and unmatched paths. Conditions walk the triggering record, related records up to three levels deep, the current user, or constants. One flow handles the whole post-sale cascade without a dozen near-duplicate flows.
Create, update, notify, call out, loop.
Record operations across every object. Transactional email through the Strkr email layer. Slack, Teams, and in-app notifications. Outbound webhooks with configurable auth. Wait steps for drip sequences. Sub-flow triggers. Loops over record collections. All available at every branch leaf.
Unlimited active flows on every paid tier.
Strkr does not count flow runs, actions, or active flows. A flow that fires on every record update costs the same as a flow that fires once a week. The ceiling is practical system performance, not a billing meter, so teams can design the automation their business needs instead of designing around a cap.
Learn moreBuild the flow, close the gap.
The visual flow builder ships on the Starter tier. Automation does not sit behind an upgrade.
A number your managers can audit, not a magic 8-ball.
AI-assisted forecasting at its best is a weighted statistical signal on top of your pipeline, not a single black-box number. Strkr's engine shows the stage-weighted number and the AI-adjusted number side by side, calls out which deals the model and the stage disagree on, and leaves the final judgment to the manager.
Commit, best case, worst case, by rep.
Forecasts roll up by rep, by team, and by pipeline. Managers see commits for every direct report, the stretch that would hit the target, and the slip that would miss it. The roll-up updates in real time as deals move, with a weekly submit cadence that locks the number for a formal commit review.
Learn moreThe deals slipping before Friday.
For each open deal, the model compares the shape (time at stage, champion contact recency, stakeholder count, bounce history) against your tenant's closed-deal history. Deals that look like historical losers get flagged. Deals that look like historical winners get surfaced. The top three factors behind each signal are shown so a manager can audit the mechanism, not guess at it.
A rhythm, not just a dashboard.
Reps submit a commit on a weekly cadence; managers lock the number for review. The commit versus pipeline versus AI gap is captured as a historical record, so coaching has data instead of memory. Teams that run a weekly forecast review catch the slipping deals before quarter-end instead of in the post-mortem.
Under 5% error on tenants with history.
On tenants with at least a quarter of pipeline history, Strkr targets under 5% error at the rep-level roll-up. New tenants see the stage-weighted baseline and a flag that the AI is still warming up until the model has enough closed deals to train on. Honest state beats a confident number that nobody can verify.
Learn moreHow CRMs handle automation and forecasting.
A snapshot of how each platform ships flow building and forecasting on a mid-tier plan. Vendor pricing structures change; always confirm on the vendor's current pricing page before you commit.
| Capability | Strkr | Salesforce | HubSpot | Pipedrive |
|---|---|---|---|---|
| No-code visual flow builder | Included on every paid tier | Flow Builder included; Einstein Automate for advanced AI steps is extra | Workflows on Pro and up; action limits per plan | Workflow Automations on Advanced and up |
| Per-run or per-action metering | None | Governor limits per org per 24h | Workflow actions metered; higher caps on Operations Hub | None on paid tiers |
| AI-assisted forecasting | Included on every paid tier | Einstein Forecasting is a separately priced add-on | Predictive forecasting lives in Sales Hub Enterprise | Available on Professional and up |
| AI risk signals on open deals | Included; shows the top factors behind the signal | Included with Einstein add-on | Deal insights on Enterprise | Sales Assistant on paid tiers |
| Forecast update cadence | Real-time; weekly submit lock for commits | Scheduled refresh; configurable | Scheduled refresh; configurable | Scheduled refresh |
| Both features on the same seat price | Yes | No; two add-ons | Partial; features split across hubs | Yes on Advanced |
Verified October 2026. See Salesforce Einstein pricing and the Gartner sales forecasting overview for category context.
The difference buyers feel in year two.
Automation and forecasting are the two features sales teams lean on hardest after the first quarter. On most CRMs, they are also the two most likely to sit behind an upgrade or an add-on. Strkr's pricing model treats them as the baseline, not the upsell.
- No per-run limits. Flow runs, actions, and active flow counts are not metered on paid tiers. Teams stop designing their automation around a billing cap.
- No separate forecasting license. The AI-assisted forecasting engine is part of the CRM, not a bolt-on priced on top of the seat.
- Same builder on Starter through Scale. The visual flow editor you learn on day one is the same editor you ship complex multi-branch cascades on in year two.
- Transparent mechanism, no black-box number. Forecasting shows the stage-weighted number, the AI-adjusted number, and the top factors behind any disagreement so a manager can audit every input.
For teams tired of unbundling and re-pricing, this is the whole pitch: one seat price, two capabilities that would otherwise be billed separately, no plan upgrade required to use the thing you were told the CRM already does.
Frequently asked questions.
Does Strkr's automation really have no per-run limit?
Correct. Strkr does not meter flow runs, actions, or active flows on paid tiers. A flow that fires on every record update costs the same as a flow that fires once a week. The ceiling is practical system performance, not a billing surface. Teams coming off vendors that count workflow actions typically rebuild the same automation in Strkr with fewer workarounds because they stop designing around a cap.
How accurate is Strkr's AI forecasting?
Strkr targets under 5% error at the rep-level roll-up on tenants with at least a quarter of pipeline history (a few hundred closed deals). Below that volume, the model falls back to a cross-tenant baseline and the UI flags that the engine is still warming up. The forecast dashboard shows the stage-weighted number and the AI-adjusted number side by side, with the top three factors driving any disagreement, so managers can audit the signal rather than trusting a single black-box number.
What triggers can Strkr automation listen to?
Four categories. Record events on any object (standard or custom) fire on create, update, delete, or a specific field change. Scheduled runs use natural-language cron (every weekday at 9am, first Monday of the month, every 15 minutes). Inbound webhooks give every flow a unique URL that external systems can post to. Manual fires expose a flow as a button on a record page for when a user wants explicit control. Branches combine AND, OR, and NOT across the triggering record, related records up to three levels deep, the current user, and constants.
Do I need to write code to build automation or configure forecasting?
No. The flow builder is visual: pick a trigger, drag branches, drop actions. Forecasting is configured by assigning a stage probability per pipeline and letting the model learn from closed-deal history; no model tuning or data-science work is required. Teams that want to extend further can call outbound webhooks or external HTTP endpoints from any flow, which is how most custom logic gets handled without a developer in the loop.
How does Strkr compare to Salesforce Einstein or HubSpot workflow automation?
Salesforce ships Flow Builder on standard editions, but AI-powered forecasting is an Einstein add-on priced separately on top of the Sales Cloud seat. HubSpot ships workflows on paid tiers with per-action metering and places predictive forecasting on Sales Hub Enterprise. Strkr ships the visual flow builder and AI-assisted forecasting on every paid tier at the same seat price with no per-run metering. The difference matters most in year two, when teams discover they've designed their automation around a cap and need to upgrade a tier to break it.
What happens to my flows and forecasts when a plan tier changes?
Flows and forecasts port cleanly across Strkr tiers because the feature is not gated. The same visual builder, the same action library, the same forecasting engine ships on Starter, Pro, and Scale. Upgrading unlocks related capability (custom objects on more plans, field-level permissions, higher API quotas), but it does not change how automation or forecasting works. There is no equivalent of a mid-year Einstein unlock.
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