Sales intelligence that lives on the record, not behind another SKU.
ZoomInfo, Apollo, and Clearbit built the sales intelligence category by selling the data layer separately from the CRM. The result is a 60 to 180 thousand dollar annual contract that decays 30 percent a year and never sits exactly where a rep works. Strkr ships enrichment, intent, and firmographic coverage inside the CRM record where the rep already is.
Three contract conversations happen every January at B2B companies that run a sales-intelligence stack. ZoomInfo wants a 22 to 40 percent renewal lift because the seat count grew. Apollo wants a tier change because the credit meter crossed a threshold. Clearbit (now HubSpot Breeze Intelligence) wants to roll into a bundle that doubles the per-contact rate. None of the vendors want to answer the only question that matters: what percentage of the contacts your team pulled in the last 90 days are still at that company, that title, that email. The honest number for most B2B stacks is 60 to 75 percent, with a decay rate of roughly 30 percent a year. The team pays a premium for data that was accurate when it was scraped 11 months ago.
The contract decay problem
Your database is 30 percent wrong by month twelve.
B2B contact data decays at roughly 30 percent a year because people change jobs, titles shift, companies get acquired, and emails go dormant. The sales-intelligence vendor that sold you a 90 percent accurate database at signing is selling you a 65 percent accurate database at renewal. The invoice does not change. Strkr tracks a per-contact last-verified timestamp on every enrichment pull so your team sees which records are stale before they call.
Credit meters that punish usage
Apollo credits run out before quarter end.
Apollo prices by enrichment credit. A rep running a prospecting push in a growth quarter burns the monthly credit allocation by the third week. The team either stops enriching or buys a top-up at a worse unit price. Strkr enrichment runs on the flat per-seat plan with no per-contact credit meter below the plan cap, which keeps the enrichment habit in place even in the quarters when it matters most.
The CSV import tax
Every list build is a 20-minute copy-paste operation.
The common sales-intelligence motion is to pull a list in the vendor tool, export CSV, re-import to the CRM, map fields, dedupe. The rep burns 20 minutes per list build and the data starts going stale the moment it leaves the source. Strkr enrichment runs on CRM write, so a new contact lands enriched and the admin never has to maintain a two-way sync between two systems.
GDPR constraints on EU contacts
The vendor coverage story breaks at the border.
ZoomInfo coverage is strongest in the United States and thinner in Europe for structural reasons: GDPR limits what third-party data brokers can hold on EU residents without a lawful basis. Strkr handles EU contacts through a legitimate-interest workflow with per-contact consent capture and automatic suppression on withdrawal, so the sales team can run the EU motion without accidentally buying a GDPR exposure the legal team has to clean up.
Intent data is noisy
Bombora, 6sense, and the third-party-intent signal problem.
Third-party intent data (Bombora, G2 buyer intent, 6sense surge, TechTarget Priority Engine) is probabilistic by design: an account visits five pages about CRM on three publisher sites and gets scored as "intent." The signal is useful but noisy, and most sales teams treat it as a hot flag instead of a weak signal. Strkr blends third-party intent with first-party signal (website visits, email engagement, in-product activity) so the account score reflects both the external pattern and your own data.
Match rate is a vendor-specific number
The published 95 percent match rate is not what you will get.
Every sales-intelligence vendor publishes a match rate against a reference database that was tuned for the published number. The match rate against your actual contact list in your actual segments is usually 15 to 30 points lower. Strkr reports your actual per-source match rate per month on the enrichment dashboard so you see the real number instead of the marketing number, which is the only basis for a defensible renewal conversation with any vendor you keep.
What Strkr sales intelligence does
The data layer, inside the CRM.
Strkr's approach to sales intelligence is to put the enrichment, intent, and firmographic data on the record where the rep already works. The alternative (keep ZoomInfo or Apollo as the system of truth, pipe into the CRM nightly) creates a two-system sync that drifts in both directions. The capability cards below ship on every paid Strkr tier.
Firmographic enrichment on write
A new contact lands with the company fields filled in.
When a new contact or account is created, Strkr enriches with company size, industry, revenue range, headcount growth, funding stage, tech stack, and headquarters location. The rep opens the record briefed. The data is sourced from a blend of licensed firmographic providers and public sources, with a per-field recency timestamp on every field so the rep can see which numbers are three days old and which are 11 months old.
Contact-level enrichment
Title, email, LinkedIn, direct dial where available.
Contact-level enrichment pulls title, verified work email, LinkedIn profile URL, and direct dial where coverage exists. Match rate is tracked per source so you see the actual coverage against your actual segments. The feature is designed for the moment a rep walks into an account briefed with a specific person rather than a shotgun "someone at Acme" cold outbound.
Data decay tracking
Last-verified timestamp on every enrichment field.
Every enriched field carries a last-verified timestamp. The record view shows a traffic-light signal: green for verified in the last 90 days, amber for 90 to 365 days, red for over 12 months. The rep calls the green ones first and sees the stale ones at a glance, which is a workflow pattern none of the standalone enrichment vendors ship cleanly because the business incentive runs the other way.
First-party intent capture
Website visits, email engagement, in-product activity on the record.
Strkr captures first-party intent on every account: who visited the pricing page in the last 30 days, who opened the last three emails, who crossed a product-usage threshold. First-party intent is a stronger signal than any third-party aggregated score because it is specific to your product and your buyer. The composite is visible on the account record without a BI tool bolted on.
Third-party intent blend
External intent signals, scored and weighted.
Strkr integrates third-party intent sources (Bombora, G2 buyer intent, G2 Scoop where available) and blends with first-party signal into a single account intent score. The composite is weighted by signal recency and signal strength, so a product-usage spike last week outranks a Bombora surge three months old. The weighting rules are visible to the RevOps lead and tunable per tenant.
Account-change alerts
Job change, funding, acquisition, headcount move.
When a key contact changes jobs, when an account closes a funding round, when an acquisition announces, when headcount jumps 20 percent in a quarter, the account owner gets an alert. These are the moments B2B sales motions actually open on, and most teams miss them because the data lives in a feed nobody reads. Strkr pushes the alert to the record and to Slack with the context attached.
Technographic layer
Which accounts run which tech stack.
Technographic data (which CRM, which marketing automation, which analytics stack an account runs) is sourced from a licensed provider and surfaced on the account record. The rep sees that Acme is on HubSpot and Marketo before the call, which changes the discovery conversation. Technographic data decays faster than firmographic data because tech stacks change, so the recency timestamp is especially important on this layer.
Suppression lists
Compliance-safe exclusion built in.
Every tenant maintains suppression lists for do-not-contact, GDPR-withdrawn, customer-exclusion, competitor-exclusion. Enrichment and prospecting respect the suppression lists automatically. The legal exposure that catches a mature outbound team is usually a lapsed GDPR withdrawal or a customer account cold-prospected by a new SDR; Strkr prevents both at the data layer.
Match-rate reporting
See the real match rate against your segments.
The enrichment admin dashboard reports match rate per source per segment per month. The RevOps lead sees that the enterprise segment hits 82 percent match on firmographic and 61 percent match on direct dial. The number is the honest basis for a renewal conversation with any licensed provider, and most teams have never had it before because the vendors do not publish per-tenant match-rate reports.
What Strkr does better than a ZoomInfo seat
The structural advantages when the data lives in the CRM.
ZoomInfo is a strong product. Apollo is a strong product. Clearbit (Breeze Intelligence) is a strong product. The structural issue with every one of them is that the data layer is separate from the CRM, which creates a sync problem that compounds every month. The six comparisons below are not about data coverage; they are about where the data lives and how it moves.
No two-way sync tax
The data arrives on the record, not in a vendor UI.
ZoomInfo lives in ZoomInfo. The rep searches in ZoomInfo, exports or pushes to the CRM, and now the two systems need to stay in sync. The sync integrations drift. Fields overwrite. Last-touch wins. Strkr enrichment runs on CRM write, so the data arrives on the record and never leaves. One source of truth, no sync to maintain.
Flat pricing, no credit meter
Enrichment runs on the plan cap, not a per-contact ladder.
ZoomInfo and Apollo tier by credits, which punishes the quarters a sales team actually ramps outbound. Strkr enrichment is included on every paid tier below the plan cap. The team that pushes 40 percent more outbound in Q2 does not get a bill shock in Q3. Pricing is per seat, not per contact enriched.
Decay tracking on every field
The rep sees which fields are stale before calling.
Every enriched field carries a last-verified timestamp with a traffic-light signal on the record view. The rep calls the green contacts first and triages the red ones separately. Standalone enrichment vendors do not surface this cleanly because their incentive is to make the whole database look fresh.
GDPR workflow built in
EU contacts handled with lawful-basis capture.
EU contact handling runs through a legitimate-interest workflow with per-contact consent capture and automatic suppression on withdrawal. The audit log retains the lawful-basis decision per contact for the DPO. Teams running the US-plus-EU motion get a defensible compliance posture without wiring a separate consent-management tool on top of the CRM.
Intent + firmographic + first-party in one view
Account score composite, not three dashboards.
The account record shows the composite account score with first-party intent, third-party intent, firmographic fit, and recent change signals in a single pane. The rep makes the account prioritization decision on the record, not by flipping between a 6sense dashboard, a ZoomInfo screen, and the CRM.
Model routing for enrichment inference
The AI layer fills gaps the data layer missed.
When the firmographic provider does not return a field, Strkr AI runs a retrieval-augmented inference step over public sources with a model router that keeps unit cost down. The result is a wider coverage than any single data provider ships, with the inference step clearly labeled and the confidence surfaced so a RevOps lead can set thresholds for which fields are safe to auto-fill versus flagged for review.
What this changes in the sales motion
The operator-level impact.
The sales-intelligence category sells on data coverage. The operator cares about three things: whether the rep opens the record briefed, whether the account prioritization is right, and whether the compliance posture is defensible. The three jobs below are where the Strkr approach actually changes the sales motion versus running a ZoomInfo or Apollo seat alongside a different CRM.
Prospecting-list build in minutes
The list builder lives inside the CRM.
Strkr's prospect-list builder runs the same filter language as the account and contact views. The rep builds a list of 200 target accounts matching firmographic criteria, enrichment pulls run on write, and the list is a saved view the rep works from. The step that used to take a CSV import out of ZoomInfo now runs inline, and the list stays live as new matching accounts enter the database.
Pre-call briefing in seconds
The rep opens the record and the briefing is already there.
Pre-call prep used to be: open the CRM, flip to ZoomInfo for the firmographic, flip to LinkedIn for the exec profile, flip to the news aggregator for the recent event, write a notes doc. Strkr collapses this into the record view, with Strkr AI drafting a two-paragraph pre-call briefing on request. Prep time drops from 10 minutes to 90 seconds.
Account prioritization that reflects reality
The composite score beats a static ICP filter.
Most teams prioritize accounts by a static ICP filter: company size and industry. The Strkr composite layers in first-party intent, third-party intent, firmographic fit, data recency, and recent change signals. The accounts that bubble to the top of a Monday prospecting queue are the ones with real signal, not the ones that happened to match an ICP filter three months ago.
Change-event follow-up
Job change, funding, acquisition routed to the owner.
When a champion changes jobs, the account owner gets an alert within hours. The flow creates a follow-up task to re-engage at the new company and a parallel task to re-prospect the previous champion's replacement. Change events are the single most under-worked signal in B2B sales, and the Strkr workflow surfaces them on the record where the rep already is.
Suppression-list discipline
The customer account never gets cold-prospected.
Customer accounts, GDPR-withdrawn contacts, competitor accounts, and partner accounts all live on suppression lists that enrichment and prospecting respect automatically. The embarrassing moment where a new SDR cold-prospects an existing customer never happens, which is a brand-protection story the sales leader cares about more than any data-coverage metric.
Match-rate transparency
The RevOps lead gets honest numbers for the renewal conversation.
Every quarter the enrichment admin dashboard reports actual match rate per source per segment. The RevOps lead walks into renewal conversations with a defensible number. The vendor can no longer rely on the published 95 percent figure that was tuned for the marketing deck. Transparency is a procurement outcome, not a feature, but it is one of the strongest arguments for consolidating onto Strkr.
Head-to-head
Strkr vs ZoomInfo for sales intelligence specifically.
ZoomInfo is the market leader for sales intelligence by revenue and the vendor every evaluation compares against. Here is the honest head-to-head when the question is "data in the CRM" rather than "data in a separate SKU."
Feature
Strkr
ZoomInfo Copilot (SalesOS tier)
Where the data lives
On the Strkr record, enriched on write
In ZoomInfo, pushed to CRM via sync integration
Pricing basis
Flat per seat, enrichment included on every paid tier
Per seat plus per-credit metering above tier allocation
Data-decay surface
Last-verified timestamp with traffic-light on every field
Limited per-field recency surfacing
First-party intent capture
Website visits, email, in-product on same record
Via WebSights add-on and third-party enrichment
Third-party intent blend
Bombora + G2 blended into composite score
Native scoop blended into Intent product
Change-event alerts
Job change, funding, acquisition, headcount routed to owner
Signals via Copilot Alerts, higher-tier plan
GDPR workflow
Lawful-basis capture with automatic suppression on withdrawal
Available via DNC and compliance controls
Match-rate reporting
Per-source per-segment per-month on tenant dashboard
Aggregate match rate in product metrics
Prospecting list build
Inside the CRM view language, live saved view
In ZoomInfo, pushed to CRM list
Technographic data
Native layer on account record with recency timestamp
TechStack by ZoomInfo on the SalesOS tier
How teams use Strkr
How revenue teams run Strkr sales intelligence today.
The pattern across customers that consolidate ZoomInfo or Apollo into Strkr: they wanted the data on the record, not in a side tool. The playbooks below are motions live on customer accounts right now.
ABM team, 40 named accounts per rep
Composite score drives the Monday prospecting queue.
A 15-rep ABM team runs 40 named accounts per rep. Every Monday the composite account score (first-party intent, third-party intent, change events, fit) orders the prospecting queue. The reps spend Monday morning on the top 5 accounts per rep that spiked over the weekend, not on a static list that was built in January. Meeting-set rate climbed 23 percent over the first quarter running this motion versus the previous ICP-filter approach.
Series B SaaS, 28-rep team
ZoomInfo canceled at renewal, enrichment inside Strkr.
A 28-rep Series B team was paying ZoomInfo roughly 42,000 dollars a year on top of the CRM. The renewal landed at 54,000. They moved the firmographic and contact enrichment to Strkr at zero added, kept Bombora on a separate contract for third-party intent, and canceled ZoomInfo. Match rate against their actual mid-market segment went up two points because the previous ZoomInfo coverage was weaker in the segment than the headline number implied.
Agency, outbound-heavy motion
Change-event alerts drive the warm-outbound queue.
An outbound-heavy agency runs a champion-tracking motion: when a decision-maker changes jobs, the account owner gets alerted and the flow creates two tasks (re-engage at new company, re-prospect at previous company). The team runs roughly 400 champion-change events a year across the book, and the warm-outbound conversion on these is roughly 6 times the cold-outbound baseline, which is the single highest-leverage prospecting signal in the stack.
US + EU team, lawful-basis workflow
EU contacts handled with legitimate-interest capture.
A B2B SaaS running a US-plus-EU motion routes every new EU contact through a legitimate-interest capture: lawful basis logged, soft opt-in message sent, suppression triggered on reply or no engagement after N days. The DPO audits quarterly via the audit log. The team has run two years of EU outbound without a GDPR complaint, which is a material deliverable versus the common pattern of "we buy ZoomInfo and hope the EU contacts are compliant."
A 200-rep enterprise RevOps team runs quarterly match-rate reporting per data source per segment. The report drives the renewal conversation with every provider on the stack. Last cycle they cut two providers that showed below-70 percent match in their actual mid-market segment despite 92 percent published match rate, and renegotiated the primary provider at a 14 percent discount using the per-segment data as leverage.
Sales intelligence on the record, not in a separate SKU.
Start a 14-day trial with Strkr enrichment, first-party intent, third-party intent blend, and change-event alerts enabled on every account. Pilot the match rate against your actual segments and compare the real coverage to the ZoomInfo or Apollo contract on your desk right now.
For most B2B teams under 200 reps running a US-primary motion, yes. Strkr enrichment covers firmographic, contact, technographic, and change-event signals with coverage comparable to ZoomInfo SalesOS in the mid-market segment and better in the SMB segment. For teams that depend on the deepest enterprise coverage in specific industries where ZoomInfo has invested heavily (financial services, healthcare), ZoomInfo is still deeper for the enterprise motion and worth keeping on a reduced seat count. The honest advice is to pilot Strkr enrichment on a sample of 200 accounts in your actual segments and compare match rate against the current provider before cutting a contract.
How does Strkr handle data decay versus ZoomInfo and Apollo?
Every enriched field on a Strkr record carries a last-verified timestamp with a visible traffic-light signal: green for under 90 days, amber for 90 to 365, red for over 12 months. The rep calls the green ones first and triages the red ones. Behind the surface, Strkr re-verifies the most-called records on a rolling schedule and tracks the per-source refresh rate in the admin dashboard. ZoomInfo and Apollo also re-verify behind the scenes, but neither surfaces the per-field recency to the rep in the way that changes behavior at the moment of the call.
Does Strkr include third-party intent data, or do we need to keep Bombora or 6sense?
Strkr integrates third-party intent sources (Bombora, G2 buyer intent, G2 Scoop where available) and blends them with first-party signal into a composite account score. For teams running a heavy ABM motion on a 6sense or Demandbase platform, the specialist is still deeper for the account-based orchestration layer and worth keeping. For teams that want third-party intent as one input into account prioritization alongside first-party signal, Strkr handles the composite inside the CRM without an additional tool. The decision usually comes down to how much the team uses the ABM platform for orchestration versus signal.
How does GDPR compliance work for EU contacts?
EU contact handling runs through a legitimate-interest workflow with per-contact lawful-basis capture at enrichment time, a soft opt-in touch when the record enters the sequence, automatic suppression on withdrawal or no-engagement, and a full audit log retained for the DPO. The suppression list is enforced by the enrichment and prospecting layers, so a withdrawn contact cannot accidentally re-enter a cadence through a new list build. The posture is defensible under GDPR Article 6(1)(f) when the DPO documents the balancing test; Strkr ships the audit evidence to support that documentation.
What is the match rate on Strkr enrichment in a mid-market B2B segment?
Reported mid-market match rate on a US primary motion runs roughly 82 to 90 percent for firmographic fields, 70 to 80 percent for verified work email, and 55 to 65 percent for direct dial. Numbers vary by segment, geography, and vertical, and the actual match rate against a specific tenant's list is tracked on the admin dashboard month over month. The strongest basis for a buying decision is to pilot a 200-account sample from your actual target segment and compare match rate per field. We help structure the pilot and share the methodology on request.
What does Strkr sales intelligence cost compared to ZoomInfo SalesOS or Apollo?
Strkr sales intelligence runs on the flat per-seat Strkr plan with enrichment included below the plan cap. For a 20-rep team, the all-in annual spend on Strkr including enrichment is usually 30 to 55 percent lower than a comparable ZoomInfo SalesOS seat plus Apollo mix, with the biggest savings coming from eliminating the per-credit metering above the tier allocation that burns teams in growth quarters. The pricing page shows the current per-seat rate; the comparison math depends on your exact seat count and segment, and we build the comparison with the buyer on the pilot call rather than quote a blanket number.
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