Built for B2B teams tired of paying ZoomInfo twice

A B2B sales intelligence platform you do not have to renegotiate every January.

ZoomInfo, Apollo, Clearbit, Lusha, and Cognism built the B2B sales intelligence category by selling the data layer separately from the CRM. The pattern locked buyers into 60 to 180 thousand dollar annual contracts with 22 to 40 percent renewal lifts. Strkr ships the sales intelligence capability inside the CRM record where the rep already is, on the flat per-seat line.

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What this audience is actually dealing with

The pains that bring buyers here.

B2B sales intelligence platforms built the category by solving a real problem: reps needed firmographic data, direct-dial phone numbers, and verified email addresses to run outbound at scale. The vendors that solved it (ZoomInfo, Apollo, Clearbit, Lusha, Cognism, Seamless) priced the solution as a separate SKU from the CRM, which produced a durable second line on the budget and a recurring renewal conversation. Six specific pains show up on buyer evaluation calls for B2B sales intelligence platforms, pulled from recent discovery notes and procurement committee feedback.

The renewal escalator

ZoomInfo wants 22 to 40 percent lift at renewal.

ZoomInfo renewal conversations consistently open with a 22 to 40 percent price increase request, justified by growth in seat count and expanded module usage. The customer finds themselves negotiating the same contract annually with a vendor that treats the renewal as a repricing event. The data quality has not changed; the contract math has. Strkr pricing is flat per seat with no renewal escalator built into the model.

The credit meter trap

Apollo credits run out mid-quarter on the growth team.

Apollo prices enrichment by credit with monthly allocations by tier. A growth team running a Q4 prospecting push burns the credit allocation by the third week and buys a top-up at a worse unit price, or stops enriching. The exact month the data habit matters most is the month the budget breaks. Strkr enrichment runs on the flat tier without a per-record credit meter below the plan cap.

Database decay nobody talks about

Your purchased contacts are 30 percent wrong at month twelve.

B2B contact data decays at roughly 30 percent per year because people change roles, companies get acquired, titles shift, emails go dormant. The vendor sells a 90 percent accurate database at signing; by month twelve the practical accuracy is closer to 65 percent. The invoice does not change. Strkr tracks per-record last-verified timestamps and surfaces stale records in a dedicated hygiene view so your team sees decay before it misleads a call.

The import tax between tools

List build in the intelligence tool, CSV out, CSV in to the CRM.

The classic B2B sales intelligence workflow is: build a list in the intelligence tool, export to CSV, import to the CRM, deal with the deduplication prompts. Reps describe the cycle as a 20-minute workaround per list build. The data never arrives clean in the CRM. Strkr enrichment lands directly on the record with no CSV step; the rep searches, selects, and the data is present where they already work.

Intent signals in a parallel system

Bombora intent lives in a dashboard the rep never opens.

Intent-signal vendors (Bombora, 6sense, G2 Buyer Intent) deliver account-level buying signals through a parallel dashboard. The rep workflow is to open the intent tool, sort by trending accounts, cross-reference with the CRM to see which are in territory, then act. Most reps skip this because the context switch is too high. Strkr pulls intent signals onto the account record so the rep sees them while they are already working the account.

Compliance exposure on contact data

GDPR and state-privacy laws make purchased data complicated.

The compliance landscape on purchased B2B contact data (GDPR in Europe, CCPA and the newer state privacy laws in the US) is more complex than most sales teams realize. Several B2B sales intelligence vendors have faced regulatory scrutiny over data sourcing practices. Strkr's approach is first-party-friendly: enrichment through consent-aware sources plus the ability for teams to upload their own data without a middleman holding the record.

What Strkr's B2B sales intelligence actually ships

The capability inside the CRM, not behind another SKU.

Strkr sales intelligence is a capability on the CRM record, not a separate product. The cards describe what is live today, with the specific data types and sources covered.

Firmographic enrichment on write

A new account auto-fills with company data.

When a new account is created in Strkr (manually, by form submission, via API), the enrichment pipeline fills in firmographic fields: company size, industry, revenue estimate, funding stage, HQ location, employee count, tech stack signals where available. The data lands on the record within seconds. The rep opens the account briefed. Match rate is tracked per source so admins see which data sources earn their keep.

Contact enrichment

Verified email, direct dial, and role data.

For a known contact (first name, last name, company), Strkr enrichment attempts verified business email, direct-dial phone (where available in the sourced data), LinkedIn profile URL, and current role at the company. Verification status is explicit on each field: verified, probable, stale. Reps see the confidence level before they call or send.

Intent signals on the account

Account-level buying activity surfaced inline.

Account-level intent signals (research topics the account's domain has been active on, review-site activity, website visitor data where connected) surface on the account record. Spikes trigger alerts to the account owner. The pattern replaces the separate-intent-dashboard workflow with signals arriving where the rep already works.

Decay tracking

Last-verified timestamp on every enriched field.

Every enriched field carries a last-verified timestamp. Fields past a configurable staleness threshold (default 180 days) flag for refresh. The admin sees a hygiene dashboard showing database decay rate, stale-record count, and refresh-queue status. The team gets the honest picture of data quality instead of the vendor marketing picture.

Technographic signals

Which SaaS and cloud tools the account runs.

For B2B accounts, technographic signals (CRM in use, marketing automation stack, cloud infrastructure, security tools where detectable) attach to the account record. The data informs the competitive-displacement conversation and the "what are they likely to need next" expansion thinking. Coverage is strongest in software-heavy segments and lighter in traditional-industry accounts.

Lookalike discovery

Find more accounts matching your best customers.

The lookalike feature analyzes the firmographic and technographic patterns of a seed set (your best-fit customers, your closed-won deals) and returns a ranked list of candidate accounts matching those patterns. The output lands as a prospect list in Strkr for immediate workflow routing. The feature replaces the "run ICP analysis in the intelligence tool, export CSV, import to CRM" cycle.

How Strkr compares to the specialist platforms

The honest head-to-head on capability depth.

Strkr sales intelligence is not trying to replace ZoomInfo for a 300-rep outbound shop that lives in the data. The target is the team that wants sales intelligence inside the CRM without a separate contract. Six honest comparisons on capability depth.

Database size

ZoomInfo is bigger. Strkr is current.

ZoomInfo markets 100 million-plus contacts across 70 million-plus companies. Strkr's enrichment network covers the top 50 million B2B contacts globally with a higher refresh cadence on the covered set. For a team targeting Fortune 5000 accounts, Strkr's coverage is sufficient. For a team targeting a long tail of smaller accounts, ZoomInfo's database depth may still be worth the contract.

Direct-dial accuracy

Both platforms maintain roughly 60 to 75 percent direct-dial accuracy.

Direct-dial accuracy is roughly 60 to 75 percent across the major sales intelligence platforms, including ZoomInfo and Strkr. The remaining 25 to 40 percent carries risk: wrong number, no longer at company, personal cell flagged as business. Verification labels on the Strkr record tell the rep the confidence level per contact. No vendor should claim 95 percent dial accuracy; most buyer post-mortems find the reality lower than the sales pitch.

Intent data coverage

Bombora and 6sense are deeper on intent specifically.

Bombora and 6sense have invested specifically in intent data for a decade and run proprietary content-consumption networks. Their intent coverage is deeper than Strkr's on absolute signal volume. The question is whether your team is actually acting on that signal depth. Many teams find the top 20 percent of signal volume drives most of the usable action, which Strkr's native intent coverage delivers inside the CRM.

Technographic depth

HG Insights and BuiltWith are the technographic specialists.

HG Insights (for enterprise technographic data) and BuiltWith (for web-stack detection) are the specialists on technographic signals. Their depth is greater than Strkr's native coverage. Strkr's technographic capability is sufficient for most competitive-displacement and expansion thinking at B2B teams south of 500 seats. Teams running sophisticated technographic-driven ICP targeting may want to add a specialist layer.

Workflow integration

Strkr wins because the data lives on the record.

The structural advantage of Strkr is that the sales intelligence capability is on the CRM record, not in a parallel tool. The rep does not context-switch. The data does not go stale in a CSV. The intent signal does not sit in a dashboard nobody opens. This is the primary reason teams choose Strkr over the specialist stack: workflow integration beats capability depth for the median B2B team.

Total cost of ownership

ZoomInfo plus HubSpot vs Strkr all-in math.

A 30-rep team running HubSpot Sales Hub Pro plus ZoomInfo Advanced lands at roughly 180 to 240 thousand dollars annually combined. The same team running Strkr lands at roughly 70 to 110 thousand with sales intelligence included. The cost comparison always includes the people-time cost of running two platforms, which usually comes out to 0.5 to 1 FTE on the admin and integration maintenance.

How teams use Strkr sales intelligence

Daily and weekly motions where the data pays back.

The sales intelligence capability pays back in specific daily and weekly motions. Six motions below with the exact way the data gets used.

Outbound prospecting lists

Build a list in Strkr, enrichment lands with it.

An SDR building an outbound list for a Q2 push uses the Strkr prospect finder: filter by firmographic criteria (industry, size, geography), by intent signal (trending topics), by technographic (uses competitor X). The results land in Strkr as a prospect list already enriched. The SDR starts calling the next morning without a CSV handoff or a cleanup pass.

Inbound lead qualification

Form submission enriches in seconds for routing.

A website demo request submits with just the person's name, email, and company. Within seconds, Strkr enrichment attaches firmographic data (company size, industry, revenue estimate) and ICP-fit score. The lead routes to the right AE based on the enriched data, not the thin form submission. The routing decision quality improves measurably.

Pre-call briefing

Open the account, read the briefing, pick up the phone.

Before a discovery call, the AE opens the account in Strkr. The record shows firmographic context, recent intent signals, technographic stack, Strkr AI drafted talking points, and the news digest (recent funding, leadership change, product launches detected in public sources). The 10 minutes of briefing used to require a tab-switch to ZoomInfo plus a tab-switch to the news aggregator. Now it is one screen.

Account-based play execution

Target-account list with signal-triggered plays.

An ABM team runs a target-account list with signal-triggered plays: when the account hits an intent-signal threshold, the AE is alerted to run the "hot-account warm-outreach" play; when the account posts a leadership-change signal, the champion-rebuild play fires. The signals surface on the account record so the AE sees them in context, not as separate dashboard notifications.

Database refresh cycles

Quarterly hygiene pass without a CSV re-upload.

Every quarter, the RevOps team runs a hygiene pass through the Strkr hygiene dashboard. Records flagged as stale get refreshed in-place. The team sees exactly what percentage of the database decayed in the quarter and which segments decayed fastest. The refresh happens without a CSV export, scrub, and re-import cycle.

Lookalike expansion

Pull 500 lookalikes from the top 20 customers.

The RevOps lead runs a lookalike query from the top 20 customers (by annual contract value, by NPS score, by retention curve). The query returns 500 candidate accounts matching the firmographic and technographic patterns. The output becomes the Q3 ABM target list. The whole workflow runs inside Strkr; the output lands as a target-account tag on the records in-situ.

Head-to-head

Strkr vs ZoomInfo plus HubSpot for the mid-market B2B team.

The common evaluation at mid-market B2B companies is Strkr standalone against ZoomInfo plus HubSpot (or ZoomInfo plus Salesforce). The honest head-to-head on capability depth, workflow fit, and total cost.

Feature Strkr ZoomInfo + HubSpot Sales Hub combined
Pricing model Flat per seat with sales intelligence included on paid tiers HubSpot per seat plus ZoomInfo platform plus seat fees plus credit allocation
Workflow integration Enrichment, intent, technographic data on the CRM record natively ZoomInfo dashboard separate from HubSpot, sync via native integration
Database size Top 50 million B2B contacts with higher refresh cadence ZoomInfo 100 million-plus with varying refresh cadence
Decay tracking Per-record last-verified timestamp visible to reps Decay reported in aggregate, not surfaced per record
Intent signal coverage Native intent on the account record ZoomInfo Intent as separate SKU with separate dashboard
List build workflow Search in Strkr, results land as prospect list enriched List build in ZoomInfo, CSV export, HubSpot import
Lookalike discovery Native lookalike query from seed accounts ZoomInfo Advanced with separate workflow
AI drafting on the data Strkr AI pre-call briefing and email draft on the flat tier HubSpot Breeze credit per use
Admin and integration load Single admin surface, one vendor Two vendors, two admin surfaces, integration maintenance
Renewal escalator Flat pricing without annual repricing event ZoomInfo 22 to 40 percent renewal lift pattern
How teams use Strkr

How B2B teams use Strkr sales intelligence in practice.

The common thread across teams that choose Strkr for the sales intelligence story: they wanted the data on the record without a parallel contract. Four live motions show the specific pattern.

B2B SaaS, 48 reps, left ZoomInfo plus HubSpot

Combined annual spend dropped by 95K after the switch.

A 48-rep B2B SaaS team ran HubSpot Sales Hub Pro plus ZoomInfo Advanced for three years. Combined annual spend was 225K. The ZoomInfo renewal came in at 32 percent lift. The team evaluated Strkr with built-in sales intelligence. The migration took five weeks and the combined annual spend dropped to 130K, a 95K year-one savings. The capability gap on database depth was offset by the workflow win: reps who previously used ZoomInfo-to-HubSpot CSV handoffs now worked a single enriched record. SDR activity ramped by about 18 percent in the quarter after cutover.

Mid-market cybersecurity company, 32 reps

Intent signals on the account record changed Q4 pipeline mix.

A mid-market cybersecurity company ran Strkr with intent signals surfaced on account records. In Q4, the account owner team adopted a "hot account" play triggered by intent-signal threshold. The play: within 48 hours of a trending-intent flag, the AE sent a tailored outreach referencing the specific topic trending on the account. Over Q4, the signal-triggered plays contributed 23 percent of Q4 pipeline, compared to the previous Q4 where no equivalent play existed. The account owners described the signal as "finally knowing when to call" instead of "cold-calling blind".

Growth-stage startup, 12 reps, replaced Apollo plus Pipedrive

Credit meter frustration drove the move.

A growth-stage startup ran Apollo for enrichment and Pipedrive as the CRM. The Apollo credit meter burned through the monthly allocation by week three in two consecutive quarters, which forced top-up purchases at a worse unit rate. The team moved to Strkr with enrichment on the flat tier. The credit anxiety disappeared; reps started enriching more aggressively because the cost was predictable. Over the first quarter, enriched-account coverage grew from 56 percent to 94 percent, which measurably improved the inbound-lead routing quality.

Enterprise services firm, 68 account directors

Technographic signals powered the competitive-displacement play.

An enterprise services firm selling IT managed services ran a competitive-displacement play against three specific competitors. The Strkr technographic signal tagged accounts running the competitor products. The firm's AE team ran targeted outreach to the tagged accounts with specific displacement positioning. Over six months, the firm closed 11 displacement deals against the target competitor set with an average deal size of 180K. The technographic signal was the specific trigger for the targeting; without it, the plays were targeted on tribal knowledge.

Series A startup, 6 reps, replaced the full ZoomInfo contract

Zero to full-funded prospecting workflow in two weeks.

A Series A startup inherited a ZoomInfo contract from the previous VP of sales that cost 48K annually for a 6-rep team. The economics were brutal relative to the team size. The team moved to Strkr with built-in sales intelligence as the primary CRM plus enrichment. Setup took two weeks. The combined per-rep cost dropped by roughly 85 percent while the reps gained an integrated workflow instead of a parallel-tool workflow. The savings funded an SDR hire in the following quarter.

A B2B sales intelligence platform without the second contract.

Start a 14-day Strkr trial with sales intelligence enabled. Import your accounts, see the firmographic enrichment land in minutes, surface intent signals on the records, and run a lookalike query against your top customers. No credit meter, no separate SKU, no renewal escalator.

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Common questions

What buyers in this bucket ask most.

What is a B2B sales intelligence platform?

A B2B sales intelligence platform provides sales teams with firmographic data (company size, industry, revenue), contact data (email, phone, title), buying-intent signals (what topics the account is researching), and technographic data (what tools and vendors the account uses). The classic category leaders (ZoomInfo, Apollo, Clearbit, Lusha, Cognism) sell the capability as a separate product from the CRM, which produces a durable second line on the sales-stack budget. Strkr delivers the same capability inside the CRM, which eliminates the second vendor and the renewal escalator pattern.

How does Strkr compare to ZoomInfo for database depth?

ZoomInfo markets 100 million-plus contacts across 70 million-plus companies. Strkr's enrichment network covers the top 50 million B2B contacts globally with a higher refresh cadence on the covered set. For teams targeting the Fortune 5000 or mid-market B2B accounts, Strkr's coverage is typically sufficient. For teams targeting a long tail of very small accounts (sub-50 employee companies in niche industries), ZoomInfo's database depth may still be worth the separate contract. The honest answer depends on the specific ICP shape your team targets.

Does Strkr include buying-intent signals?

Yes. Strkr pulls account-level intent signals from a composite of sources including web content consumption patterns, review-site activity, and public-signal detection. The signals surface on the account record with topic-level detail and trending-intensity indicators. Specialist platforms (Bombora, 6sense) remain deeper on absolute intent-signal volume because they have invested in proprietary content networks for a decade. Strkr's intent coverage is sufficient for the typical mid-market B2B team acting on the top 20 percent of signals.

How does Strkr handle data compliance (GDPR, CCPA, state privacy laws)?

Strkr's enrichment sources are consent-aware with documented sourcing practices. The platform supports data-subject access requests, opt-out registration, and record redaction. Teams operating in GDPR jurisdictions get the compliance tooling built in rather than bolted on. Teams running outbound in the US navigate the state-privacy-law patchwork with configurable per-jurisdiction consent requirements. The procurement committee at a regulated company usually finds the compliance answer here easier than at vendors who built the sourcing model before the current regulatory environment matured.

What happens to my ZoomInfo or Apollo data when we move to Strkr?

The migration workflow pulls your existing enriched records out of ZoomInfo or Apollo, cross-references with Strkr's enrichment network for currency, and lands the data in Strkr with per-field verification status. Records your incumbent provider marked verified in the last 180 days generally transfer with the verification label; older records flag for re-verification. The pattern lets you leave the incumbent contract at renewal without losing the enriched data history. We publish a migration guide for ZoomInfo and Apollo specifically.

Can I keep ZoomInfo for one use case while using Strkr for the primary CRM?

Yes. Some teams keep a focused ZoomInfo seat (often one or two seats for the RevOps team doing specialist list-build work on long-tail account segments) while running Strkr with built-in sales intelligence for the main pipeline motion. The split pattern lets you drop the full ZoomInfo contract while retaining access for the specific workflows where the depth advantage matters. Most teams who try this split find the ZoomInfo seats get dropped within a year because the Strkr-native capability covers the actual usage pattern.

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