Queast
IT-services market intelligence and seller workflow
- Access
- Canonical product baseline
- Reviewed
- 10 Aug 2026
Evidence-first comparison
Compare contact data, signals, and outreach tools by the job you need done
Contact databases, intent products, hiring-data tools, and sales-engagement platforms overlap—but they do not solve the same problem. Choose a buying lens, then inspect what each provider documents, what remains unknown, and what still needs hands-on verification.
Choose a buying lens
Start with the outcome, not a category label
A lens foregrounds the relevant comparison rows. It does not score providers or imply that unlike products are interchangeable.
Comparison contract
Explore four provider types against the same dated questions
Queast, Apollo.io, Lusha, and TheirStack form a deliberately small prototype set. Their research records remain on hold, so documentary facts, unknowns, and access limits stay visible.
Apollo.io
Broad B2B contact database and sales engagement
- Access
- Limited search UI; no test export recorded
- Reviewed
- 5 Aug 2026
Lusha
Contact data and buyer intelligence
- Access
- Documentary research only
- Reviewed
- 7 Aug 2026
TheirStack
Job-posting and technographic intelligence
- Access
- Limited search UI; no test export recorded
- Reviewed
- 7 Aug 2026
Comparison dimensions
Expand any row below to compare the same question across all four providers.
01Product centre of gravityIs the product mainly a contact database, a signal source, an intelligence layer, or an execution system?
IT-services market evidence, analysis, recommendations, and seller workflow.
Canonical Queast Platform pagesBroad prospecting database with intent, workflows, sequences, CRM, and sending.
Official product and help documentationContact data and buyer intelligence with CRM enrichment and engagement features.
Official product and help documentationJob-posting, technographic, and hiring-intelligence data delivered through app, API, datasets, and webhooks.
Official guide and pricing page02IT-services specializationIs the data model and workflow designed around selling IT services rather than broad B2B prospecting?
The current Platform baseline is explicitly built for IT-service sales.
Queast PlatformThe reviewed record does not establish an IT-services-specific data model or workflow.
Research gapThe reviewed record targets sales and GTM teams broadly; IT-services specialization is not established.
Research gapConsulting firms are a documented segment, but IT-services specialization is not established.
Official product material03Europe focusAre European markets a product focus, and are country and language boundaries documented?
Europe-led positioning is established; the exact active-market list needs current commercial approval.
Canonical baseline and pricing review gateGeography and language coverage were not established in the reviewed record.
Research gapGeography and language coverage were not established in the reviewed record.
Research gapThe vendor claims coverage across 100+ countries; Europe-specific depth and language support need review.
Vendor claim04Companies, people, and IT stakeholdersCan the team find the right companies and current people—and is IT-stakeholder focus distinct from generic contact volume?
Company and stakeholder context is part of the product; a public contact-universe figure is not approved.
Queast Data and People pagesThe vendor claims 230M+ contacts and 30M+ companies; IT-stakeholder focus is not established.
Vendor-managed LinkedIn descriptionContact reveals and CRM enrichment are core functions; IT-stakeholder focus is not established.
Official pricing and integration docsA contact universe is not public in the reviewed record.
Research record05Technology use and hiring historyDoes the product show technologies in use, first/last-seen history, and hiring demand by technology over time?
Technology context and technology-linked hiring history support account research; technology remains a qualifier.
Queast Technologies and Job Market pagesCurrent-use and technology-hiring-history depth were not assessed in the normalized record.
Research gapIT-spend change and job-posting sources are documented; historical technology depth is not established.
Official Signals documentationTechnology mentions, confidence, and first/last-seen fields are documented alongside source job postings.
Official documentation06Signals and evidence thresholdIs an output a raw event, an intent score, or a recommendation—and must several evidence points agree?
An Actionable Signal requires multiple evidence points, time-aware Composite Intent, eligibility gates, and visible evidence.
Queast Signals contractWeekly third-party account intent and first-party visitor activity are documented; they are not equivalent to Queast Actionable Signals.
Official buying-intent documentationThe vendor documents job change, funding, hiring, intent, web traffic, and IT-spend events; multi-evidence recommendation rules need review.
Official Signals API documentationJob-posting and technographic intent topics link back to source postings; multi-evidence recommendation rules are not established.
Official product documentation07Delivery-capability matchingDoes the system match demand evidence to what the seller can actually deliver before recommending action?
Actionable Signal eligibility requires explicit capability truth; unknown capability is a first-class state.
Queast Signals eligibility contractA comparable capability-truth gate was not established in the reviewed record.
Research gapA comparable capability-truth gate was not established in the reviewed record.
Research gapA comparable capability-truth gate was not established in the reviewed record.
Research gap08Natural-language messagingCan the system produce evidence-grounded messages for different approaches, adapt style, and keep a person in control?
Person-, job-, and company-specific drafts are prepared for human review; the seller chooses and sends.
Queast Messaging and Workbench pagesSequences, copy assistance, and automatic email are documented; comparable evidence-grounding and style adaptation need review.
Official engagement documentationPersonalized email sequences through connected Gmail or Outlook are documented; approach depth and style adaptation need review.
Official glossaryNative message generation was not established in the reviewed record.
Research gap09Contacting automationDoes the product prepare work, notify, write to another system, or send natively through email or LinkedIn?
Queast prepares drafts and orchestration but does not natively send email or perform LinkedIn actions in the approved baseline.
Canonical human-control boundaryAutomatic email sequence steps are documented. LinkedIn steps are manual tasks.
Official sequence documentationConnected-mailbox sequences and one-time email are documented. Native LinkedIn action automation is not established.
Official product glossaryWebhooks are documented; native email or LinkedIn sending is not established as an explicit absence claim.
Official guide and research gap10Service offeringCan the buyer add hands-on help, and is it optional around the product rather than a prerequisite?
GTM Audit and GrowthOS are optional add-ons around the Platform.
Queast Services pagesA comparable service offer was not assessed.
Research gapA comparable service offer was not assessed.
Research gapA comparable service offer was not assessed.
Research gap11Pricing and commercial unitAre prices public, and do seats, credits, contacts, signals, services, and terms support a fair comparison?
Current Queast commercial scope requires approval; curated intelligence cannot be normalized against contact credits or seats.
Pricing publication boundaryPublic annual seat prices include heterogeneous credit allowances and feature entitlements.
Official pricing, reviewed 5 Aug 2026Public free-plan contact credits show different costs for email and phone reveals; full plan scope needs review.
Official pricing, reviewed 7 Aug 2026Public app and API credit entry points are documented, but their units do not match seats, contacts, or curated recommendations.
Official pricing, reviewed 7 Aug 202612Contact freshness and benchmark accessCan we run the same searches, export results, and verify whether sampled people still hold their listed positions?
The benchmark method is defined; sample results and an approved public freshness claim are not yet recorded.
Benchmark protocolLimited search-UI access is recorded. No comparable test export or verified-position sample is recorded.
Collection sidecarDocumentary access only. The earlier internal outdated-contact observation is not published without its sample record.
Access limitationLimited search-UI access is recorded. A contact-freshness export is not applicable until people data access is established.
Collection sidecarFreshness benchmark
Use the same searches—then verify the people
Most providers do not expose a usable test export. The benchmark therefore records access first and publishes a freshness result only when the same query, export, sample, and current-position verification can be completed.
IT-service company coverage
Run the same company search for Europe, Germany, and Finland. Record result counts, filters, plan, and search date.
Sales contacts at IT-service companies
For Europe, Germany, and Finland, record people counts and phone-number counts where available.
IT-related people
Search Finnair, DHL, and Bosch. Sample listed people, then verify whether they still hold the stated position.
IT buying evidence
For Finnair, DHL, and Bosch, record the number and type of observations. Do not treat one job ad or event as an Actionable Signal.
Controlled states
Keep missing evidence and absence claims distinct
These labels are not a score. Each carries a different research meaning and must be supported at the cell level.
Unknown
The point has not been established from current reviewed evidence. It is a research gap, not an absence claim.
Not public
Reviewed public materials do not disclose the point. It may require a vendor or procurement conversation.
No
Reviewed evidence explicitly says the capability is not offered or is outside the documented workflow. The source must support the absence.
Not comparable
Available units, scope, terms, or definitions do not support a fair like-for-like comparison.
Signal authority
Compare evidence and recommendation authority separately
A single observation, technology mention, visitor, content interaction, or enrichment field does not become an Actionable Signal.
- 01Observation
Source evidence
Provenance, date, entity, and limitations remain attached.
- 02Interpretation
Analysis and proposals
Interpretation stays separate from source fact and can only propose context.
- 03Time-aware hypothesis
Composite Intent
Evidence can contribute to a time-aware company-level hypothesis; no single observation activates it.
- 04Conjunctive gate
Eligibility
Only active context that passes applicable capability-truth, freshness, conflict, deduplication, and evidence-reference gates can continue.
- 05Recommendation
Actionable Signal
An eligible Signal is an evidence-backed recommendation for human review.
- 06Decision
Human action
A person chooses, performs, and records the next action.
Next step
Frame one fair evaluation
Bring one decision, the evidence your team needs to inspect, the systems it must fit, and the level of human control you require.