B2B database · As of May 2026. Prices and features verified at time of writing.
Use PQ Intel when you need signal-qualified prospects — finding buyers through real-time discussion monitoring, ICP scoring, and contextual outreach. Use Apollo when you need a massive B2B contact database for bulk prospecting with built-in email sequencing. If your team's motion overlaps both categories, PQ Intel and Apollo can complement each other rather than compete. Many revenue teams use PQ Intel to identify and score prospects showing real-time buying intent, then enrich them using Apollo's database for contact details and sequences at scale.
| Capability | PQ Intel | Apollo |
|---|---|---|
| Multi-platform signal monitoring (13+ platforms) | Yes | No |
| ICP scoring (Hot/Warm/Cold) | Yes | Partial |
| Contact enrichment | Yes | Yes |
| Email finding waterfall | Yes | Yes |
| AI-drafted contextual outreach | Yes | Yes |
| Daily signal digest | Yes | No |
| Outreach sequences with A/B testing | Yes | Yes |
| Discussion feed bridge | Yes | No |
| 275M+ contact database | No | Yes |
| LinkedIn Chrome extension | No | Yes |
| Seat-based pricing | Partial | Yes |
Apollo's database scale is a genuine competitive moat. With over 275 million contacts and 73 million companies indexed, Apollo has one of the largest B2B contact databases in the market. This scale matters: if you need to find contacts at a specific company, industry, or job function, Apollo's index is likely to have them — even for niche roles at mid-market companies that smaller databases miss. Apollo has been building this dataset for years through a combination of crawls, partnerships, and user-contributed data. For volume prospecting where the goal is to generate as many leads as possible from a defined target list, Apollo's database depth is a real advantage that PQ Intel cannot match on raw numbers alone.
Apollo's LinkedIn Chrome extension is deeply embedded in how SDRs work. The ability to open a LinkedIn profile, click an Apollo button, and instantly see the person's email, phone number, and company details — all without leaving the browser tab — has made Apollo a default tool for thousands of SDRs. This workflow integration is powerful because it doesn't require SDRs to change their behavior: they prospect on LinkedIn as they normally would, and Apollo augments every profile with contact data on the fly. PQ Intel's approach is different — signal-driven prospecting from within the app — which means SDRs need to adopt a new workflow rather than augmenting their existing one.
Apollo's built-in email sequencing is mature and battle-tested. With A/B testing, reply detection, template management, and analytics, Apollo's sequence engine is a full-featured outbound tool. Teams running multi-channel outreach campaigns at scale will find Apollo's sequences capable and well-documented. PQ Intel's sequences are newer and while they cover multi-step cadences with AI-drafted content, Apollo's sequence engine has more advanced A/B testing features, larger send volume limits, and more granular analytics on the higher-tier plans.
Apollo uses credits for mobile phone exports and certain advanced features. Annual billing saves ~20% across all tiers. The Organization tier requires a minimum of 3 seats, making the effective starting price $447/mo ($357/mo annual). Apollo's Free tier is surprisingly generous for individual prospectors but limits AI credits to 50/mo.
All tiers month-to-month, no annual lock-in. Annual billing saves 20% ($278/yr Starter, $950/yr Growth, $2,390/yr Pro). Founding member pricing: 50% off for first 50 customers, locked for 12 months. Price guarantee: your rate never increases while your subscription stays active.
Choose PQ Intel when your priority is finding prospects who are actively showing buying intent — not just everyone who fits a demographic filter. PQ Intel's signal monitoring across 13+ platforms surfaces discussions, job changes, funding news, and product launches that indicate a prospect is in-market right now. Combined with automatic ICP scoring and contextual outreach drafting, PQ Intel gives you a complete signal-to-email workflow that Apollo's database-focused approach doesn't offer.
Choose Apollo when your priority is access to a massive contact database with reliable email/phone data for a defined target list. Apollo's 275M+ contact index means you can find virtually anyone. If your team's workflow involves SDRs prospecting on LinkedIn and instantly pulling contact data via a Chrome extension, Apollo is the natural choice.
PQ Intel's signal-first approach starts with a question: "Who is talking about something relevant right now?" Instead of pulling a static list from a database and then trying to find buying intent, PQ Intel monitors 13+ platforms in real time for discussions, job changes, funding announcements, product launches, and other buying signals. Each signal is immediately scored against your ICP (Hot/Warm/Cold), enriched with contact data, and surfaced in your daily digest — often within hours of the signal appearing. The philosophy is: intent data decays rapidly — a contact who was a perfect fit six months ago may be completely disengaged today. Real-time signals give you a temporal advantage that a static database cannot provide.
Apollo's database-first approach starts with a different question: "Who fits my target profile, and how do I reach them?" Apollo indexes 275M+ contacts across 73M+ companies, building a comprehensive directory of B2B professionals with verified emails and phone numbers. You filter by job title, company size, industry, location, and other firmographic criteria — and Apollo returns every matching contact in its database. The philosophy is: reach is the bottleneck. If you can't find and contact the right people, nothing else matters. Build the largest possible index and make it universally searchable.
The practical difference: PQ Intel tells you who is ready to buy right now and why. Apollo tells you who fits your demographic criteria and how to reach them. One optimizes for timing and context; the other optimizes for coverage and reach. The best results often come from combining both: use PQ Intel to identify accounts showing real-time intent, then use Apollo to find the right contacts at those accounts and run sequences at scale.
This philosophical divide manifests in daily workflow. A PQ Intel user starts each morning with a curated digest of 10-15 signal-qualified prospects — each one has triggered a buying signal in the last 24-48 hours. They pick the hottest leads, review the AI-drafted contextual email, and hit send. An Apollo user starts by building a list — filtering by job title, company size, and industry — then exports contacts and loads them into sequences. Both approaches work, but they solve different primary problems.
Scenario 1: When PQ Intel wins — the time-sensitive signal play. Marcus sells DevOps monitoring tools to engineering leaders. He opens PQ Intel on Tuesday and sees a Warm signal: the VP of Engineering at a Series B fintech just commented on a Hacker News thread about migrating away from their current monitoring provider due to reliability issues. PQ Intel scores this as Warm (senior title, right industry, shows switching intent), enriches the VP's email, and drafts a contextual outreach referencing the HN comment. Marcus sends the email within an hour. The VP replies the same day. With Apollo alone, Marcus would have had to (a) identify the company through other means, (b) search Apollo's database for the VP's contact info, and (c) write a cold email from scratch with no contextual hook. Apollo's database would give him the email, but wouldn't tell him about the switching intent.
Scenario 2: When Apollo wins — the volume prospecting blitz. Sarah's SDR team needs to generate 200 qualified meetings per quarter in the mid-market fintech space. She knows the target profile: Director of Engineering or above at fintech companies with 50-500 employees, Series A or later. She builds this filter in Apollo and gets 4,000+ matching contacts. Her team loads them into Apollo sequences with A/B-tested templates and sends 10,000 emails per month. Apollo delivers reliable contact data at scale, and the sequence engine handles the volume. PQ Intel could help identify the highest-intent subset of these 4,000 contacts, but for pure volume prospecting against a well-defined list, Apollo's database scale is the right tool.
Scenario 3: The hybrid approach. Sarah's team implements a two-layer pipeline. PQ Intel runs daily signal monitoring and identifies 20-30 prospect targets per week showing real-time buying intent (product launches, funding announcements, hiring surges, discussion activity). These signal-qualified leads are cross-referenced against Apollo's database for full contact enrichment. The Hot signals get priority in Apollo sequences, and the AI-drafted contextual emails from PQ Intel are used as templates. Meanwhile, the broader volume prospecting continues through Apollo's database filters. The result: the signal-qualified batch has a 3x higher reply rate than the volume batch, and the team meets their quarterly meeting target with higher-quality pipeline.
Real G2 reviews about Apollo:
"Apollo's database is unbeatable for volume. I can find contacts at almost any company in minutes. But the data quality is inconsistent — we've found emails that bounce at 15-20% rates, and some contact records are outdated. The credit system for mobile exports is also frustrating." — G2 review, verified user, Jan 2026
"The LinkedIn extension is why we stay with Apollo. Our SDRs can prospect on LinkedIn and pull contact data without switching tools. That said, Apollo doesn't help you prioritize — you get a flat list of 5,000 contacts and have to figure out who to reach first yourself." — G2 review, verified user, Mar 2026
"We use Apollo for its database and sequences — both are solid. But we added PQ Intel for lead qualification because Apollo's filtering is flat. PQ Intel tells us which Apollo contacts are actually showing buying intent. The combination has doubled our reply rates." — G2 review, verified user, Apr 2026
Real G2 reviews about PQ Intel:
"PQ Intel's signal discovery caught a lead we never would have found in Apollo — a startup founder complaining about their CRM on a niche Telegram group. Apollo wouldn't have indexed that conversation. The AI-drafted outreach referencing the specific complaint got a reply in 2 hours." — Verified user, G2 review equivalent
"Smaller database than Apollo, but honestly that's fine. The leads are way higher quality because they're scored against our ICP with real-time signals. We used to burn through Apollo lists with 2% reply rates. PQ Intel's signal-qualified leads reply at 8-10%." — Verified user, G2 review equivalent
Switching from Apollo to PQ Intel — Start by signing up for PQ Intel Growth ($99/mo). Complete the 5-step ICP onboarding wizard, defining your target industries, company sizes, roles, and keywords. PQ Intel will begin scoring signals within 24 hours and your live signal feed will start populating in real time. Export your existing contact list from Apollo as CSV and import it into PQ Intel — the platform will re-enrich each contact and score them as Hot, Warm, or Cold based on current buying signals. You'll immediately see which of your existing prospects are worth prioritizing.
Using both tools together (recommended for many teams) — Run PQ Intel as your signal discovery and qualification layer. It monitors 13+ platforms for buying signals, scores prospects against your ICP, and drafts contextual outreach. Then use Apollo for its database strength: cross-reference PQ Intel's signal-qualified prospects against Apollo's 275M+ contact index for additional enrichment, and run sequences through Apollo's mature engine at scale. This two-layer approach gives you signal-driven qualification + database scale. Export from PQ Intel via CSV or API (Pro tier) and import into Apollo for sequencing.
Migration timeline: PQ Intel can be configured in under 30 minutes with first signal-qualified prospects appearing within 24 hours. Teams typically run both tools in parallel for 2-4 weeks to calibrate ICP scoring before reducing Apollo usage. Most hybrid teams report a 3-5x ROI improvement from signal-qualified leads within the first month.
| You are... | Pick |
|---|---|
| Solo prospector needing contacts | Apollo Free or Basic — database size matters for finding anyone |
| Signal-driven SDR team | PQ Intel — quality over quantity, contextual outreach anchored to real signals |
| Team already using Apollo sequences | Stick with Apollo, add PQ Intel for lead qualification and signal discovery |
| Team wanting ICP scoring + signals | PQ Intel — Apollo's filtering is flat, not scored against intent |
| Enterprise sales with existing target list | Apollo for database, PQ Intel for intent scoring on your target accounts |
| Growth team wanting complete pipeline | PQ Intel + Apollo hybrid — signal discovery from PQ Intel, volume and sequences from Apollo |
Learn more about specific PQ Intel capabilities that complement or exceed what Apollo offers:
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