RB2B vs Vector for GTM: when to use which?

De-anon is a sensor.

RB2B and Vector both help turn anonymous website traffic into accounts or people you can act on. Neither one is your GTM system. If you install either and celebrate "identified visitors" without booking meetings, you bought a vanity metric with better labels.

RB2B vs Vector is a sensor choice. The motion is still fit, intent, recency, then a note that could not go to anyone else.

What problem do both tools solve?

Most B2B sites convert a thin slice of visitors. The rest leave. De-anon tools estimate who showed up so you can decide whether a send is warranted.

Read the full frame in website de-anonymization for B2B GTM. This post is the pick: when RB2B, when Vector, when both, when neither.

Ehrenberg-Bass / LinkedIn B2B Institute: ~5% in-market. De-anon does not create that 5%. It helps you notice when some of them hit your pages.

How should I choose between RB2B and Vector?

Judge four things. Not Twitter screenshots.

1. Identity quality for your ICP. Person-level vs account-level. Match rate on your real traffic, not a vendor demo.
2. Latency. Can you act same day while the signal is fresh?
3. Routing. Does the hit land in Clay, CRM, or Slack with fit filters already applied?
4. Cost vs meetings. CAC cares about meetings and closed revenue, not identified row count.

If your traffic is thin, fix acquisition and message first. A sensor on an empty street is still empty.

When is RB2B the better fit?

When you want fast person-level alerts on US-heavy web traffic and a simple path into outbound enrichment.

Use it when your motion is: hit → ICP check → enrich → signal-matched first line. Keep volume low. Human review on day one.

When is Vector the better fit?

When you need stronger account resolution, waterfall enrichment options, or tighter workflow into the rest of your stack.

Use it when multiple stakeholders hit pricing and docs, and you care about account paths more than a single name. Pair with Factors.ai-style path logic if you already think in accounts.

Can I run both?

Yes, if you dedupe and score. No, if you double-message the same human because two tools fired.

One kill-switch rule: one send per person per signal window unless a harder intent appears. Gong's ~3.4% cold email reply floor is what you get when two sensors equal two sprays.

What does "good" look like after install?

Not identified visitor charts.

Good is: % of de-anon hits that pass fit, % that earn a send, meetings per 100 qualified hits, and opportunity rate. Meetings, not theater. Salesforce still clocks ~27% of reps hitting quota. More names will not save a weak offer.

Would you rather 1,000 identified rows, or 40 sends that reference the exact page they hit this week?

Adapt or fail. Pick the sensor. Build the rails. Measure meetings.

Start Signals, Convert, Grow

FAQ

Is RB2B or Vector "more accurate"?

Accuracy is ICP-specific. Run both on a sample week if you can. Keep the one that produces meetings after fit filters.

Do I need de-anon if I have G2 and product signals?

Not always. Start with the signal that already converts. Add de-anon when web traffic is real and anonymous.

Should SDRs live in the tool UI?

No. Alerts into a queue with fit rules. Draft in the queue. Send from the system of record.

What is the first line after a de-anon hit?

Name the page or path. Tie to desire. Ask for a small next step. See first-touch notes.

Privacy concerns?

Follow your counsel and regional rules. GTM does not get a free pass because the tool is popular.