Beton + Apollo

Apollo as the outbound execution layer for product signals

Apollo is where outbound sequences happen for most of the GTM teams Beton works with. A product-qualified lead with no Apollo sequence behind it is a missed opportunity; a sequence triggered against the wrong signal is a wasted touch. The job Beton does for Apollo users is making sure the signals that fire are routed into the right sequence at the right time, with the right context for personalization.

The Apollo integration takes Beton's signals — PQL detected, expansion-ready, churn-risk, lookalike-account-identified — and uses them as triggers for Apollo's sequence enrollment, sequence step actions, or contact property updates. Beton handles the deduplication and the throttling so a sequence doesn't fire on stale signals or burn cooldowns by re-enrolling the same contact.

What changes when product data drives outbound

• Sequences enroll only contacts whose product behavior actually predicts buying readiness, not contacts whose form-fill heuristics matched. The contact pool is smaller; the conversion rate is meaningfully higher.
• Sequence copy can reference what the prospect actually did inside the product. "Saw you connected your PostHog instance and ran your first signal backtest yesterday" lands differently than "hope you're well." Beton ships the relevant context to Apollo so personalization tokens have something real to populate.
• Cooldown logic respects product state. A contact in active expansion conversation with the AM doesn't simultaneously get an Apollo cold sequence — Beton's signal stream is the source of truth for what stage the account is in, and Apollo defers to it.
• Sequences split by signal type rather than by industry list. Expansion signals trigger one sequence; churn-risk signals trigger another; net-new product-qualified signals trigger a third. The same contact might pass through different sequences as their product behavior evolves.
• Bounce and unsubscribe data flows back to Beton, so signal routing learns which destinations are still healthy and which need re-verification.

Throttle on mailbox capacity, not on signal volume

One of the failure modes Beton specifically guards against is over-enrollment. A high-firing signal can produce more contacts than your mailbox infrastructure can send to in a day, and dumping them all into Apollo at once burns sender reputation. Beton's Apollo integration paces enrollment against your mailbox capacity (sender limits, daily caps) rather than against signal volume, so the wave is paced rather than pulsed. First-in-first-out by signal timestamp; throttled by what your mailboxes can actually deliver without triggering provider rate limits.

Pairing with first-party data sources

The combinations that work best are PostHog signals × Apollo execution, or Postgres warehouse signals × Apollo execution. The product behavior tells you which contacts to prioritize; Apollo handles the actual sending. Without Beton in the middle, the team has to manually move contacts from PostHog dashboards into Apollo lists every week, which is the kind of manual work that quietly stops happening after the first month. With Beton in the middle, the routing is continuous and the prioritization keeps up with the product.

Connect with an Apollo API key and a list of sequences you want signal-triggered. Beton handles the enrollment, deduplication, cooldown, and capacity throttling. The first wave of signal-triggered enrollments usually starts within an hour of the connection going live.