Apollo.io connector

Use your Apollo.io data for reporting, automation and AI.

Data Panda brings your Apollo.io contact, sequence and deal data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.

Apollo.io
 Data Panda Reporting Automation AI Apps
Apollo.io
About Apollo.io

B2B data and engagement in the same login.

Apollo.io was founded in 2015 in San Francisco by Tim Zheng and Ray Li, originally as ZenProspect, and rebranded to Apollo.io as the product grew beyond a CRM-side prospecting plugin. Investors include Bain Capital Ventures, Sequoia Capital, Y Combinator, Tribe Capital, Nexus Venture Partners and NewView Capital, with later rounds taking the company to over forty thousand paying customers and a reported one million sales professionals on the platform.

What sets Apollo apart from its sales-stack neighbours is the bundle. ZoomInfo and Cognism sell the contact database. Outreach and Salesloft sell the sequences and dialler. Apollo sells both behind one login at SMB and mid-market price points, plus a CRM-light deal board, an AI assistant and a Chrome extension that scrapes LinkedIn into the same workspace. SDRs prospect from the database, push people into a sequence, dial them, and log the meeting against a deal record without leaving the tool.

The reason to pull Apollo into a warehouse is that one tool is also one silo. The contact freshness on enriched records, the reply yield per ICP segment, the dialler-to-meeting ratio per persona and the share of inbound meetings that came from an intent signal all live inside Apollo, disconnected from the CRM, billing and product usage that say whether the deal closed and the customer stayed. Next to those, Apollo data turns into a real revenue picture instead of a self-contained engagement report.

What your Apollo.io data is for

What you get once Apollo.io is connected.

Bundle effort to revenue

Database freshness, sequence yield and dialler activity sitting next to CRM outcome and invoiced revenue.

  • Reply rate per sequence step, per ICP segment and per rep
  • Dialler-to-meeting ratio per persona and time-of-day
  • Contact decay on enriched records versus job-change frequency

Two-way flow with the CRM and stack

Keep Apollo, the CRM, the calendar and billing in step without rekeyed data.

  • Closed-won in the CRM retires people from active Apollo sequences
  • ICP-matched intent signal pushes the right contact into the right sequence
  • Bounced or job-changed contacts route to a refresh queue automatically

AI on the bundled motion

Train AI on which sequence shape, ICP cut and intent signal end in a closed deal.

  • Step-level reply scoring per persona and industry
  • Lookalike account scoring against the Apollo company graph
  • Dialler outcome classifier on call disposition and follow-up sequence

Custom apps on your Apollo data

Internal tools for RevOps, SDR leadership and AE managers.

  • RevOps workbench with sequence and database-credit spend per segment
  • SDR leaderboard tied to pipeline, not dials
  • Coverage view of ICP accounts with no active Apollo sequence
Use cases

Use cases we deliver with Apollo.io data.

A list of concrete reports, automations and AI features we have built on Apollo.io data. Pick the one that matches your situation.

Sequence-to-revenueWhich Apollo sequence books meetings that become closed deals.
Database freshnessBounce and job-change rate on enriched contact records over time.
Dialler yieldConnect rate and meeting yield per dial, by rep and time-of-day.
ICP match coverageShare of enriched accounts that fit the ideal customer profile.
Bundle savings checkApollo licence cost versus the data-plus-engagement stack it replaces.
Step-level replyReply rate and positive-reply rate per step in the sequence.
Intent to meetingApollo intent signals converted to booked meetings, per topic.
Inbound chat to dealInbound meeting requests through Apollo tied to closed-won outcome.
SDR ramp curveHow new SDRs ramp on Apollo across their first four quarters.
Account penetrationNumber of contacts touched per target account in Apollo.
Sequence fatigueUnsubscribe and bounce trend per sequence and segment.
Credit efficiencyApollo enrichment credits spent per qualified opportunity.
Real business questions

Answers you will finally get.

Are we saving money by running Apollo instead of a data-plus-engagement stack?

Apollo licence and credit spend lined up against the equivalent ZoomInfo plus Outreach or Salesloft contract, plus the pipeline produced on each side. Tells finance whether the bundle saves real money or just shifts cost out of the line items the procurement team scans first.

How fresh are the Apollo contact records we are sequencing?

Bounce rate, invalid-title rate and job-change frequency on the Apollo contact set, trended by quarter and ICP segment. Tells SDR ops when a list needs a refresh cycle rather than waiting for reply-rate to fall off a cliff on the next campaign.

Which sequence and dialler combination books real meetings in our segment?

Apollo sequence step, dialler call disposition and meeting outcome joined to CRM opportunity stage. Surfaces the sequence step plus dial follow-up that produces meetings that become pipeline that becomes paid deals, per persona and per rep.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Apollo licence and credit spend tied to pipeline produced and to the cost of the bundled stack it replaces. Finance can see cost per qualified meeting, cost per booked deal and the real bundle saving versus a separate data and engagement contract.

For sales leaders

SDR and AE effort scored against booked meetings and pipeline, per sequence, per dialler outcome and per ICP segment. Coaching stops arguing about call counts and starts reviewing the step where this rep's Apollo sequence loses its reply.

For operations

Database freshness, ICP coverage and sequence hygiene in one picture. RevOps spots the segments where contact decay is outpacing enrichment and the sequences that quietly burn the list.

Ideas

What you can automate with Apollo.io.

Pair with HubSpot

Tie Apollo sequences to HubSpot deals and contacts

Apollo person, sequence, dialler call and meeting data lands on the matching HubSpot company, contact and deal. HubSpot-native revenue teams review pipeline with the specific Apollo sequence and step that produced each meeting attached to the deal, and a closed-won in HubSpot retires the contact from active Apollo sequences.

Pair with Outreach.io

Run Apollo and Outreach side by side during a tooling switch

Teams in the middle of moving from a separate Outreach plus data stack to bundled Apollo often run both for a quarter or two. We land sequence, reply and meeting data from each platform on the same person and account, so leadership can compare meetings booked, pipeline produced and rep effort on the two stacks before pulling the plug on either one.

Pair with Gong

Score Apollo dialler calls with Gong conversation data

Gong call transcripts, talk-listen ratios and objection tags match back to the Apollo dialler call or sequence step that generated them. Coaching reviews the step in the Apollo sequence where the rep's call consistently stalls, instead of a generic call list ordered by timestamp.

Pair with Slack

Route Apollo signals to the right Slack channel

Positive replies, booked meetings and high-value inbound signals from Apollo post into the right Slack channel, tagged to the account owner. SDR leaders see the wins as they happen and AEs pick up warm handoffs without refreshing a dashboard.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Apollo.io data lives.

Power BI logo
Power BI Microsoft
Microsoft Fabric logo
Fabric Microsoft
Snowflake logo
Snowflake Data warehouse
Google BigQuery logo
BigQuery Google
Tableau logo
Tableau Visualisation
Microsoft Excel logo
Excel Sheets & pivots
Three steps

From Apollo.io to answers in three steps.

01

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

02

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

03

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

  • Apollo.io connector configured and running
  • Warehouse set up in your cloud account
  • Clean access for your Power BI, Fabric or Tableau team
  • Documentation on what's in the data model
  • Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

  • Everything in Self-serve
  • Dashboards built to the questions your team actually asks
  • Automations between your systems
  • AI workflows scoped to real tasks your team runs
  • Custom apps where a dashboard does not cut it
  • Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

Should we keep the Apollo bundle or split it back into a data tool and an engagement tool?

The honest answer lives in the warehouse, not the sales deck. We land Apollo licence and credit cost, sequence yield and dialler outcome next to the equivalent specialist contracts you would otherwise sign with a database vendor and an engagement vendor. Teams whose ICP is well-covered by Apollo's database typically keep the bundle; teams chasing niche personas where data accuracy lags often split it.

Is Apollo or the CRM the source of truth for contacts and deals?

The CRM stays the system of record. Apollo holds the sequence, the dialler call and the engagement detail that the CRM typically flattens into a single activity log, plus a CRM-light deal board for teams without a heavier CRM. In the warehouse we reconcile Apollo and the CRM on contact and opportunity id so reporting can reference either side without disagreeing about who owns the record.

GDPR-compliant
Data stays in the EU
You own the warehouse

A first deliverable live in four to six weeks.

We review your Apollo.io setup and the systems around it. Together we pick the first thing worth building.

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