PLG-to-Sales
PLG-to-Sales is a nine-step inbound play for your CRM, email and calls, from “Map the data model first” to “Let reps work from the CRM”. It uses HubSpot, Slack, LinkedIn, Apollo, ZeroBounce and one more tools.
Ashwanth S, Founder- Motion
- Inbound
- Channel
- CRM, Email, Call
- Steps
- 9
- Tools
- 6
The workflow
PLG-to-Sales
Product metricsObjectUsage per product org, stored next to the account.
Active usersObjectWho in the org actually uses the product.
RevenueObjectPlan and spend, so sales sees what the account pays today.
New users and new orgs land in the CRM the moment they happen.
Heavy usage data refreshed in batches, not per click.
Domains matched from product identifiers, checked on a QA dashboardIs this the kind of company that buys?
Is this company actually using the product?
Total account scoreBoth shownLead created automaticallyHigh-signal accountsThe lead name says why it was created. Owner and task assigned on creation.
Every stage has a written, checkable exit rule.
Deal health tagsAutoProblems surface on their own, not in the pipeline review.
Contacts on open deals are re-checked for job changes, and a missing buyer is found and verified.
LinkedIn
Apollo
ZeroBounceEmail and calendar connected. Deal fields filled from call notes.
Apollo
Chili PiperHubSpotHubSpotSlackLinkedInApolloZeroBounceChili Piper
The diagram as text
- 1
Map the product data into HubSpot
Product sign-ups, orgs and usage events (raw product data)
Product metrics (object): Usage per product org, stored next to the account. Tool: HubSpot.
Active users (object): Who in the org actually uses the product. Tool: HubSpot.
Revenue (object): Plan and spend, so sales sees what the account pays today. Tool: HubSpot.
Associations: contacts to companies to custom objects
- 2
Sync product data two ways
Real-time sync (per event): Sign-ups and Org created. New users and new orgs land in the CRM the moment they happen..
Batch sync (scheduled): Usage metrics and Active seats. Heavy usage data refreshed in batches, not per click..
Domains matched from product identifiers, checked on a QA dashboard: Tool: HubSpot.
- 3
Score fit and usage separately
Fit score (0 to 100): Industry, Headcount and Region. Is this the kind of company that buys?.
Usage score (0 to 100): Usage, Active users and Org growth. Is this company actually using the product?.
Total account score (both shown): Tool: HubSpot.
- 4
Work leads through exit criteria
Lead created automatically (high-signal accounts): The lead name says why it was created. Owner and task assigned on creation. Tool: HubSpot.
Lead stages: New, Attempting, Connected, Qualified and Ready for deal. Every stage has a written, checkable exit rule..
- 5
Create the deal and keep it healthy
Customer status → Pipeline
- Not a customer yet → New Business
- Already a customer → Existing Business
- Contract up for renewal → Renewal
Deal health tags (auto): Inactive, Overdue date, Missing contacts and Renewal soon. Problems surface on their own, not in the pipeline review. Tool: Slack.
Contact refresh (data decays): Contacts on open deals are re-checked for job changes, and a missing buyer is found and verified. Job: LinkedIn. Find: Apollo. Verify: ZeroBounce.
Rep works it from the CRM: Email and calendar connected. Deal fields filled from call notes. Sequence: Apollo. Book: Chili Piper. Log: HubSpot.
Outcome: Deal in the right pipeline. Tools: HubSpot.
The stack: HubSpot, Slack, LinkedIn, Apollo, ZeroBounce and Chili Piper.
Open the diagram full size (1180 px wide)
The play in nine steps
- 01
Step 1: Map the data model first
Most PLG to sales projects fail because the product data never fits the CRM. Draw it before you build it.
- List the entities: users, companies, product orgs, onboarding journeys, product metrics and revenue.
- Draw how they relate, then confirm each data point actually exists in the product database.
- Decide which fields sales needs to see. Sync those, not everything.
- 02
Step 2: Build custom objects in HubSpot
Product data stuffed into contact properties is impossible to report on. Objects keep it clean.
- Create custom objects for product metrics, active users and revenue.
- Associate them: contacts to companies to custom objects.
- 03
Step 3: Sync product and sign-up data
Sign-ups need speed, usage needs volume. One sync method cannot do both well.
- Sync sign-ups and new orgs in real time, on every event.
- Sync usage metrics and active seats in batches, daily or hourly.
- Match product orgs to company domains, and track match rate on a QA dashboard. Below 90 percent, fix the matching before trusting any score.
- 04
Step 4: Score fit and usage separately
A heavy user at a tiny company and a light user at a perfect account need different plays. One blended number hides that.
- Fit score, 0 to 100: industry, headcount and region.
- Usage score, 0 to 100: usage depth, active users and org growth.
- Roll both into a total, but keep the two parts visible on the record.
- 05
Step 5: Create leads from high-signal accounts
Reps should never have to dig through dashboards to find who to call.
- Create a lead automatically when an account crosses the score threshold.
- Name it with the reason, for example "Usage up 3x in 14 days".
- Assign an owner and a task on creation.
- 06
Step 6: Write exit rules for every stage
Without exit rules, "Connected" means something different to every rep and the forecast is fiction.
- Stages: New, Attempting, Connected, Qualified, Ready for deal.
- Each stage gets one checkable rule, for example Connected means a two-way conversation is logged.
- 07
Step 7: Create deals in the right pipeline
New business, expansion and renewal close differently. Mixing them breaks every report.
- Route on customer status:
- Not a customer: New Business
- Already a customer: Existing Business
- Contract up for renewal: Renewal
- Route on customer status:
- 08
Step 8: Surface deal health automatically
A stalled deal noticed on day 3 can be saved. Noticed on day 30, it is already lost.
- Tag deals automatically: inactive, overdue close date, missing contacts, renewal coming.
- Post new tags to the owner in Slack.
- Re-check contacts on open deals for job changes every month. A champion who left is the most common silent deal killer.
- 09
Step 9: Let reps work from the CRM
Every tab a rep has to open is a step they skip.
- Connect email and calendar to HubSpot.
- Run sequences in Apollo and book with Chili Piper, both logging back to the record.
- Fill deal properties from call notes so the record stays current without manual typing.
Tools used
The six tools this play names. Each links to the other plays that use it.
Related plays
Product Sign-Up Outreach
Clay webhookPer sign-upThis is all the product knows about the user. Everything else is found next.
FindymailClayA LinkedIn match on a personal email can point to a job the person left. Confirm the current employer before scoring.
LinkedInEnrich the company from the domainScore the account, not just the user, so a junior sign-up at a great company is not missed.
Fit score from a Clay formulaContact and company created or updatedTier on the record
Tier 1: LinkedIn and alertNowA personal LinkedIn touch from a rep, and the team hears about the sign-up.
HeyReachSlack
Tier 1: onboarding nudgeOpt-inOnly when the user gave a mobile and opted in at sign-up. One short message offering help with setup.
WhatsApp
Twilio
Tiers 2 and 3: emailAutoAn automated sequence tied to what they do in the product.
SmartleadClayFindymailLinkedInHubSpotHeyReachSlackWhatsAppTwilioSmartleadProduct Sign-Up Outreach
7 steps · Email, LinkedIn, CRM, WhatsApp, SMS
+3 moreHubSpot Account Tiering & Scoring
Closed won and closed lost, last 12 to 24 monthsStart with the highest revenue customers. Look for patterns in industry, size and geography.
The disqualification reasons that keep coming back.
Enrichment fieldsClay formulas assign the tierNew HubSpot propertiesCompany and contact data mapped field by field, so the sync never creates duplicates.
ClayFindymail
BounceBanHubSpotTier workflowsProperty triggerCompany workflows with re-enrollment on, so the tier changes when the data does.
FallbackMissing tierAccounts without a tier are flagged, not left to slip through.
Re-enrich any account last enriched over 90 days ago, and re-check its contacts for job changes.
LinkedInHubSpotClayFindymailBounceBanLinkedInHubSpot Account Tiering & Scoring
7 steps · CRM
Meeting Prep and Follow-Up
Booked meetings with an external attendeeDaily run
CompanySearched inside an absolute date window.
CRM historyFalls back to attendee email when no deal is linked.
Past callsWhat they already said, so nobody asks twice.
The briefDay beforeWho is coming, what changed, what is still open, a suggested agenda.
ClaudeSlackHubSpotlink on the dealReminder to the attendeeDay ofA short note with the time and the link, sent to the number they gave when booking.
WhatsAppTwiliobooked meetings onlyThe transcriptAfterA webhook fires when processing ends. Poll until it has sentences.
FathomA repeat webhook for one transcript is dropped.
Several recorders in one call make several transcripts with different ids.
RecapDecisions and open questions, posted to the account channel.
SlackAction itemsEach one goes to the person who committed to it, else the owner.
Claude
CRM and follow-upNext step on the deal. The email is drafted, a human sends it.
HubSpotGmailWhatsAppexisting chats onlyGoogle CalendarExaHubSpotFathomClaudeSlackWhatsAppTwilioGmailMeeting Prep and Follow-Up
6 steps · Email, CRM, WhatsApp, SMS
+3 more