Partner marketing runs deal registration, MDF (market development funds) tracking, co-marketing campaigns, partner enablement content, and attribution across partner-sourced and partner-influenced pipeline. Strkr ships the CRM shaped around the partner marketing motion.
A partner marketing team runs a workflow that neither sales CRM nor marketing automation gets right. Deal registration conflicts live in a SharePoint spreadsheet. MDF utilization gets tracked in a Google Sheet that the finance team maintains separately. Co-marketing campaigns run through an email tool that does not know which contacts came from which partner. Partner-sourced versus partner-influenced attribution devolves into end-of-quarter spreadsheet debates. The pain points below are what Strkr onboarding hears on every partner marketing intake call.
Two partners each register deals on the same end customer and the partner manager spends a week reconciling. Generic CRMs do not model deal registration as a first-class workflow. Strkr ships deal registration with end-customer uniqueness, first-to-register precedence, and conflict routing to the partner manager with full context: who registered first, what deal type, what estimated value, prior work history.
Partner MDF (market development funds) typically track in a Google Sheet that the finance team updates manually. The partner has no visibility into their balance. The partner marketing manager spends 8 hours per quarter reconciling. Strkr ships MDF as a first-class object tied to the partner with available balance, pending commitments, approved spend, and ROI reporting.
Partner marketing attribution is a political minefield. Partner-sourced means the lead originated from the partner. Partner-influenced means the partner participated in the deal cycle somewhere. The two drive different compensation and reporting. Strkr tracks both: a lead source field for partner-sourced attribution and a related-partner multi-select for partner-influenced attribution with timeline capture.
Partner enablement content (sales decks, battle cards, proof points, case studies, demo scripts) typically lives in a SharePoint folder with no versioning, no access tracking, and no update notifications. Partners stop using it. Strkr ships partner enablement content as a tracked asset library with version control, access analytics (which partner accessed what content), and update notifications.
Partner marketing investment should scale with partner performance. The platinum partner producing 32 percent of partner revenue warrants different co-marketing investment than the silver partner producing 2 percent. Most CRMs do not model partner tier as a first-class concept. Strkr ships partner tier with performance-based automatic reclassification, tier-specific MDF allocation, and tier-specific co-marketing programs.
The partner marketing quarterly report pulls partner-sourced pipeline, partner-influenced revenue, MDF utilization, campaign performance, enablement content usage, and partner tier movement. The data lives in six different places. The marketing ops person spends two weeks building the report. Strkr aggregates partner marketing data on a scheduled report that builds in a morning.
Strkr ships a tunable partner marketing schema with Partner, Deal Registration, MDF Allocation, Co-Marketing Campaign, Enablement Asset, and Partner Tier as first-class objects.
A partner in Strkr carries tier (platinum, gold, silver, bronze), partnership agreement terms, performance history (sourced revenue, influenced revenue, deal count), primary contact, assigned partner marketing manager, and QBR history. The record drives program eligibility and MDF allocation.
A deal registration ties to the partner with end-customer uniqueness, project uniqueness, deal type, estimated value, status (submitted, approved, rejected, bound), and precedence timestamp for first-to-register. Conflicts route to the partner manager with context.
An MDF allocation ties to the partner with the quarterly or annual MDF budget, available balance, pending commitments (requested but not approved), approved spend (paid), and ROI metrics (pipeline generated, revenue closed). The partner sees their MDF balance in real time.
A co-marketing campaign ties to one or more partners with program (webinar, event, content syndication, joint email, co-branded asset), target audience, budget source (MDF or partner co-invest), performance metrics (impressions, leads, pipeline), and timeline.
An enablement asset carries asset type (sales deck, battle card, proof point, case study, demo script, pricing sheet), version, approval status, access tier (which partner tier can access), and access analytics (which partner accessed when, download count).
The partner tier object defines tier thresholds (annual sourced revenue, deal count, certification level) and automatic reclassification rules. A partner meeting platinum thresholds for 2 consecutive quarters auto-promotes. Partner tier movement triggers program enrollment changes.
Partner-sourced leads carry the lead source field pointing to the partner record with the registration link, attribution date, and conversion path tracking. The pipeline reports split cleanly between direct, partner-sourced, and partner-influenced.
Partner marketing AI drafts in the professional voice partners expect from the vendor. Strkr AI runs with retrieval scope grounded in the partner record and the campaign history. The jobs below land in every partner marketing deployment inside the first two weeks.
Strkr AI drafts the monthly partner newsletter with program updates, product announcements, new enablement assets, upcoming co-marketing opportunities, and performance leaderboard. The partner marketing manager reviews, tunes, and sends. Monthly cadence lands without becoming a weekly scramble.
When a partner submits an MDF request Strkr AI drafts the approval memo with ROI projection, campaign plan review, budget impact, and recommendation. The partner marketing manager reviews, approves or routes for additional review, and sends. MDF decision turnaround drops from 11 days to 3.
When a deal registration conflict resolves Strkr AI drafts the decision response to each partner with the resolution, reasoning (first-to-register precedence, prior work history, partner tier priority), and next steps. The partner manager reviews and sends. Both partners get a professional explanation.
Strkr AI drafts the co-marketing campaign brief for a partner with the proposed program (webinar, event, content syndication), target audience, budget split (MDF versus partner co-invest), success metrics, and timeline. The partner marketing manager reviews and sends to the partner for alignment.
When a new enablement asset ships Strkr AI drafts the rollout note to the partner community with the asset summary, use cases, update notes versus the prior version, and recommended usage. The partner marketing manager reviews and sends. Partner awareness of new assets lifts substantially.
Strkr AI drafts the partner QBR deck with sourced revenue, influenced revenue, MDF utilization, campaign performance, enablement content usage, and recommended focus for the next quarter. The partner marketing manager reviews, tunes, and presents. QBR prep drops from a week to half a day per partner.
A partner marketing manager running 15 to 40 partners needs views that surface the right partner at the right time. The cards below describe the Strkr partner marketing operations views.
The partner scorecard ranks partners by sourced revenue, influenced revenue, MDF ROI, deal registration volume, and enablement content usage. The partner marketing manager sees program health in one view and identifies partners for investment or divestment.
The deal registration queue shows pending registrations awaiting approval, flagged conflicts needing resolution, and recent approvals. The partner manager works the queue daily to close the loop with partners within 24 hours.
The MDF utilization view shows MDF balance by partner with pending commitments, approved spend, and quarter-to-date pacing. Partners under-utilizing MDF flag for program outreach. Partners over-utilizing flag for conversation.
The campaign performance view ranks co-marketing campaigns by lead volume, pipeline generated, revenue closed, and MDF ROI. The partner marketing manager uses the view to decide which campaign patterns to double down on and which to drop.
The enablement usage view shows which assets each partner tier accesses most, which assets are stale, and which assets drive partner-sourced pipeline. The partner marketing manager uses the view to prioritize new content development.
The partner tier movement view shows partners trending toward promotion or demotion based on quarterly performance against tier thresholds. The partner marketing manager has early visibility to run tier conversations proactively.
Most partner marketing teams run on a stack of CRM plus Google Sheets plus SharePoint. The comparison below is Strkr partner marketing posture versus the typical stack.
| Feature | Strkr | Generic CRM plus Google Sheets |
|---|---|---|
| Deal registration workflow | First-to-register with conflict routing. | SharePoint spreadsheet. |
| MDF tracking | Object with balance, pending, approved, ROI. | Google Sheet finance maintains. |
| Co-marketing attribution | Sourced and influenced with timeline. | Manual spreadsheet reconciliation. |
| Partner enablement content tracking | Versioned with access analytics. | SharePoint folder unversioned. |
| Partner tier management | Performance-based auto classification. | Manual annual review. |
| AI drafting for partner comms | Six seeded partner marketing prompts. | None. |
| QBR deck automation | Scheduled with aggregated data. | Hand-built per partner each quarter. |
| Partner self-service portal | Partner-facing MDF balance and content. | Email requests. |
| Partner marketing quarterly reporting | Scheduled aggregation report. | Two-week manual build. |
The playbooks below are patterns Strkr onboarding sees across partner marketing team deployments.
A 22-partner SaaS reseller program ran deal registration in SharePoint and MDF in a shared Google Sheet. Deal registration conflicts ran 4 per month with weeklong resolution times. Strkr onboarding ran a 20-business-day migration with deal registration workflow, MDF tracking, and partner tier automation. Deal registration conflict resolution dropped from a week to 48 hours.
A 60-partner enterprise channel program ran a mix of Salesforce PRM plus a dozen spreadsheets. The partner marketing manager spent 60 percent of her time on report building. Strkr onboarding ran a 32-business-day migration consolidating the stack. The quarterly report that took two weeks now builds in a morning.
A 15-partner strategic alliance team ran deep co-marketing engagements (webinars, events, joint content). The attribution model needed to track partner-sourced versus partner-influenced across 11 to 14 month deal cycles. Strkr onboarding ran a 24-business-day migration configuring sourced attribution via lead source and influenced attribution via related-partner multi-select with timeline capture. End-of-quarter attribution debates ended.
A 180-partner distribution channel ran a tangle of PRM tools (Salesforce PRM, Impartner, Allbound) accumulated over four years. The partner marketing manager wanted consolidation. Strkr onboarding ran a 42-business-day migration consolidating the three tools into Strkr with the partner tier automation handling the volume. Monthly stack cost dropped substantially.
A 35-partner global agency channel ran MDF in multi-currency across North America, EMEA, and APAC. Strkr onboarding configured multi-currency MDF tracking with region-specific allocation, co-marketing campaigns scoped by region, and partner tier thresholds tuned per region. The partner marketing manager gained a global view for the first time.
Book a 30 minute call. We will walk through the deal registration workflow, the MDF tracking, and the attribution model with your actual partner count and tier structure.
Strkr deal registration enforces end-customer uniqueness and project uniqueness with first-to-register precedence as the default rule. When two partners register overlapping deals the system flags the conflict and routes to the partner manager with context: who registered first (timestamp), what deal type and value, prior work history with the end customer, partner tier, and current partner relationship status. The partner manager resolves and Strkr AI drafts the decision response to each partner with the resolution and reasoning. Both partners get a professional explanation and the resolution logs for audit. Agencies can configure alternative rules (partner tier priority, specialty match priority) through the workflow engine.
Yes. The MDF allocation object ties to the partner with the quarterly or annual MDF budget by currency, available balance, pending commitments, approved spend, and ROI metrics. Partner tier drives the MDF allocation formula (platinum partners get larger MDF budgets, bronze partners smaller). For global programs multi-currency MDF tracks per region with the regional MDF manager owning the allocation decisions. The partner sees their MDF balance in real time through the partner portal. The finance team sees the MDF commitment and payment pipeline through the integration to the finance system.
Partner-sourced attribution tracks on the lead source field: the lead originated from the partner with the registration link, attribution date, and conversion path. Partner-influenced attribution tracks on a related-partner multi-select on the opportunity: the partner participated in the deal cycle somewhere with a timeline note of when and how. The two attribution models coexist cleanly. Pipeline reports split direct, partner-sourced, and partner-influenced. Revenue reports apply the attribution rules per the partnership agreement (sourced typically 100 percent credit, influenced typically shared credit or qualifying credit). The attribution model configures per partner tier if the agreements vary.
The partner portal is a tenant-branded surface where partners log in to see their deal registration pipeline, MDF balance, co-marketing campaign history, enablement content library (filtered to their tier), and quarterly performance scorecard. Partners submit deal registrations and MDF requests through the portal. The partner marketing manager approves or rejects within Strkr. The portal is included in the Scale tier. For teams on Pro the partner-facing experience can run through the partner marketing manager with email handoffs. The subdomain architecture ships on the roadmap for per-partner subdomain branding.
Strkr runs flat per seat at $29 Starter, $59 Pro, or $119 Scale per user per month with a 14-day trial. For a 3-person partner marketing team on Scale the monthly spend lands at $357 for seats plus $49 for Strkr AI Enhancement. The 40 partners do not need Strkr seats (they interact through the partner portal and through email). The capability depth at the Scale tier covers deal registration workflow, MDF tracking, partner tier automation, co-marketing attribution, and the partner portal. For teams of 5 to 10 partner marketing operators managing 100+ partners the monthly spend scales linearly without AppExchange-style add-on fees.
Strkr is HIPAA compliant with a BAA available on request, GDPR and CCPA compliant today, and SOC 2 Type II is in progress with a target of 2026-Q4. For partner programs with international partners the GDPR posture matters: Strkr delivers data processing agreements through the standard terms and the audit log captures every record access with 90-day default retention tunable per tenant. Integration tokens live in AWS KMS, platform credentials live in AWS Secrets Manager. SSO via SAML or OIDC is live on Scale tier through Clerk, MFA with TOTP plus text-based verification is live across all tiers, and Verified Domains are live on Scale tier.
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