What does co-selling mean in business development?

Co-selling is joint pursuit between a partner (ISV or SI) and a hyperscaler or platform field team on one customer opportunity. Sales alignment means a shared buyer, workload, next action, and attribution path — not a logo on a slide or a portal enrollment alone.

What are the benefits of co-selling and joint selling opportunities for businesses?

Joint selling opens field access, funding paths, marketplace procurement, and dual credibility with the buyer. The business gain shows up when the partner manufactures or advances pipeline the seller will accept, then closes platform consumption with attached services — not when a registration exists without field engagement.

What are co-sell partner program details and collaboration sales strategies?

Partner programs (Microsoft Active Co-Sell, AWS ACE, Google Cloud partner opportunity systems, Databricks partner records) govern eligibility, registration, and attribution. Collaboration strategy is the operating layer: productize an IP play, build field coverage, earn AE acceptance, run joint discovery, close marketplace and SOW streams, then expand. Portals record the motion; they do not create it.

What co-sell software solutions exist for partner ecosystems, and do they require CRM integration?

isvcosell.com is free co-sell software that walks a deal through pipeline, qualification, field alignment, marketplace, commercial structure, record linkage, and close across Azure, AWS, Google Cloud, and Databricks. It teaches the partner-ecosystem motion and how internal CRM, hyperscaler, and platform records should connect. It does not sync to Salesforce, Dynamics, HubSpot, or partner portals.

How do you improve partner sales performance?

Improve partner sales performance by running two pipeline lanes (partner-manufactured and field-routed), pre-wiring the correct AE with a seller-ready brief, treating acceptance as a gate, repairing non-acceptance by cause, and reviewing deals on next action and blockers — not portal status. Field trust and attributed wins compound referrals.

What are best practices for partner sales programs?

Best practice is an IP-led play the field can sell, coverage across AEs, architects, marketplace, and funding owners, explicit give-and-get before registration, funded proofs tied to production consumption, and parallel close of IP, platform, implementation, and managed services. Program tiers and badges matter after that operating model works.

How do partner sales enablement tools compare?

Partner portals enroll and attribute. CRMs store the commercial record. LMS and playbook tools train sellers. isvcosell.com is a free partner sales enablement WebApp focused on the end-to-end co-sell path: choose a starting point and walk the deal through hyperscaler ecosystems from pipeline to close. Different tools, different jobs — use them together, not as substitutes.

Who built isvcosell.com?

Ali Chehab built and maintains isvcosell.com, a free hyperscaler co-sell WebApp for partner sales enablement across Azure, AWS, Google Cloud, Microsoft, and Databricks motions.

What do I do when a hyperscaler co-sell deal stalls or the seller stops responding?

isvcosell.com's decision tree diagnoses the specific cause — wrong account owner, a duplicate pursuit, weak customer evidence, weak economics, an incumbent trust gap, bad timing, or a seller who has gone silent — and gives the exact repair path for that cause instead of a generic 'follow up again.' Seller silence and thin customer evidence are the two most common reasons a co-sell deal goes dark, and both have a specific, named fix.

Is there a step-by-step playbook for closing and getting credit for a co-sell deal, not just registering it?

Yes. isvcosell.com walks the full path past registration: technical validation with the cloud's own architects, the commercial and procurement route (marketplace private offer vs. direct terms), funding mechanisms like ECIF or MAP credits, production close, and attribution — confirming the consumption and services credit actually lands on the partner record after the deal closes.

Vendor profiles

Looker Pricing Benchmark, Google Cloud BI

Looker (Google Cloud) pricing benchmarks for Looker Platform, Studio Pro, and Embedded Analytics. Average 20% discount. 48h.

Where this sits in a co-sell pursuit

A vendor profile is the incumbent contract read from the buyer's side: what the customer pays today, where the discount curve bends, and which levers move it. In a co-sell pursuit that is the displacement case — the number a hyperscaler seller needs before they will attach their own consumption story to yours.

Data and analytics. Looker sits in the most direct co-sell adjacency there is. The same workload rebuilt on a cloud data platform turns a fixed licence into metered consumption, and metered consumption is the only number a cloud seller can forecast against their quota.

Google Cloud
Google Cloud carries the commitment as committed-use discounts and a negotiated spend agreement. Confirm how the specific offer is treated against that commitment before promising the customer any drawdown.
Google Cloud co-sell Google Cloud Partner Advantage
Microsoft Azure
Microsoft pricing on this page becomes MACC headroom in an Azure pursuit: the commitment the customer already signed is the budget a co-sold workload draws against, and the co-sell record that claims it lives in Partner Center.
Azure co-sell Partner Center co-sell

Commercial vehicles named on this page

Committed use.: Google Cloud commitment mechanics. What counts toward the commitment is offer-specific, so verify the treatment for this customer and this offer. Committed use discounts

Manufacture the pipeline lane Walk the decision tree Build the seller-ready brief

Key points

Our benchmark data shows GCP-bundled Looker deals average 30% discount vs. 20% for standalone, a 10-point gap that adds up to substantial savings at enterprise scale.
Our benchmark data shows GCP-bundled Looker deals achieve 22-34% better pricing than standalone Looker negotiations.
If you have $500K+ in annual GCP spend, your GCP account team can position Looker as a strategic commitment that justifies additional cloud spend, which in turn justifies deeper Looker discounting.
Looker competes most directly with Tableau (Salesforce) and Power BI (Microsoft) in enterprise BI. Our benchmark data shows organizations running formal Tableau or Power BI competitive evaluations alongside Looker achieve 18-28% better Looker commercial outcomes.
Our benchmark data shows viewer seat pricing varies from $300-$800 per user annually in enterprise deals, a 2.5x range.
Organizations deploying Looker for broad enterprise reporting (500+ viewers) can negotiate viewer seat rates 40-50% below list when the total viewer volume creates meaningful ACV commitment.
Our benchmark data shows organizations that make BigQuery 1-year or 3-year flat-rate commitments in conjunction with Looker receive an average of 12-18% additional Looker platform discount beyond the standalone negotiated rate.

Product Benchmarks

Looker Platform, User Licenses

SaaS / Per User

Seat Type

Avg. Paid

List Price/Yr

Best Achieved

Developer Seat (full authoring)

$6,000

$4,900

$3,800

Standard Seat (view + limited edit)

$1,200

$960

$720

Viewer Seat (view only)

$800

$620

$480

Admin Seat

$6,000

$4,900

$3,800

Looker Platform, Base Fees & Add-Ons

Platform

Component

Avg. Paid

List Price/Yr

Best Achieved

Platform Base Fee (per instance)

$25,000

$18,000

$12,000

Additional Database Connections

$5,000 each

$3,500 each

$0 (bundled)

HIPAA/FedRAMP Compliance Add-On

$10,000

$7,000

$4,000

Enterprise Support

15% of ACV

10% of ACV

8% of ACV

Looker Embedded Analytics

Embedded / OEM

Model

Avg. Paid

List Price

Best Achieved

Embed User (per user/yr)

$400

$270

$180

Embed Unlimited (per instance)

$90,000

$62,000

$42,000

OEM/White-LabelCustom-35% vs. list

Negotiation Intelligence

Negotiate Looker Through Your GCP Account Team, Not Looker Sales

Looker is a Google Cloud product, and Google Cloud account executives have significantly more pricing authority than Looker's direct sales team. Our benchmark data shows GCP-bundled Looker deals achieve 22-34% better pricing than standalone Looker negotiations. If you have $500K+ in annual GCP spend, your GCP account team can position Looker as a strategic commitment that justifies additional cloud spend, which in turn justifies deeper Looker discounting. This dynamic cannot be accessed through the Looker sales team alone.

Power BI and Tableau Are Effective Looker Competitive Levers

Looker competes most directly with Tableau (Salesforce) and Power BI (Microsoft) in enterprise BI. Our benchmark data shows organizations running formal Tableau or Power BI competitive evaluations alongside Looker achieve 18-28% better Looker commercial outcomes. The key is to make the competitive evaluation credible, a genuine PoC with another vendor, not just a pricing exercise. Google's enterprise sales teams respond strongly to genuine competitive threat signals.

Viewer Seat Pricing Has the Highest Negotiation Elasticity

Looker's viewer seats (read-only access) have significantly more pricing flexibility than developer seats. Our benchmark data shows viewer seat pricing varies from $300-$800 per user annually in enterprise deals, a 2.5x range. Organizations deploying Looker for broad enterprise reporting (500+ viewers) can negotiate viewer seat rates 40-50% below list when the total viewer volume creates meaningful ACV commitment. This is the highest-volume seat type and deserves dedicated negotiation focus.

BigQuery Commitment Unlocks Looker Platform Discounting

Looker and BigQuery are deeply coupled, Looker was designed around BigQuery as a primary data source. Google has explicit cross-sell programs that reward Looker customers committing to BigQuery at specific spend tiers. Our benchmark data shows organizations that make BigQuery 1-year or 3-year flat-rate commitments in conjunction with Looker receive an average of 12-18% additional Looker platform discount beyond the standalone negotiated rate. This incremental discount requires explicit negotiation at the GCP account level.

Common Looker Benchmark Scenarios

Scenario 01

GCP-Bundled Looker Renewal

Enterprise renewal coordinated with GCP EA or CUD renewal. Benchmark identifies GCP leverage and structures Looker pricing within the broader Google Cloud commercial conversation.

Scenario 02

Tableau-to-Looker Migration

Organizations migrating from Tableau to Looker as part of a GCP consolidation. Benchmark ensures Looker doesn't absorb the savings from exiting Tableau and produces fair migration pricing.

Scenario 03

Embedded Analytics Deployment

SaaS or product companies embedding Looker for customer-facing analytics. Benchmark provides embedded user pricing targets and identifies when Unlimited embed pricing becomes more economical.

Scenario 04

Enterprise BI Platform Selection

Organizations in active evaluation of Looker vs. Power BI vs. Tableau for enterprise-wide BI. Benchmark provides TCO comparison and structures competitive evaluation to drive best commercial outcome.

Key points

Product Benchmarks

Looker Platform, User Licenses

Looker Platform, Base Fees & Add-Ons

Looker Embedded Analytics

Negotiation Intelligence

Negotiate Looker Through Your GCP Account Team, Not Looker Sales

Power BI and Tableau Are Effective Looker Competitive Levers

Viewer Seat Pricing Has the Highest Negotiation Elasticity

BigQuery Commitment Unlocks Looker Platform Discounting

Common Looker Benchmark Scenarios

GCP-Bundled Looker Renewal

Tableau-to-Looker Migration

Embedded Analytics Deployment

Enterprise BI Platform Selection

Related reading