B2B partnerships and alliances research: understanding strategic alliances and co-sell
Alliance strategies are built on guesses about what partners want and how co-sell really works. This guide shows how to research strategic alliances and co-sell motions with the people who run them.
B2B partnerships and alliances research is the study of how strategic alliances and co-sell relationships actually perform: what motivates a partner to invest in you, where joint selling breaks down, how much a partner really influences a customer’s decision, and what separates a productive alliance from a logo on a slide. The reliable source for those answers is the people who run these relationships every day, alliance leaders, partner managers, co-sell reps, and the customers who bought through a joint motion. This guide shows how to research strategic alliances and co-sell with verified professionals, so your partner strategy rests on evidence instead of optimism.
This post focuses deliberately on strategic, non-transactional partnerships. If you are researching resellers, distributors, and system integrators who move product for margin, that is a different study with different incentives, covered in our companion piece on B2B channel and partner ecosystem research. The two are complementary, and this one picks up where the transactional channel ends.
What alliances and co-sell research is, and is not
Strategic alliances are relationships where two companies jointly pursue customers, build integrated offers, share pipeline, and amplify each other, without one simply reselling the other. Co-sell is the selling motion inside many of those alliances: two vendors working the same account, sharing leads and account intelligence, often with incentives to source and close deals together. Marketplaces and partner programs have formalized a lot of this, and firms like Forrester have documented how much B2B revenue now flows through ecosystems rather than direct sales alone. Gartner has similarly tracked the shift of pipeline toward ecosystem and partner-sourced deals.
This research is not a satisfaction survey of your partner directory. It is an investigation of behavior and incentives: why partners engage or go quiet, why co-sell deals stall, and whether the partnership actually changes customer decisions. And it is explicitly not channel resale research. Resellers optimize for margin on a transaction; alliance partners optimize for strategic fit, customer demand, and the economics of a joint motion. Treating the two as the same study is the most common mistake, and it produces advice that fits neither.
Why most alliances underperform
The uncomfortable baseline is that most alliances deliver far less than the press release promised. The reason is not strategy, it is attention. Your partner’s sellers and leaders have scarce time, and your relationship competes with dozens of other alliances for it. A partnership that is not actively prioritized by the partner’s own people is functionally dormant, no matter how it reads on a slide.
Research that accepts this reframes the question. Instead of asking how to sign more partners, it asks what makes a partner’s sellers choose to lead with you in a live deal. The usual drivers are economics, how much the rep and the partner company make, ease of selling, whether the integration and the joint pitch are genuinely easier to close, customer demand, whether buyers are actually asking for the combination, and executive sponsorship, whether leadership on both sides is visibly invested. McKinsey and Harvard Business Review have both published on why alliances fail on governance and incentive misalignment rather than on the original thesis, and Deloitte has documented how joint governance and executive sponsorship separate the alliances that scale from the ones that stall. Researching those drivers tells you where to concentrate investment instead of spreading it thin across a directory of inactive logos.
The co-sell motion, and where it breaks
Co-sell looks simple in a diagram and is full of friction in practice. Mapping that friction is where the research pays off.
| Co-sell stage | What should happen | Where it commonly breaks |
|---|---|---|
| Account alignment | Both sides agree which accounts to pursue jointly | Overlap data is stale or neither side shares pipeline |
| Lead sharing | Partner routes a qualified lead to your team | No incentive to share, or no system to route it cleanly |
| Joint pitch | Reps present an integrated offer to the buyer | The integration story is thin or reps have not been enabled |
| Deal execution | Both sellers drive the same opportunity | Credit and compensation rules create conflict, not cooperation |
| Attribution | Each side gets recognized for its contribution | Attribution models disagree, so trust erodes over cycles |
The pattern across these stages is that co-sell fails on incentives and plumbing far more than on strategy. Platforms such as Crossbeam exist precisely because account overlap and data sharing are the first points of failure. But tooling cannot fix a compensation rule that punishes reps for sharing credit, and only talking to the reps who live it surfaces that kind of hidden disincentive. This is why co-sell research has to reach the people doing the selling, not just the leaders who designed the program.
What to research, and who to ask
A complete alliances study triangulates across four perspectives, because each one sees a different slice of the truth.
Your own alliance and partner managers describe the intended strategy and where they feel resistance. The equivalent leaders at partner companies describe how your relationship ranks against their other priorities, which is often sobering. Co-sell reps on both sides describe the daily friction, the compensation quirks, the enablement gaps, the deals that died in handoff. And the customers who bought through a joint motion describe how much the partnership actually mattered, which frequently differs from both vendors’ assumptions.
That last group is the most overlooked and the most revealing. Vendors tend to over-attribute influence to their partnerships because the attribution model rewards it. Buyers, asked directly who was in the room and whose recommendation carried weight, often tell a different story. Reaching those buyers is the same recruitment challenge as any serious enterprise buyer research, and it connects directly to how buying committees weigh outside recommendations in a selection process.
Measuring partner influence on real deals
The headline question for most alliance leaders is whether partnerships actually move revenue, and answering it well requires both data and interviews.
In the deal data, compare partner-sourced and partner-influenced opportunities against direct ones on win rate, deal size, and sales-cycle length. If partner-influenced deals close at materially higher rates or larger sizes, that is a signal worth investing behind. But the data only shows correlation, and attribution models are notoriously generous to whoever built them.
The interviews are what make the finding credible. Ask buyers who was involved, whether an integration or joint offer changed their shortlist, and whether the partner’s recommendation carried real weight or was ratification of a decision already made. This is where alliances research connects to broader GTM research on ICP, segments, and messaging and to validating product-channel fit with real buyers. The gap between a partner’s claimed influence and a buyer’s reported experience is often the single most useful output of the whole study.
From findings to a partner investment decision
Research that only describes the partner ecosystem is interesting. Research that reallocates investment is valuable, and alliances studies tend to pay back through three concrete decisions.
The first is where to concentrate. Most partner portfolios follow a long tail: a handful of relationships drive almost all the joint pipeline, and the rest are dormant logos that consume program attention without returning it. Research that ranks partners by their sellers’ actual willingness to lead with you, not by signed agreements, tells you which three or four relationships deserve dedicated headcount and which belong in a self-serve tier. That reallocation alone often moves more pipeline than any new signing.
The second is what to fix in the co-sell motion. When reps on both sides describe the same friction, stale overlap data, a compensation rule that punishes sharing, a thin integration story, you have a prioritized fix list grounded in evidence rather than a program manager’s hunch. The third is how to pitch the alliance to the market, because the buyer interviews tell you which joint value propositions actually changed a shortlist and which were ignored. Those three outputs turn a vague mandate to do more partnerships into a specific, defensible plan.
Common mistakes to avoid
A few failure patterns show up repeatedly in alliances research, and naming them upfront saves a study. The first is surveying only your own partner managers, who are incentivized to report the relationship as healthier than it is. The second is counting signed partners as a success metric instead of active ones, which flatters the program while hiding that most relationships are dormant. The third is trusting internal attribution data without buyer validation, since attribution models reward whoever built them. And the fourth is pooling very different partner types, a reseller and a strategic technology ally, into one analysis, which produces advice that fits neither and blurs the line this post deliberately draws with the channel ecosystem study.
Why verified sourcing decides the study
Alliances research depends on reaching a very specific and scattered population: alliance leaders, partner managers, and co-sell reps at both your partners and comparable companies, plus buyers who purchased through a joint motion in the recent past. These roles are a small fraction of any professional panel, and they are easy to impersonate on unverified platforms, where a respondent can claim to be a partnerships director to qualify for an incentive.
That makes identity verification the difference between usable findings and expensive noise. You need people whose role and company can be confirmed, reached by function, industry, and seniority, and ideally segmented by the specific alliance ecosystems they operate in. The sourcing discipline is the same one that governs reaching software buyers, admins, and power users in B2B SaaS: the narrower the role, the more verification matters. And when your alliances span regions, it overlaps with international B2B research across APAC and EMEA, since partner economics and co-sell norms differ sharply by market.
Frequently asked questions
What is B2B partnerships and alliances research?
It is the study of how strategic alliances and co-sell relationships actually work: what motivates partners to invest in your relationship, where co-sell motions break down, how much influence partners have over customer decisions, and what distinguishes a productive alliance from a logo on a slide. It is run with alliance leaders, partner managers, and co-sell reps who operate these relationships day to day.
How is this different from channel and reseller research?
Channel and reseller research studies transactional resale: distributors, value-added resellers, and system integrators who buy or move product for margin. Alliances and co-sell research studies strategic, non-transactional relationships where two vendors jointly pursue customers, share pipeline, and build integrated offers. The incentives, metrics, and failure modes differ, which is why we treat them as separate studies and cross-reference them.
What does co-sell actually mean in a B2B alliance?
Co-sell is a motion where two companies jointly sell to the same customer, sharing leads, account intelligence, and sometimes revenue credit, rather than one reselling the other. It commonly runs through cloud marketplaces and partner programs where sellers get incentives to source and close deals together. Research on co-sell focuses on seller behavior, incentive alignment, and the friction that stops joint deals from closing.
Why research partner incentives instead of just signing more partners?
Most alliances underperform because partner attention is scarce and your relationship competes with dozens of others for it. Signing more logos does nothing if none of them prioritize you. Research into what actually motivates a partner’s sellers and leaders, economics, ease of selling, customer demand, and executive sponsorship, tells you where to concentrate investment rather than spreading it across a directory of inactive partners.
Who should you interview for alliances research?
Interview across the relationship: your own alliance and partner managers, the equivalent roles at partner companies, co-sell reps who run joint deals, and the customers who bought through an alliance motion. Each sees a different part of the truth. Alliance leaders describe strategy, co-sell reps describe daily friction, and customers reveal how much the partnership actually influenced their decision.
How do you measure a partner’s influence on a deal?
Combine deal-level analysis with buyer interviews. In the data, look at whether partner-sourced or partner-influenced deals close at higher rates or larger sizes. In interviews, ask buyers who was in the room, whose recommendation carried weight, and whether the integration or joint offer changed their shortlist. Buyers often attribute influence differently than the partner’s attribution model does, and that gap is the finding.
Research your alliances with the people who run them
Alliances research lives or dies on reaching the right people: verified alliance leaders, co-sell reps, and the buyers who purchased through a joint motion. CleverX connects you to more than 8 million verified B2B and B2C professionals across 150+ countries, filtered by role, industry, and seniority, so you can interview partnership and co-sell operators and the customers they influenced, and field a structured study in days rather than months. Because every participant is identity-verified, you can trust that the partnerships director you interview actually runs partnerships.