Kea Insight / Analyst Relations

How Analysts Shape an RFP Before the RFP Exists

By Sneha Kapoor

By the time an RFP reaches a vendor, some of the most important decisions may already have been made.

The buyer has chosen the language used to describe the problem, decided which capabilities belong in scope, formed a view of the relevant category and often created an initial list of vendors worth considering. Industry analysts can contribute to each of those steps through research, inquiry and advisory conversations.

That does not mean an analyst writes every RFP or controls every shortlist. It means analyst influence can enter the buying process upstream, before the vendor sees a formal document.

Influence starts upstream

A buyer rarely begins a major technology purchase with a blank sheet of paper. Teams talk to peers, consultants and analysts. They read market research. They review prior projects and internal standards. They try to understand which type of solution they need before deciding which suppliers to evaluate.

Analysts are particularly useful at this stage because they can help the buyer structure the problem. They may explain how a market is segmented, which capabilities have become standard, where risks tend to appear and which questions other clients are asking.

That advice can affect the purchase without mentioning a specific vendor at all. If the analyst persuades the buyer that a certain architectural capability is essential, every supplier without that capability starts the process at a disadvantage.

Analysts shape the language buyers use

Research firms create terminology, category definitions and evaluation frameworks that buyers reuse because they provide a common language for complex decisions.

That language can travel into internal business cases, requirement documents, procurement discussions and RFPs. A phrase that began in research may become a heading in a buyer’s scoring sheet.

This matters for vendors because internal product language is often different from the language the market has adopted. If your team describes the same capability in a completely different way, the buyer may not recognise that you meet the requirement even when the underlying functionality exists.

AR can help Product Marketing and Sales understand which external terminology is becoming normal, and where the company should translate rather than insist on its own vocabulary.

Research can become evaluation criteria

Analyst research often identifies capabilities, risks or maturity factors buyers should consider. Procurement teams and project leaders can use those ideas when building their own requirement lists.

The result is an important distinction: the analyst may influence the criteria without influencing the final vendor recommendation directly.

For example, if buyers are repeatedly advised to evaluate integration depth, deployment flexibility or governance controls, those topics can become formal scoring criteria. Vendors that understand the market discussion early have more time to build evidence, clarify positioning and identify genuine gaps before an RFP arrives.

This is why waiting for an evaluation questionnaire or RFP to discover what the market values is risky. The questions usually existed before the document did.

Shortlists can form before outreach begins

Another upstream effect is vendor discovery. Buyers use research and analyst conversations to understand which suppliers are credible enough to investigate further.

A vendor can therefore lose without ever receiving a formal rejection. It may simply never enter the first list.

Being visible in relevant research does not guarantee inclusion, and absence does not automatically exclude a company. Buyers use multiple sources. But if analysts covering the market do not understand the vendor, they cannot accurately surface it when clients ask who should be considered.

That is one reason consistent AR matters. The objective is not only coverage. It is keeping the analyst’s mental model current enough that the company can be considered when the market question arises.

Why Sales often sees the influence too late

Sales usually encounters analyst influence after it has already shaped the deal. A prospect mentions a report, uses unfamiliar terminology, asks about a capability that suddenly seems disproportionately important or says an analyst has recommended a different approach.

At that point the vendor is responding to criteria it did not help anticipate.

The wrong reaction is to treat the analyst as an external objection to overcome. The better question is what the buyer heard, why it mattered and whether the same issue is appearing elsewhere.

Those signals should travel back into AR. A prospect citing a specific analyst, report or requirement is market intelligence. If several deals surface the same pattern, the company has learned something about how the category is being bought.

What AR can do about it

AR cannot and should not try to dictate buyer RFPs. It can make sure the company participates credibly in the market conversation that precedes them.

Know which analysts buyers actually consult. Do not assume the biggest research firm is always the most relevant one.
Track research themes, not just mentions. The important signal may be a capability becoming central to the category even when your company is not named.
Bring customer evidence. Analysts need proof of how capabilities work in real buying and deployment situations.
Feed analyst language back into Sales and Product Marketing. Teams need to recognise the terminology buyers may use.
Create a Sales-to-AR feedback loop. When analyst influence appears in a deal, capture it and look for repetition.
Build evaluation evidence early. Do not wait for a questionnaire to start gathering the proof the market already expects.

The practical lesson is that the RFP is often a late-stage artifact of an earlier decision process.

If AR only becomes interested when the document arrives, it is working downstream of the influence it is supposed to understand.

Put this into practice

Get upstream of the RFP.

Kea can help you connect analyst research, buyer language and sales feedback so the company sees important evaluation criteria before they arrive in a formal RFP.

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