B2B Growth
FetchIt helps B2B companies understand how qualified buyers are won today, identify the real acquisition constraint, and build or test only the mechanisms that earn their place.
What changed
For many B2B companies, acquisition economics are changing. The first step is to understand which current mechanisms still work, where the real constraint sits, and whether a new channel deserves a test at all.
Where buyers research now
When digital discovery is relevant, buyers may research across search, AI tools, comparison content, and trust signals before contacting sales. The job is to determine whether those surfaces materially influence your buyers — not to assume they do for every B2B company.
Specific Google queries narrowed to category, application, and use case — well past brand-name terms.
ChatGPT and Perplexity comparing suppliers, synthesizing options, and answering before the buyer ever clicks.
Google's AI answers that decide who gets cited before the listings ever load.
Off-site authority, structured content, reviews, and clear positioning — read as cross-references by AI tools.
Is a search-led digital demand test the smallest useful next move — or is the real constraint somewhere else?
The 30-day Sprint is used only when buyer behavior, search intent, economics, and the current growth engine make that fixed test worth running.
When search-led demand is the right hypothesis, 30 days of buyer inquiry data can show whether that channel deserves further investment.
The sprint thesis
The sprint
Once the mechanism-fit case is clear, the Sprint is structured to produce signal fast. Each phase has a defined output and one purpose: determine whether this search-led channel deserves more investment.
01 · Build
We build one focused landing page structured around what qualified buyers care about: reliability, use-case fit, customization, compliance, delivery, support, and commercial outcomes. Not a brochure. A conversion tool.
02 · Test
We run a focused Google Ads test against buyer-intent search terms for your category. This is not a broad media buy. It is a demand diagnostic — designed to measure real search volume and buyer-intent quality.
03 · Visibility
Buyers are no longer searching only on Google. The sprint establishes a foundation for AI-era visibility through structured content, FAQ and comparison assets, schema, profile depth, and relevant off-site authority signals.
04 · Decide
Every inquiry is reviewed against a qualification rubric built around your buyer profile. We separate serious buyer interest from general research, qualified opportunities from noise.
You walk away with the data, the assets, and the recommendation — yours to keep either way.
Decision data
The sprint is designed to give you decision-ready data. You own the work and the learnings, whether you continue with FetchIt or not.
Asset
A buyer-facing page built around commercial outcomes, trust signals, and qualified lead capture.
Data
A clear view of what buyers are actually searching for in your category.
Insights
Which messages resonated, which did not, and how your offer should lead in your market.
Analysis
Real companies, real buyer interest, and a practical read on inquiry quality.
Benchmark
A benchmark you can compare against your current channels — directories, trade shows, referral networks, or existing sales efforts.
Infrastructure
The beginning infrastructure for visibility across Google, AI Overviews, ChatGPT, Perplexity, and other research surfaces.
Decision
A direct assessment of whether this channel has enough signal to scale — with the reasoning behind it.
Who this is for
This works best for companies that sell to other businesses, where the buyer decision involves research and comparison — and where you want a clear, data-backed answer before committing to a longer program. If that sounds like where you are, the first conversation will make it clear quickly.
What comes next
If the data shows that the channel works and it remains the right constraint to address, the next step may be a sustained inquiry system. If the evidence points elsewhere, we stop, refine, or redirect instead.
Sustained program
For B2B companies where the sprint produced qualified inquiries and the channel deserves sustained investment.
Talk Through the Next StepNot every sprint leads to a retainer. If the data shows the channel does not have enough signal for your category, we will tell you that directly — and the sprint deliverables are still yours to keep.
Why FetchIt
B2B buyer acquisition is not only about launching ads. It requires understanding how you explain value, how buyers search, and what information they need before they inquire.
We do not recommend the Sprint simply because a company is B2B. It has to earn its place through buyer behavior, search intent, economics, and the actual growth constraint. Proof still comes before any longer commitment.
The sprint tests buyer-intent search terms, not brand awareness. Every keyword, every ad, and every landing page element is built to attract qualified inquiries — not clicks that look good in a report.
Buyers now research through AI tools before they ever fill out a form. The sprint builds an AI-era visibility foundation alongside the paid demand test — so you are not just testing Google Ads, you are building the infrastructure for how buyers will research suppliers next year.
Every engagement is led by Tanya directly. The team tests demand, reads the data, and produces a direct recommendation — not a deck full of impressions and click-through rates, but a practical answer to the question: should you invest more in this channel or not.
If the data says your category is not ready to scale through this channel, we will say so — clearly, with the evidence behind it.
Common questions
The Sprint is for B2B companies where buyers research and compare, meaningful commercial search exists, the current growth constraint supports testing a search-led owned acquisition path, and the fixed Sprint components are proportionate to the need. B2B status alone does not qualify a company.
The sprint is a fixed-fee engagement. We will confirm the cost before you commit, based on your category and the scope of the demand test. No hidden fees, no percentage-of-ad-spend pricing.
Not necessarily. The sprint includes building a focused landing page. If you have an existing website, we will assess whether it supports conversion or whether the sprint page should stand alone.
That is defined before the sprint launches. We establish qualification criteria together: company type, buyer intent, product fit, order size or volume potential, geography, and whether the inquiry reflects a real sourcing or purchasing need. This prevents the most common measurement failure in B2B lead generation: running a test and not knowing whether the leads actually mattered.
That is often where the sprint is most valuable. Niche categories tend to have lower search volume but higher buyer intent — which means a smaller, more focused test can produce a clear signal faster.
You own them. The landing page, keyword learning, inquiry data, and written recommendation are yours to keep. If you continue, we build on what worked. If you stop, you still leave with practical market learning.
Yes. The sprint is designed as an incremental test, not a replacement. It runs in parallel with whatever you are already doing, so you can compare results directly.
Then we tell you that directly. A clear "not enough signal to justify more investment right now" is still a useful result — it can prevent wasted spend on the wrong channel, message, or timing. The sprint fee is fixed regardless of outcome, so we are not incentivized to recommend scaling.
Tanya reviews every inquiry directly. If the sprint is a fit for your category, she will schedule a direct conversation to confirm parameters and scope. No handoff to a sales team. The first conversation takes about 30 minutes and ends with a clearer picture of whether the sprint makes sense.
Find the right next move
Tell us what your company sells, how customers are won today, what is already working, and what you are trying to change. We will first determine whether the Sprint fits the problem — not assume that it does.