Most of your pipeline will stall.
Not for want of leads. For want of the twenty-two people who have to agree.
Conversera runs full-funnel demand generation for enterprise technology brands — built for the way committees actually buy in 2026, and measured to the meeting.
OF B2B PURCHASES STALL MID-PROCESS
INTERNAL & EXTERNAL DECIDERS
OF THE JOURNEY BEFORE FIRST CONTACT
ARE UNHAPPY WITH WHO THEY PICKED
Four shifts, all of them at once.
None of these is a prediction. Each is already in the research, and each breaks a programme designed before 2024. We rebuilt ours around all four rather than bolting them on.
Thirteen people inside the account now shape the decision, and nine more outside it — analysts, peers, advisors the vendor never meets.
Research now begins in a generative engine. If your category story isn't structured to be cited, you are absent from the shortlist that forms there.
Buyers are more risk-sensitive than at any point in a decade. They validate with trials, references and third parties before they will commit.
Attribution spend is forecast to rise sharply through 2027. Your programme will be audited, whether or not it was built to be.
Your programme is talking to two of twenty-two.
Almost every demand programme is built to find the person who fills in the form. That person rarely decides anything alone. The economic buyer, the architect, the security lead, procurement, the incumbent's champion — each carries a different objection, and a deal stalls at whichever one you never spoke to.
We map the group before we spend a dollar: who is in it, what each one has to be told, and which of them is already looking. Then we work all of them — in their language, in their time zone, with the evidence their role responds to.
Four stages, mapped to how the decision is actually made.
Not a campaign calendar. An operating model that runs continuously, reports weekly, and gets cheaper the longer it runs.
ICP definition, buying-group mapping, target list build, and contact-level intent — so the programme starts with people, not personas.
Tiered content and channel work that gives every role on the committee the specific proof its job requires — and stays visible where AI does the research.
Multilingual SDR and BDR teams qualify and book meetings your sellers will accept, with the evidence attached and a reject standard we sign up to.
Attribution you can take to a board, and a quarterly decision about where the next dollar goes. The reason quarter four costs less than quarter one.
Four services. Deliberately not a menu of twelve.
Take one where you have a gap, or all four as one programme. Each carries the metric it is judged on — agreed before we start, reported every month.
We name the whole committee inside each target account and tell you which of them is in-market this week — resolved to the person, not the domain. Your sellers stop guessing who to call.
Content syndication, paid media and tiered thought leadership that speak to each role separately — plus the structured content that keeps you citable when a generative engine builds the shortlist.
Global, multilingual teams who qualify against your criteria and book meetings with the evidence attached. A reject-rate standard in the contract, not in the pitch.
1:1 depth at 1:many scale. Named-account plans, per-role messaging and orchestrated touches across marketing, sales and partners — so the committee meets one coherent argument instead of six campaigns.
The layer that makes four services affordable — and the governance that makes it safe.
Agents research accounts, draft the per-role variants and assemble the reporting. Humans own the strategy, the brand and the call. Ungoverned generative AI is now a board-level risk in this category; every output here passes a named reviewer and leaves an audit trail.
It is not why you would hire us. It is why the depth of personalisation costs what it does.
Every number here has a source. Ask us for it.
HPE, Red Hat and Vizrt will take your call. We would rather you heard it from them than read it here.
MQL DELIVERED
APPOINTMENTS
WINDOW
REJECT RATE
Across APAC, in-region and in-language: ICP build, per-role outreach, tele-verification and call-backs. A quarter of the leads converted straight to a booked appointment, and 98 in 100 survived the client's own quality review.
MQL DELIVERED
WINDOW
TELE-VERIFIED
LINGUAL, WORLDWIDE
A worldwide partner-marketing programme run in the partners' own languages and time zones. No lead reached the client until a human had spoken to the person on it — which is why a global rollout survived twelve weeks without a quality dispute.
VERIFIED CONTACTS
CONSULTANTS
LEADS / MONTH
DELIVERY REGIONS
You have three other options. Here they are, fairly.
Each of them is the right answer for someone. We would rather you ruled us out early than discovered the mismatch in month four.
Start with a pilot. Judge us on it.
One business unit, one region, one outcome, six weeks. Acceptance criteria agreed in writing before we begin — including what counts as a rejected lead.
Fixed scope, fixed price, six weeks. Proof of quality and speed before anything scales.
A defined volume of MQL, BANT or appointments against written acceptance criteria.
Monthly capacity across all four services, re-planned every quarter against what the data says.
Per lead or per appointment, with reject-rate SLAs and lead evidence on every record.
Operators who have carried the number themselves.
Led by senior people out of SAP, HPE and AI-product companies — the side of the table you are on. Headquartered at 5 Martin Place in Sydney, delivering from India, the Philippines, the United States and the United Kingdom across APAC, EMEA and North American time zones.
Six weeks. One number. Then decide.
Tell us the number you have to hit. We will send back a scoped pilot, a start date, and what we agree to be judged on — including what counts as a rejected lead.
Sydney, NSW 2000, Australia