webnuvexa@studio: ~/engagement-models

→ ls engagement_models

01 fixed_fee_project

02 sprint_iteration

03 growth_retainer

04 dedicated_pod

05 fractional_cto

✓ all quoted upfront, none metered by the hour

// engagement_models

Five ways to work together. Each with an honest caveat.

Every engagement model below is a bad fit for somebody. We describe who that is, because the expensive mistake is signing the wrong shape rather than paying the wrong amount.

The five models at a glance

Shape, duration, billing mechanism and best fit. The details follow below.

engagement_matrix
ModelShapeTypical durationBillingBest fit
Fixed-fee projectOne defined outcome4 weeks to 9 monthsOne price for a written scope, invoiced in milestonesA defined deliverable with an end date
Sprint / iterationShort cycles, agreed goal each cycle2 weeks per cycle, rollingFixed fee per agreed cycle, renewed each cycleUncertain scope where the uncertainty is cheap to absorb
Growth retainerContinuous capacity after launch6 months minimumFixed monthly fee for a defined capacityA live product that needs compounding demand, not new features
Dedicated podA named team working in parallel6 months minimumFixed monthly fee sized to the podSeveral workstreams and roadmap ownership at once
Fractional CTOJudgement and leadership, not hands3 months to 12 monthsQuoted per engagement after scopingNo in-house technical leadership, or a decision that carries real risk

Fixed-fee project

The default. One defined outcome, one written scope, one price.

model: fixed_fee_project

→ best_fit: You know what you want built and roughly when it needs to exist. A launch, a replatform, a design system, a first revenue product.

→ duration: Four weeks for a focused design system, up to about nine months for a substantial platform build.

→ billing: One fixed price against a signed scope, invoiced at agreed milestones. Discovery is quoted separately and credited in full to the build.

→ included: Architecture and technical direction, design, implementation, code review, QA against a written definition of done, launch support and handover documentation.

→ how_to_start: Send a brief. We run a short scoping conversation, then quote discovery as its own fixed fee. You approve discovery, we produce the scope, you approve the scope, we build.

→ wrong_when: The scope genuinely cannot be defined yet, or you need us to keep changing direction indefinitely. Both belong in a sprint or a retainer.

Sprint / iteration

Short fixed-fee cycles for work where the uncertainty is cheap to absorb.

model: sprint_iteration

→ best_fit: You know the problem but not the solution, and the cost of being wrong is low. Exploration, a technical spike, an unfamiliar integration, a rebuild of one broken flow.

→ duration: Two-week cycles, rolling. Each cycle has one agreed goal and one agreed deliverable.

→ billing: A fixed fee per agreed cycle, quoted before the cycle starts and renewed at the next one. The studio keeps the speed gain; you keep the budget certainty.

→ included: A goal, a working increment, a short written read on what was learned, and a recommendation for what to do next.

→ how_to_start: Pick one problem. We agree the goal and the definition of done for a single cycle, then re-decide at the end of it.

→ wrong_when: You need all of it delivered on one date. Rolling cycles will never feel like a deadline to you, however disciplined we are about them.

Growth retainer

Continuous post-launch capacity for SEO, paid, analytics and conversion work.

model: growth_retainer

→ best_fit: A live product whose bottleneck is demand rather than features. You have a site or app that works and is not being found, tried or bought.

→ duration: Six months minimum, because compounding channels need a full loop before you can judge them fairly.

→ billing: Fixed monthly fee for a defined capacity. Indicative band: $3,000 to $12,000 per month, sized by site size, market competition and whether content is included.

→ included: Technical SEO work, content and on-page programmes, paid media management where in scope, analytics instrumentation, and a monthly written read on what moved and why.

→ how_to_start: A discovery and measurement pass first. If analytics are not trustworthy, month one goes on instrumentation and the rest of the budget is better spent afterwards.

→ wrong_when: There is no site or product to grow yet, or nobody on your side can act on findings. A retainer without an internal owner buys idle capacity.

→ no_guarantees: We do not guarantee rankings, traffic levels or revenue. No honest agency can. Anyone who guarantees a position on page one is either lying or about to renegotiate.

Dedicated pod

A named delivery team working in parallel on your roadmap.

model: dedicated_pod

→ best_fit: You have more work than one team can hold and you want ownership of streams rather than tickets. Multiple products, or a platform plus a marketing site plus a migration.

→ duration: Six months minimum. Shorter than that and the ramp-up cost lands entirely on you.

→ billing: Fixed monthly fee sized to the pod. Indicative band: $18,000 to $45,000 per month depending on pod size and seniority mix.

→ included: A tech lead who owns delivery, engineers, a designer, and growth capacity. A shared board, a weekly written status, and demos you can attend.

→ how_to_start: Define the streams, not the tasks. We size the pod against the streams, agree what your side owns, and start with a two-week onboarding into your codebase and process.

→ wrong_when: There is one stream of work, or nobody on your side can make prioritisation calls. A pod without internal decision-making is a very expensive meeting schedule.

Fractional CTO

Technical judgement and leadership. Explicitly not hands-on engineering capacity.

model: fractional_cto

→ best_fit: There is real technical risk but no senior technical leader accountable for it. Architecture choices, hiring a first engineering team, vendor selection, due diligence, board or investor questions.

→ duration: Three to twelve months, typically an initial decision period followed by a lighter oversight cadence.

→ billing: Quoted per engagement after scoping. As a market reference point only, virtual security leadership (vCISO) engagements commonly run $3,000 to $15,000 per month in 2026. That is a third-party market band, not our pricing, and a CTO engagement is scoped rather than priced from that band.

→ included: Architecture and stack decisions, technical plan, hiring guidance and interview support, risk review, vendor and cost evaluation, and written decision records your team can act on.

→ how_to_start: A focused assessment of the current situation and the decisions in front of you, with a written recommendation. If the answer is that you need engineers rather than a CTO, that is what you will be told.

→ wrong_when: You actually want a pair of hands on a build. Buying fractional leadership to get delivery capacity is the most common mismatch we see, and it fails on both sides.

Which one, honestly

The same model is right at one stage and wasteful at the next. Here is the recommendation we would actually give, including the stage where the answer is "not yet".

stage_recommendations
Your stageRecommended modelWhy, and what to watch
Idea, no validated problemScoped discovery onlyPay for a paid discovery phase and nothing else. Do not start a build. If we cannot see a plausible path to revenue, we will say so before you spend anything.
Building the first revenue productFixed-fee projectA tightly scoped MVP with a fixed price. A dedicated pod here usually buys capacity you do not yet need to spend.
Product is live, one team, demand is thinGrowth retainerThe bottleneck is demand, not features. Fund SEO, paid and conversion work for six months and measure it.
Backlog is larger than one team can holdDedicated podMore than one parallel stream, a roadmap that needs ownership, and an internal counterpart on your side who can make decisions.
Risky technical decisions, no senior leaderFractional CTOArchitecture, hiring, vendor and risk decisions. Hands-on engineering is a different engagement and we will tell you if you need that instead.
Something is on fire in productionNone of the aboveIncident response is not a product engagement. Tell us what broke and we will say whether we are the right people before you sign anything.

This is guidance, not a quote. If your situation sits between two rows, the scoping conversation is where that gets settled.

Market context

Third-party figures about how the agency market prices these models. Market data, not WebNuvexa claims.

78% Of agencies now work on retainers, up from 64% in 2023. SPI Research, 2026. Retainers are normal now, so a retainer offer tells you less than it used to.
37.2% Average margin on fixed-price agency projects. SPI Research, 2026. A fixed quote carries studio margin and risk, which is why the scope has to be honest.
$3k-15k Monthly band commonly seen for virtual security leadership (vCISO) engagements, 2026 market data. Shown as a reference point only. It is not a WebNuvexa price.
+19% Month-over-month growth in AI-referred traffic. Kachi, 2026. Relevant to how much a growth retainer is worth now. Market data, not our result.
initiate_contact

Pick a starting shape

Tell us the stage you are at and what is on fire. We will tell you which model fits - including "none of these yet".