You built MotionAds into a 50-brand advertising platform by running every sale yourselves. Now you're handing the sales floor to a new team. They don't have seven years of your pattern-matching yet. This proposal is the system that gives it to them.
MotionAds is at the point where the founders can't keep being the sales team. You're hiring reps to take over. The gap between "Jonathan closes this deal" and "a new rep closes this deal" is everything that lives in your heads. Not just the CRM. The judgement.
The scale wall isn't demand. It's judgement.
A new rep joining MotionAds can learn the tools in a week. Learning to think like you takes years. Unless we build a system that does the thinking alongside them from day one.
Eight modules, built modularly, delivered in three phases. Each one automates a step of the sale, from "how do we find this brand" through "here's the signed contract" to "this is the case study we publish about it." Together they compress days of founder work into hours and let the sales team run without you in the room.
Modular by design. You can approve, defer, or stage any of them. They reinforce each other. A won proposal feeds the next one's case-study library. But none are load-bearing.
Map your sales stages end-to-end in a working session with you two. Configure the CRM to match. Team playbook so a new rep knows where each deal sits, what's required, and what "Jonathan would do next." Revenue-attribution dashboard live from week one, so every module's impact is visible as it lands.
Every form submission on motionads.co.za gets classified (brand vs driver vs noise), enriched with contact details, scored against your ideal customer profile, and routed. A Tier-1 brand enquiry hits the rep's Slack before they refresh their inbox.
Watch SA ad activity across billboard operators, Meta and Google ad libraries, sponsorship rosters, Loeries and AdFocus shortlists. Surface brands visibly investing in marketing. AI drafts personalised outreach using each prospect's actual current campaigns as the hook. Reps approve and send.
Thirty minutes before each meeting, a one-page brief lands in Slack and email. The prospect's recent campaigns. Competitor activity. Relevant MotionAds case studies matched by industry. Talking points. Reps read it en route. Every call lands better than the last.
The sales call transcript, the pre-call brief, your deal-structuring IP, and your cost calculator feed into a Claude-powered proposal engine. The output: an editable, shareable, branded proposal tuned to the specific brand. The right case studies. The right package. The right narrative. This is the module that lets a first-month rep ship founder-quality work.
Stalled deals trigger structured nudges at one, two, and three months. Each one personalised using what the prospect said on the call. Hot replies pull the deal out of automation and alert the rep instantly. Dead leads auto-archive to a six-month nurture. The manager sees deal health on every pipeline record.
When a campaign wraps, the monthly report feeds directly into a case study draft. Website long-form plus newsletter short-form. You review and approve in one click. Published to motionads.co.za and the newsletter the same morning. The website stays fresh, the library compounds, and M3 outbound has a new hook every month.
Today drivers get bounced from motionads.co.za to a separate portal with no WhatsApp path. We replace it with a conversational WhatsApp flow in English, isiZulu, Afrikaans and isiXhosa. It handles the whole application from greeting to doc upload to qualification. Plus a clean mobile-first web fallback. More drivers onboarded means more inventory to sell.
Tools change every six months. The sales process you define with us should outlast them. We build in three layers. Each evolves at its own speed, so the system you end up with in three years is owned by MotionAds, not rented from vendors.
Defined once, refined forever. The stages, the data captured, the rules for when a deal moves forward. This is what you're actually buying.
Classifiers, proposal engines, follow-up orchestrators, case study pipelines. Extended as the process matures. Never rewritten from scratch.
The SaaS that gets us to Phase 0 fast. Every subscription is a candidate for future in-house replacement, once it gets too expensive or too rigid.
Specific tool choices named in this proposal are our current leans, based on deep 2026 research across the market. Each gets revalidated with fresh research at the start of the relevant module's build phase. The SaaS landscape shifts too fast to commit in a proposal. What we commit to here is the thinking, the structure, and the judgement.
Three phases, overlapping where they can. Phase 0 delivers felt wins in the first month. Every rep gets time back, no leads slip. Each phase validates the system before we expand it.
Sales process mapped and in the CRM. Inbound leads auto-qualified and routed. Follow-up automation live. Call-recording rolled out to the sales team. Revenue attribution dashboard running from day one so you see the impact as it lands.
Every call gets a 30-minute-before brief. Case studies start publishing themselves to motionads.co.za and the newsletter. Marketing compounding begins. Fresh case studies feed M3 outbound credibility and M5 proposals.
Outbound pipeline goes live. SA brands surfaced by ad-spend signal, AI-drafted personalisation, deliverability-safe sending. The bespoke proposal builder ships. WhatsApp driver sign-up replaces the portal. These three run in parallel because they're independent.
These are the two choices in the proposal with the widest range of defensible answers. Our leans are based on current research. Each one gets revalidated with fresh research at the start of the relevant module's build. The SaaS market shifts too fast to commit now.
You're on Pipedrive today. Pipedrive works. The SA market default for small sales teams selling into enterprise brands is HubSpot, which likely wins long-term. Either platform builds the same eight modules on top without compromise.
Four paths. Custom-built slides powered by Claude. Claude plus Canva (using your Brand Kit). Qwilr's interactive web-proposal format. Or Gamma's AI-slide tool. The AI logic is identical across all four. Only the rendering differs, which means you can swap later without a rewrite.
We don't sell seats in our own software. We design the sales process with you, build the custom services on top, and document it so you could run it without us in 18 months. Whether you do or not is your call.
Claude, GPT-class models, and smaller open-source models. Swapped per task based on cost and quality. Provider-agnostic architecture means you're never locked to one vendor's pricing.
Every module is independently swappable. If something doesn't work, rip it out. Nothing else breaks. No big-bang rewrites, ever.
Code you own. Documentation you can read. A runbook that a non-technical operator can follow. We're a partner, not permanent infrastructure.
Seven years of bike-trip data across your active fleet. Burger King has already asked to use some of it. This isn't speculative. It's a side of the business you know has potential. The job of this section is to show you how big that potential could actually get, and exactly how we'd build it with close to zero incremental risk on your side.
Every delivery bike you've branded has been a moving sensor across Johannesburg, Cape Town, Durban, Pretoria, Gqeberha. Where foot traffic actually flows by hour. Which suburbs are densifying. Which routes over-index for QSR versus grocery. Seven years of it, at route-level granularity, across the five biggest metros.
Nielsen runs household panels with no route-level data. JCDecaux, Primedia, and Tractor Outdoor sell static inventory and don't know who passes their boards. Municipal traffic departments track cars, not delivery traffic, and not at your granularity or frequency. Google and Apple mobility data exists but is aggregated, not SA-specific, and not available for commercial licensing. The data you already have is genuinely rare.
Bespoke route-level impression reports for the brands already on your bikes. Real eyeballs, actual dwell time, demographic overlay. Example: Burger King asking which of their 50 Joburg routes drove the most dwell outside universities during Q4. Doubles CPM justification, locks in renewals, pre-empts procurement pushback. Highest leverage, because it protects the base you already have.
Property developers asking whether foot traffic is growing in Rosebank year-on-year. Retail chains asking which SA suburbs over-index for QSR but are underserved. Insurance actuaries sizing real delivery-driver risk exposure by route. Fintech teams segmenting informal cash-flow patterns. Enterprise studies with clear scope and clear price.
Annual retainers for strategic buyers who want ongoing access. Unlimited questions answered, four custom reports per year, quarterly strategy session, first look at new datasets. Five partnerships at around R1m each is R5m in recurring revenue with high retention. This is how Nielsen, Kantar, and McKinsey monetise proprietary data.
There are two commercial shapes to consider for a data business like this: bespoke studies per client, or a monthly self-serve subscription. The right call at this stage is clearly bespoke. Seven reasons:
Subscription becomes right later, once 15 to 20 bespoke studies reveal which use cases repeat. Three insurers asking the same underwriting question, four QSRs asking the same trade-area question. That's when the subscription product writes itself. The earlier engagements literally tell you what to build.
This isn't a second build. The systems we put in place for the sales engine in M1 to M8 carry over almost entirely to the data side. Five direct reuses:
Net effect: the data side doesn't require a second tech stack. Roughly 70% of the work is already shared with what you're paying for in the core engagement. That's what makes this a side revenue line, not a second company.
One salesperson owns the data-side pipeline. Reports get delivered by whoever is the right fit for the study at hand: an internal hire if you bring one on, a specialist consultancy for niche methodologies, us where it fits, or some combination. The point isn't locking in a supplier. The point is being able to stand up a real deliverable for whichever study converts, without rebuilding the back office each time.
This keeps the data side as a lean revenue line rather than a fixed-cost product team. You scale what converts. You don't build overhead ahead of demand.
This sits on its own track, separate from the eight modules in this proposal. We're willing to put our fees on the line to help build it, because we believe in the asset. The shape of that commercial conversation is something we'd explore together once the core engagement is underway and you're ready to look at it seriously.
Before either side commits: a one-day data audit, a POPIA read on third-party licensing and onward resale, confirmation of telematics-vendor contract terms, and interviews with five candidate customers across three brand categories and two non-advertisers.
Phase 0 has its own scope and its own fee, agreed upfront. Phase 1 and Phase 2 are scoped and priced once Phase 0 has shipped and the impact is visible in the CRM. You see the wins before committing to the next chunk of work. No big-ticket commitment upfront, no money tied up in assumptions.
A thirty-minute working session. We walk your current sales process, confirm the Phase 0 modules, lock the CRM direction, and agree the start date. The first signed SOW covers Phase 0 only. You see wins before committing to Phase 1 and 2.