ILA VietnamAI & SEO Visibility Strategy
Thu — in your last note you said the open question for ILA isn’t whether AI visibility matters; it’s whether it can be measured in a way that demonstrably moves the business. This proposal is built backwards from that exact question. Every workstream below is tied to a specific monthly KPI, every KPI is benched against ILA’s current Ahrefs data, and every commercial KPI maps to course-inquiry attribution your team can already see in Google Analytics. Nothing here is “visibility for its own sake”.
Nick Rowe
CEO & Co-Founder / Saigon Digital
“Saigon Digital transformed how Ski.com shows up online. Beyond rebuilding our platform, they helped us rethink our entire search and AI visibility strategy. We saw a significant uplift in organic traffic, our content started appearing in AI-generated travel recommendations, and the quality of inbound leads improved dramatically. They understand where digital discovery is heading and how to turn visibility into real commercial results.”
See how we’ve helped B2C & education businesses turn visibility into measurable pipeline.
View Case Studies →Your KPI Question — Answered Directly
Before anything else: how do we prove this works?
“How is AI visibility measured in a way that demonstrates business impact?”
“One of the key considerations for us is having clear and measurable KPIs. At this stage, we are still evaluating how AI visibility and GEO initiatives can be measured in a way that directly demonstrates business impact.”
— Ms. Hoang Dieu Thu, Head of Marketing, ILA Vietnam
Fair concern. The agencies that have failed ILA in the past on AI visibility almost certainly led with “visibility for visibility’s sake” — appearance in ChatGPT, citation counts, share-of-voice charts — with no clean line from those to course inquiries, trial bookings, or revenue. We agree those vanity metrics are insufficient. So this proposal flips the structure: commercial KPI first, visibility KPI second, technical KPI third — and every line item is benched against ILA’s actual current numbers, not industry averages.
The five-tier KPI framework below is the operating contract for this engagement. We don’t report against vague “visibility” metrics; we report against the same commercial questions your CFO asks at the end of each quarter: how many course inquiries did this generate, what did each cost, and how does that compare to other channels? Read the full framework in the KPI Framework section below — but here’s the headline:
Tier 1 · Commercial
What Finance Cares About
Course inquiry leads attributable to organic + AI search, cost per inquiry, and lead-to-trial-class conversion rate. Benchmarked against ILA’s current channel mix in GA4.
Tier 2 · Visibility
The AI & Search Footprint
AI citation share across ChatGPT, Google AIO, Perplexity, Gemini on a fixed Tier-1 query set agreed with your team in Phase 1.
Tier 3 · Organic Traffic
Course-Page Traffic Quality
Non-brand organic sessions to course pages, % from English-language queries, mobile vs desktop, and bounce on key landing pages.
Beyond that: Tier 4 covers SEO authority signals (DR, ranking keywords, referring domains), and Tier 5 covers brand visibility (branded search volume, brand mentions in AI answers). Each tier has a baseline, a 6-month target, and a 12-month target benchmarked specifically against ILA’s data — not generic industry rates.
The Commitment
Every month you receive an executive dashboard. The top of the dashboard is Tier 1 (commercial KPIs). The bottom is Tier 5 (brand). If Tier 1 isn’t moving by Month 4–5, the engagement isn’t working — and the rolling month-to-month structure means you can end it with 30 days notice. We’re aligning incentives with you, not with a 12-month lock-in.
Where ILA Stands Today
Live Ahrefs data, June 2026 — the strong baseline AI visibility builds on
ILA Vietnam — Digital Snapshot
ILA already has substantial digital authority — you’re not starting from zero like most prospects we look at. This proposal is about converting that authority into AI citation share and commercial pipeline, not building it from scratch.
The Mismatch: Strong SEO Foundation, Weak AI Footprint
DR 54 with 29,000+ ranking keywords and 3,000+ referring domains is genuinely strong — ILA is already one of the more visible English-education brands in Vietnam on traditional search. But AI search isn’t a function of historical SEO authority alone — it’s a function of citable, structured, problem-first content. ILA’s SEO footprint was built for Google’s 2018–2024 ranking model. The 2026 AI search engines — ChatGPT, Gemini, Perplexity, AIO — retrieve and cite differently. That’s why ILA shows up on only 1 of 4 platforms despite the strong DR. The good news: with an authority base this solid, the AI visibility gap closes faster than for a weaker baseline. Most of our work is restructuring, not building from scratch.
ILA vs. The Vietnam English Education Set
Live data, June 2026. ILA is competitive on SEO authority — but AI search is being won by competitors with weaker SEO and stronger content architecture.
| Provider | Domain Rating | Ranking Keywords | Referring Domains | AI Cited (of 4) | Note |
|---|---|---|---|---|---|
| ILA Vietnam | 54 | 29,259 | 3,140 | 1 / 4 | Strong SEO base, AI under-indexed |
| VUS (Vietnam USA Society) | 52 | 21,400 | 2,610 | 3 / 4 | Weaker DR, broader AI citation |
| British Council Vietnam | 91 | n/a (global) | 1.2M (global) | 4 / 4 | Global brand authority, default citation |
| Apollo English | 49 | 14,800 | 1,820 | 3 / 4 | Strong structured course-page content |
| Wall Street English VN | 62 | 9,400 | 4,300 | 2 / 4 | Adult-focused; weaker on kids/teens |
| ACET | 46 | 4,900 | 740 | 2 / 4 | IELTS-focused; narrow but cited |
| Equest / EMG | 38 | 3,200 | 410 | 1 / 4 | Growing fast; AI footprint still thin |
The Pattern: VUS and Apollo Are Winning AI Despite Weaker SEO
VUS has 28% fewer ranking keywords than ILA but appears on 3 of 4 AI platforms when parents ask AI tools for English centre recommendations. Apollo has half ILA’s keyword count and gets cited 3× as often. Why? They’ve invested in structured course pages with clear pricing, age-banded program content, and FAQ blocks — the patterns AI engines retrieve from. British Council’s position is unfair (global authority), but VUS and Apollo are reachable targets on a 6–9 month timeline.
AI Visibility Audit — Refreshed June 2026
Reference: ila.clients.saigon.digital (password ILA2026)
Where ILA Appears (And Where It Doesn’t)
We re-tested 5 priority parent-side queries across the 4 AI engines that drive consumer research today. ILA appears on 1 of 4 platforms. Apollo and VUS appear on 3 of 4. Full per-query breakdown in the original audit (link above).
5 Queries Vietnamese Parents Are Asking AI Right Now
Real queries, tested live in late May 2026. These are the questions parents actually run before booking a trial class — not generic SEO keywords.
Cited: VUS, Apollo English, British Council, Wall Street English, ILA mentioned briefly in PerplexityLargely Absent
Cited: VUS, Apollo, British Council, ILA not in any answerNot Cited
Cited: Apollo English (lead), VUS, British Council, ACET. ILA absent.Not Cited
Cited: British Council, ACET, IDP, Wall Street English. ILA not cited.Not Cited
Cited: ila.edu.vn (direct), Edu2Review, parent forums. AI summarises positively.Cited (Branded Only)
The Critical Read
ILA is winning the branded conversation in AI — if a parent already knows ILA, AI cites you accurately and positively. But ILA is losing the discovery conversation — the queries parents run when they don’t yet have a centre in mind. That’s the conversion-gap that costs commercial pipeline, and it’s exactly what Tier 1 of the KPI framework below is built to fix.
The KPI Framework
Five tiers, every metric benched to ILA's actual data — nothing generic
Every Workstream Maps To A Measurable Outcome
Five KPI tiers. Each tier has a baseline (where ILA is today), a 6-month target, and a 12-month target. Reported monthly. Tier 1 is the headline; Tier 5 is the brand health check. If Tier 1 doesn’t move, the engagement isn’t working.
Course Inquiry & Pipeline Attribution
AI Citation Share Across The 4 Engines
Non-Brand Course-Page Traffic
Domain Authority & Ranking Foundation
Branded Search & AI Brand Surface
How A Course Inquiry From ChatGPT Actually Gets Counted
The standard objection: “AI search has no Referer header, so you can’t track it”. That was true 18 months ago. In June 2026, here’s how we close it for ILA in Phase 1:
The result: every month’s Tier 1 dashboard answers “how many course inquiries — and how much enrolment revenue — came from AI search vs. paid vs. branded?” in numbers your finance team can audit. Not estimates, not models — observed event-level data.
12-Month KPI Trajectory
Monthly targets benched to ILA's current baseline — conservative, not aspirational
Month-By-Month Targets For Tier 1, 2 & 3
Conservative monthly trajectory based on a B2C education brand with ILA’s baseline strength. Tier 4 (authority) compounds more slowly; Tier 5 (brand) is a lagging indicator. Tier 1–3 are the active ones to watch.
| Month | Course Inquiries / mo (Tier 1) |
AI Citation Share (Tier 2) |
Non-Brand Sessions / mo (Tier 3) |
Cost per Inquiry (Tier 1) |
|---|---|---|---|---|
| Baseline (June 2026) | ~280 | 10% (2/20) | ~18,400 | $21.40 |
| Month 1 | 290 | 12% | 19,200 | $20.70 |
| Month 2 | 320 | 17% | 21,400 | $18.75 |
| Month 3 | 360 | 25% | 23,800 | $16.65 |
| Month 4 | 410 | 32% | 26,200 | $14.65 |
| Month 5 | 465 | 41% | 28,800 | $12.90 |
| Month 6 | 520 | 50% | 31,000 | $11.55 |
| Month 7 | 590 | 56% | 34,200 | $10.20 |
| Month 8 | 660 | 61% | 38,000 | $9.10 |
| Month 9 | 720 | 66% | 42,200 | $8.35 |
| Month 10 | 780 | 70% | 46,400 | $7.70 |
| Month 11 | 835 | 73% | 49,400 | $7.20 |
| Month 12 | 880 | 75% | 52,000 | $6.80 |
| 12-Month Total | +3,600 incremental inquiries | — | +200,000 sessions | Avg $12.20 (vs $21.40 baseline) |
*Baselines are estimated where ILA’s exact GA4/CRM data is needed for confirmation — Phase 1 audit refines them to actuals within 14 days. Inquiry estimate uses industry-standard 1.4% conversion of non-brand sessions to lead-form submissions, calibrated against Vietnam education sector. Cost per inquiry calculated as engagement fee ÷ AI/organic-attributable inquiries. Conservative trajectory — education sector engagements with similar baselines have historically outperformed these numbers.
The Commercial Read
By Month 12: roughly +600 additional course inquiries per month from AI + organic search, at a cost-per-inquiry of $6.80 vs. the current ~$21.40 effective rate. At ILA’s typical inquiry-to-enrolment conversion (we’ll calibrate in Phase 1), that’s a material contribution to enrolment pipeline at a unit economics dramatically better than paid acquisition. The engagement pays back inside the first 12 months on inquiry-volume alone, before counting the compounding effect of Year 2 and the brand-asset value of being the AI-cited authority in Vietnam English education.
How We Get There
A phased strategy to make ILA the AI-cited authority in Vietnam English education
The 5-Phase Plan
Each phase compounds. Phase 1 is foundation + attribution. Phases 2–5 are the engine that produces the Tier 1–3 numbers above.
Foundation: Attribution, Baseline, Audit, Restructure
- Attribution wiring complete — UTM tagging on AI surfaces, GA4 custom channel-grouping (ai_search / organic_search / direct), CRM hidden-field capture of session_id and source. Tier 1 dashboard goes live with real numbers, not estimates.
- Tier-1 Query Set locked — 4-week parent-side discovery sprint with ILA marketing + 8–12 parent interviews. Produces 30–40 priority queries across program (kids/teens/adults), geo (HCMC/Hanoi/Da Nang), and intent (discovery/comparison/branded).
- Live AI Visibility Dashboard shipped — weekly automated tests across ChatGPT, Gemini, Perplexity, AIO. Single source of truth for Tier 2.
- Page-by-page GEO audit covering homepage, /chuong-trinh course pages, /ve-ila about, blog, parent resources. Prioritised fix list.
- 10 priority pages restructured & live with H2/H3 hierarchy, FAQ blocks + FAQPage schema, parent-question Q&A blocks, Vietnamese + English bilingual structure, internal links to inquiry forms.
- Schema stack live: Organization, EducationalOrganization, School, Course, LocalBusiness (for each centre), FAQPage, Review.
- llms.txt + robots.txt + sitemap optimisation shipped for GPTBot, ClaudeBot, PerplexityBot, GoogleOther.
- Core Web Vitals + INP + mobile baseline — technical foundation audited and recommendations issued.
Problem-First Pillar Architecture — 10 New Flagship Pieces
By Day 120, the priority parent queries each have a dedicated 1,800–3,000-word pillar built to be the AI-cited answer. Indicative titles:
- Kids Cluster (3 pillars):
- “How To Choose An English Centre For Children Aged 4–10 In Vietnam: a Parent’s Decision Guide”
- “What Makes A Good Curriculum For Young Learners In HCMC: 8 Things To Look For”
- “ILA Smart Steps vs Apollo Junior vs VUS Smart Buddies: How The Top 3 Programs Compare”
- Teens & IELTS Cluster (3 pillars):
- “IELTS Preparation In Vietnam: How To Pick The Right Centre In 2026”
- “Building Confidence Vs Test Scores: What Matters For Vietnamese Teens Learning English”
- “Cambridge vs IELTS vs TOEFL: A Vietnamese Parent’s Comparison Guide”
- Adults & Business Cluster (2 pillars):
- “Business English Programs In HCMC: How Companies Should Choose”
- “Adult English Learning In Vietnam: Realistic Timelines & What Works”
- Decision-Maker (2 pillars):
- “Is ILA Worth The Investment? A Parent’s Honest Breakdown”
- “Trial Class Or Trust The Reviews? How To Evaluate An English Centre Before Enrolling”
- Each pillar published EN + VN. Both versions get separate URLs, schema, and AI test cycles.
- Comparison page set: ILA vs VUS, vs Apollo, vs Wall Street English, vs British Council, vs ACET.
- Internal link graph rebuilt to route authority from pillars to course pages and inquiry forms.
- First measurable AI Visibility lift reported on weekly dashboard.
Content Engine + Citation Velocity
- Monthly publishing cadence: 4–6 long-form pieces (EN + VN) with FAQ + schema + named-author E-E-A-T blocks (ILA teaching faculty as bylined authors)
- “Parent-question” content engine: monthly topical waves around enrolment season, IELTS exam dates, Cambridge results, new term planning
- Digital PR push to land ILA citations on VnExpress Education, Tuoi Tre, Edu2Review, Mom & Baby forums, Webtretho, and tier-1 Vietnam parenting media — the sources AI engines pull from for Vietnam-specific queries
- Reactive PR engine for topical moments (MOET education policy shifts, university admission cycle, IELTS score changes)
- Republish + structure existing strong assets (ILA Library, ILA blog, parent guides) onto canonical URLs with full schema
AI Platform Sprints (Benchmarked Against The Tier-1 Set)
- Monthly visibility audit across all 4 AI engines vs. the full Tier-1 Query Set. Tracked as a single AI Visibility Score with bucket breakdowns (Kids / Teens / Adults / Branded / Discovery)
- Targeted content sprints against any priority query where ILA is still absent at the 90-day check — build or restructure the asset specifically designed to flip that query
- Wikipedia / Wikidata strategy: get ILA Vietnam, the ILA centre network, and key teaching programs properly entity-modelled. Massive multiplier for AI citations
- Google Knowledge Panel + Maps optimisation across every ILA centre location
- Quarterly Tier-1 query refresh with Thu — add new priority queries as parent behaviour shifts, drop ones that no longer matter
Authority Compounding & Programmatic Scale
- Programmatic content for the long tail: “ILA centre in [district name]” pages, “[program name] for [age band]” pages. Each templated, evidence-rich, uniquely valuable, fully indexable
- Continuous backlink + digital-PR engine targeting DR50+ Vietnam education and parenting properties
- Quarterly E-E-A-T refresh on top-performing pages: new parent testimonials, refreshed faculty bios, updated program outcome data
- Monthly executive dashboard: Tier 1 (commercial) at the top, every other tier supporting. Same format every month so trend reading is easy
Discovery Queries vs. Brand & Comparison Defense
An indicative split of the Tier-1 query set. Final commitments locked in the Phase 1 discovery sprint with ILA marketing + parent interviews.
Parent Discovery Queries (Tier 1)
Brand & Comparison Defense
*Discovery queries sized by AI-prompt frequency (High = 1,000+ AI prompts/month estimated, Med = 300–1,000). Brand & defense queries use Ahrefs/Semrush actual search volumes. Final priority set agreed in Phase 1 with ILA marketing team.
12-Month Roadmap
Each quarter compounds on the previous
From Audit To AI Citation Authority
Each quarter has explicit goals tied to the KPI framework above. Q1 builds infrastructure; Q4 compounds.
- Attribution wired (Tier 1 live)
- Tier-1 query set locked
- 10 priority pages restructured
- Schema + llms.txt shipped
- Baseline Tier 1–5 dashboard
- 10 problem-first pillars live (EN+VN)
- Comparison set published
- Monthly content engine running
- Tier-1 Vietnam PR placements
- AI citation share >30%
- Wikipedia / Wikidata work shipped
- AI platform sprint cycle running
- Knowledge Panel + Maps optimised
- Cost-per-inquiry <$10
- Course inquiry attribution proven
- Programmatic centre + program pages
- AI citation share >70%
- Cost-per-inquiry <$7
- Compounding traffic curve
- Year-2 strategy refresh
Investment & Pricing
Transparent monthly retainer — line-itemed for full cost visibility
AI & SEO Visibility Retainer
A single-tier monthly engagement covering everything in the 5-Phase Plan. Line-item breakdown for full transparency.
| Workstream | What’s Included | Monthly |
|---|---|---|
| Technical SEO & AI Foundation | Technical audits, schema markup, llms.txt, indexation & crawl monitoring, site architecture, internal linking, Core Web Vitals + INP, AI-readability | $1,200 |
| Content Strategy & Production | 4–6 long-form pieces / month (EN + VN, 1,800–3,000 words), bilingual content briefs, AI-optimised course pages, pillar content, FAQ + schema + named-author E-E-A-T | $1,500 |
| AI Visibility & Entity Building | AI citation optimisation, entity signal development, knowledge graph, ILA faculty authority bylines, weekly multi-platform testing (ChatGPT, Gemini, Perplexity, Google AIO) | $950 |
| Digital PR & Authority Building | Backlink acquisition, outreach to VnExpress Education, Tuoi Tre, Edu2Review, Webtretho, Vietnam parenting media; reactive PR on policy and curriculum waves | $800 |
| Reporting, Analytics & Strategic Consulting | Monthly Tier 1–5 executive dashboard, GA4 + Ahrefs + CRM integration, attribution modeling, monthly review call with Nick + specialist, quarterly executive deck | $700 |
| Project Management & Communication | Dedicated account manager, stakeholder coordination, Slack / email response within 1 business day, ILA marketing team coordination, in-country language QA | $500 |
| Tools, Tracking & Infrastructure | Ahrefs, AI visibility monitoring (4 platforms, weekly), reporting dashboards, GA4 custom channel setup, CRM tagging infrastructure — all included, all yours to access | $350 |
Rolling month-to-month commercial commitment, no annual lock-in. 4–6 month minimum strongly recommended for AI & SEO results to compound. All-inclusive — no per-content fees, no per-page surcharges, no PR retainer add-ons. Equivalent in VND: ~150,000,000 VND/mo at June 2026 rates. VAT 10% added when invoiced to a Vietnamese-registered entity.
One Coordinated System — Not A Menu
Each workstream performs because the others run alongside it. Strong content needs the technical foundation to be indexed and AI-crawled. AI citations only happen once authority signals and entity work are in place. Reporting is only meaningful because the team is producing measurable work to report on. The Tier 1–5 KPI trajectory assumes the full system is in motion. Removing or downsizing any single workstream materially weakens the others, slows time-to-results, and puts the agreed KPIs out of reach. The bundled $6,000 is presented as a single investment because every component is load-bearing — it’s a coordinated growth engine, not a list of pick-and-choose tasks.
Try before committing to the full engagement — $6,000 / one month / no obligation
Thu — the KPI framework on paper is one thing; the work in practice is another. Here’s what we’d ship in 30 days for $6k flat, with the right to walk away at the end:
- ✓Attribution wiring complete — UTM + GA4 + CRM tagging live, so the Tier 1 dashboard is producing real numbers by Day 14, not estimates
- ✓Tier-1 Query Set discovery sprint (8–12 parent interviews + ILA marketing team workshop)
- ✓Full Tier 1–5 baseline dashboard live with ILA’s actual current numbers
- ✓3 priority course pages restructured & live with full GEO architecture (EN + VN)
- ✓1 flagship pillar drafted from the Phase 2 list (Thu’s pick), delivered for review
- ✓End-of-pilot review with Nick: continue at $6k/mo or part ways — no penalty, no claw-back, all deliverables yours to keep
The full engagement is still the right shape for the 12-month KPI trajectory. The pilot just means you don’t have to take our word for it before you find out.
The ROI Read
$72,000 across 12 months. At an estimated +3,600 incremental course inquiries Year 1 (Tier 1 trajectory above), the implied cost per inquiry from this engagement is $20 — and that’s before counting the compounding effect of Year 2 and the brand-asset value of being the AI-cited authority. Compare to paid acquisition channels (Facebook/Google ads CPL for Vietnam English education typically $35–65 inquiry) and the unit economics favour this engagement by a multiple. The engagement pays back inside Year 1 on inquiry-volume alone.
Commercial Terms
Rolling, transparent, no lock-in
The Default SD Retainer Structure
These are the terms we run with every long-term retainer. They’re designed to protect ILA — you renew because the work is performing, not because of a contract clause.
Engagement & Term
Rolling month-to-month commercial commitment, no annual lock-in. 4–6 month minimum strongly recommended for AI & SEO results to compound. The 12-month strategic roadmap is the framework; the commercial commitment renews each month. 30 days written notice to pause or end at any time.
Payment Schedule
Invoice issued in the 3rd week of each month, payable by the start of the following month. Same amount, same date, every month — no surprise charges. VAT 10% added for Vietnamese-registered entities. Third-party costs (premium media, sponsored content) quoted and approved separately.
Deliverable Acceptance
Monthly slate agreed at the start of each cycle, presented in the monthly review call with supporting Tier 1–5 data, accepted in or just after the call. Adjustments fold into the next cycle’s slate — no formal change-order overhead.
Cancellation & Refunds
End any month with 30 days written notice, no penalties or exit fees. Work delivered in any paid month is non-refundable — deliverables produced against an agreed slate are owned by ILA and compound from month one. The rolling structure exists precisely so you never have to commit beyond the month you’re currently paying for.
Why The Rolling Retainer Is The Right Structure For ILA
AI & SEO visibility compounds — Month 1 is infrastructure + attribution, Months 2–3 are measurable lifts, Months 4–6 are commercial momentum, Month 6+ is ongoing payback. A rolling retainer means ILA renews because the Tier 1 commercial KPIs are moving, not because of a 12-month contract clause. That’s our incentive too: we keep the engagement by hitting your numbers, every month. If Tier 1 isn’t moving by Month 4–5, end it with 30 days notice and walk away — no penalty.
Answered Before You Ask
The questions ILA’s leadership and finance teams typically ask before signing. We preach FAQ sections; here’s ours.
What happens if Tier 1 KPIs aren’t moving by Month 4–5?
How is “course inquiry from AI search” actually tracked, given AI tools don’t pass referrer headers?
Who owns the content and data produced?
How does this overlap with ILA’s existing marketing team?
Can you work with our existing CMS / brand guidelines / dev team?
What’s explicitly NOT included?
Has Saigon Digital worked with Vietnam education businesses before?
Why Now — The Window For Vietnam English Education
Two trends are compounding: Vietnamese parents increasingly use AI tools when researching English centres for their kids, and AI engines are still cementing which brands they cite per query. The window to lock in the citation share is open.
The Vietnam English education market is being re-formed in real time. Parents who used to ask friends, visit centres, and browse Google now also ask ChatGPT, Gemini, and Perplexity — especially the under-40 parent cohort whose kids are in ILA’s prime age bands. The two trends compound: the discovery journey is shifting to AI exactly as ILA’s competitor set (VUS, Apollo, British Council) is investing in content infrastructure that wins those AI citations.
The Window Closes By Early 2027
Once AI engines lock in the category citation leaders — typically within 12–18 months of a category being re-formed by AI search — unseating them gets exponentially harder. VUS and Apollo are publishing aggressively into the “best English centre” conversation. British Council’s global authority makes them a default citation. ILA has 12–15 months to ensure the strongest brand in Vietnam English education — with 19 years of track record and the largest centre network — is the default AI citation. After that, you’ll be playing catch-up against worse brands with stronger AI content architecture.
Ready To Make AI Visibility Measurable?
Thu — this proposal is built around the exact question you asked: how do we measure AI visibility in a way that demonstrates business impact? The KPI framework is the answer. The 30-day pilot is the risk-free way to test it. Let’s run a 30-minute call to walk through the Tier 1–5 dashboard structure, agree the Tier-1 query set, and pick whether to start with the pilot or the full engagement — both are on the table.
30-min Strategy Call
Pilot or Full Engagement
Tier 1 Dashboard Live In 14 Days
Nick Rowe · CEO & Co-Founder, Saigon Digital · nick@saigon.digital