First 60 Days

Proof-first execution

Execution-focused onboarding deck

Rapid Impact Plan
for IPOGenie.ai

Objective: turn IPOGenie into a trusted, measurable conversion engine - by making it easy to verify, easy to understand, and easy to share.

Verify to Understand to Share Trust is the constraint Weekly experiments

References: ipogenie.ai • t.me/IPO_GENIE • SolidProof TrustNet

1 / 10

Today to What’s real

Where the project stands today

Social, community & growth snapshot

What’s strong

Clear positioning: “institutional-grade, retail accessible” + discipline over hype.
Telegram base exists: enough members to run structured programming and onboarding.
Event content shows potential: IG engagement spikes on event-adjacent reels.

What’s weak / unstable

Trust surface is fragmented: impersonation risk is typical in presale funnels.
Support credibility risk: even one unresolved complaint can suppress conversion.
Measurement gaps: without UTMs + GA4 events, growth becomes opinion-based.

Directional baseline (public)

Telegram	~1,683 members
Instagram	spiky (event-driven)
Facebook	~52 likes
X	directional (needs first-party)

Immediate priority: verify + instrument

2 / 10

North Star

Operating thesis

“Credibility is the product” to growth follows trust

North Star Metric

Verified conversions (tracked): landing sessions to buy-click to purchase.

Everything else (followers, members) supports this.

Brand lane to own

Show the work.

AI scoring explained, audit scope clear, community validation visible.

Execution rule

One experiment per week that changes a measurable KPI within 7 days.

No random posting. No vanity activity.

What this looks like in the real world

Every channel points to official links and the same “Verification Hub”.
Telegram runs like a newsroom + support desk (onboarding, pinned proof pack, AMAs).
Content is built around Proof, Method, Access - not hype cycles.

3 / 10

Days 1–30

First 30 days

Foundation + cadence (fast, practical)

Days 1–10: Trust + Measurement Sprint

Verification Hub (site page): official links, official handles, audit links, anti-scam policy.
Pinned everywhere: Telegram, X, IG highlights, website footer.
Audit clarity: “what’s audited” + “what’s not” + next verification steps.
Support SLA: response-time targets + escalation path + weekly “resolved issues” note.
Tracking MVP: UTMs on all links + GA4 events (signup, buy-click) + weekly KPI sheet.

Days 11–30: Content System + Community Ops

Telegram onboarding flow: start-here, FAQs, rules, and “no DM first” safety rule.
Daily Telegram Intel Brief (same time) + 2 weekly AMAs.
Content templates shipped: 3 pillars x 3 formats (short post, carousel, thread).
Weekly Proof Pack: transparent recap linking to official updates + verified stats.
First conversion tests: landing copy, CTA, Telegram join deep link, email welcome sequence.

4 / 10

Days 31–60

Scale loops: referrals, creators, events, optimization

Distribution

Creator pipeline (5–10 partners)
Co-posting + “show the work” collabs
Partner shoutouts with tracked UTMs

Objective: reach with credibility

Community loops

Curator cohort (early power users)
Weekly “Intel + Proof” rhythm
Referral activation (tracked)

Objective: higher activation rate

Conversion optimization

Landing page A/B weekly
Email sequence improvements
Telegram onboarding experiments

Objective: higher buy-click rate

Reporting cadence (simple)

Weekly: KPI dashboard + what changed + what we’re testing next.
Monthly: Trust report (audit status, security reminders, support SLA performance).

5 / 10

Growth stance

Paid and lifecycle

How I scale without wasting budget

Paid and lifecycle stance (simple and measurable)

Paid media (when and why)

Days 1 to 14: defer prospecting. Fix trust, fix tracking, fix onboarding.
Days 15 to 30: turn on light retargeting only. Proof-led creative. Track buy-click and signup.
Days 31 to 60: scale what converts. Expand to lookalikes only after stable conversion events.

Paid is used to amplify proof, not to compensate for trust gaps.

Lifecycle (retention and reactivation)

Email welcome flow: verification, how it works, safety rules, then a clear next action.
Weekly newsletter: Intel + Proof Pack summary with tracked links.
Reactivation: simple segments for inactive subscribers and silent Telegram joiners.
Support loop: frequent questions turned into short explainers and pinned updates.

The goal is higher repeat intent and higher trust, which lifts conversion.

What I own (clear boundaries)

Social and community operations, content cadence, and moderation standards.
Growth tracking discipline (UTMs, GA4 events), weekly reporting, and experiment planning.
Conversion optimization inputs (copy, creative direction, onboarding), in coordination with product and dev.

6 / 10

Owned + tracked

KPI ownership

What I own and track (growth to engagement to conversion to health)

KPI	How it’s defined	Cadence
Traffic by source	Sessions segmented by UTMs (X, IG, TG, creators, referral, partners)	Weekly
Signup rate	Email/newsletter signups ÷ landing sessions	Weekly
Buy-click rate	Clicks to presale/buy portal ÷ landing sessions	Weekly
Telegram growth	New members/week + join source distribution	Weekly
Telegram activation	% new members who engage (post/reply) within 7 days	Weekly
Community health	Weekly active users, sentiment notes, scam reports	Weekly
Support SLA	Median first-response time + % resolved in target window	Weekly

7 / 10

Practical playbooks

Actionable initiatives

Content cadence + channel strategy (execution-ready)

Content pillars (repeatable)

Proof & Trust: official links, audit scope, security reminders, proof packs.
Method & Discipline: AI scoring explainers, red flags, “how we evaluate”.
Access & Outcomes: tier unlocks, marketplace flow, milestone transparency.

Weekly cadence (minimum viable)

X: 2–3 posts/day + 2 threads/week
Telegram: daily Intel Brief + 2 AMAs/week + weekly Proof Pack
Instagram: 3 reels/week + 1–2 carousels/week
Blog: 2 posts/week to repurpose to threads & carousels

Reporting + optimization loop

Weekly report (1 page): what we shipped, KPI deltas, what we test next.
One experiment/week: landing copy, CTA, onboarding flow, creator offer.
Creative iteration: keep visuals minimal, consistent, high-contrast, brand orange only as accent.
Quality bar: no hype claims; proof-first language aligned to the site.

Everything tracked via UTMs + GA4 events

8 / 10

Targets + outcomes

Targets

Where I can take this in 60 days (range targets)

Metric	60 days (conservative)	60 days (base)	60 days (stretch)
Telegram members	~3,000	~5,000	~8,000
Telegram activation	20% weekly actives	30% weekly actives	40% weekly actives
Newsletter sign-ups	+1,500	+3,500	+6,000
Buy-click rate	2–3%	3–5%	5–7%

How we drive conversion quickly

Reduce trust friction (verification hub + audit clarity + support SLA).
Improve onboarding (Telegram flow + email welcome sequence).
Scale what works (event-style reels, creator partnerships, referral loop).

Why ranges (not fake certainty)

Presale funnels are volatile. We forecast ranges tied to controllable inputs, then tighten targets after 14 days of real data.

Week 2: replace assumptions with baselines

9 / 10

Paid + lifecycle stance

How paid and email fit into the growth engine

Paid growth stance

Paid is deliberately deferred in days 1–30 while trust and conversion tracking are cleaned.
Primary early use case: retargeting verified site visitors and Telegram joiners.
Creative focus: proof-first creatives, audit clarity, and “show the work” messaging.
Channels prioritized: X ads and Meta retargeting only, no broad cold traffic.

Email + lifecycle ownership

Welcome sequence: verification hub, audit scope, product flow, safety reminders.
Weekly intel recap: top scores, market notes, and official updates.
Re-engagement loop: proof packs and milestone transparency for inactive users.
Goal: lift buy-click rate and reduce reliance on social-only distribution.

Why this sequencing works

Paid traffic only amplifies what already converts. By cleaning trust surfaces, onboarding, and instrumentation first, we ensure paid spend in days 31–60 compounds results instead of masking funnel leaks.