MEANTTOBE.AI × HAWKY.AICREATIVE ANALYSIS & PERFORMANCE · 2026

INTRO - For Taru & the Meanttobe.ai growth team

Launch loud. Scale on evidence.
Your entire install engine, day one. Every dollar optimised to a registration - not just an install.

Meanttobe.ai is launching a new way to connect into the most creatively brutal category in consumer apps - where CPMs are steep, creative fatigues in days, and density decides everything. You’ve scaled this category before; you know launch is won on creative volume, speed and ruthless measurement. Hawky is that entire engine, ready on day one: category decode and competitive research, scripts and creative production, media strategy, one-click launch, and agents optimising Meta, Google & TikTok to cost per registration - with experts who’ve scaled app-install accounts in the loop, owning the campaign with you.

Hawky.ai · Creative & audience intelligence

Reference accounts · Brands.live · Pocket FM

02 / 19

CONTEXT - Where Meanttobe.ai is

Pre-launch, US-bound, with a founder playbook the category rarely gets.

The brand

A stealth consumer social / dating product from the team that built and scaled Tinder & Match Group apps across India, SEA and Turkey for 8+ years.
VC-backed, NYC-headquartered with a Gurgaon growth & creative engine - launching in the US.
Positioning at the intersection of culture and technology: reimagining how people connect, form communities and forge relationships.
Currently assembling the growth stack by hand: fractional performance talent, editors, art directors, growth interns.

The market

Dating-app fatigue is the defining consumer story: swipe burnout, subscription cynicism, incumbents fighting churn.
Intentionality wins: the fastest-growing incumbent is the one promising to be deleted - proof the category rewards a fresh narrative.
An AI-native wave (Sitch, Iris, Amori and more) is resetting expectations of matchmaking - and crowding the same NYC feeds.
US launch economics are unforgiving: premium CPMs, TikTok-speed creative decay, and a density game - win a city’s liquidity or lose the cohort.

The growth job

Drive cost per registration (CPR) - not installs - as the metric that decides scaling; CPI and cost-per-trial as guardrails.
Produce launch-grade creative at TikTok volume: scripts, UGC-style video, statics - refreshed before fatigue, per cohort.
Decode the category before spending: what Tinder, Hinge, Bumble and the AI-native apps run, and where the whitespace is.
Stand up the whole engine in weeks, not hiring cycles - launch windows don’t wait for headcount.

03 / 19

PROBLEM - The targeting problem

On Meta & Google, you can’t ‘set’ targeting anymore. Post-ATT, the algorithm decides who sees you - steered by your creative and your earliest signal. A new app starts with neither.

A dating-app launch on broad/Advantage+ delivery - where mistargeted spend actually goes (illustrative)

Low-intent installers28%

Wrong cohort locked in20%

Creative fatigue20%

Untested variants16%

Working spend16%

The algorithm finds click-happy scrollers - CPI looks fine, registrations never comeGeneric creative attracts the wrong early users - the algorithm learns to find more of themStale assets stop filtering - delivery drifts broader and junkier as decay sets inScripts launched on instinct mis-seed the account before anyone can course-correctCreative matched to the right cohort, feeding clean registration signal - the share doing the work

This is the cold-start trap: with no seed data, your first few thousand impressions teach Meta and Google who your audience is. Get that wrong and the account scales in the wrong direction - every dollar after amplifies the mistake. Targeting isn’t a settings panel anymore; it’s creative + signal engineering.

Old playbook - targeting by settings

Interest stacks, detailed targeting, manual audiences - the levers ATT and Advantage+ have steadily removed.
Creative treated as decoration; delivery treated as the platform’s job.
New account seeded with whatever converts cheapest - usually the wrong users.
When CPR blows out, the answer is ‘test more audiences’ - levers that barely exist now.

Hawky - targeting by creative + signal

Each cohort script is engineered to attract its cohort and repel the rest - the creative does the audience selection.
Competitor creative intelligence reveals which entities pull which cohort - before you spend (next slide).
Bidding wired to registration events, so the algorithm optimises toward people who register, not people who tap.
The account is deliberately seeded: right cohorts first, clean signal, then scale on a foundation that compounds.

04 / 19

THE SHIFT - Creative is the targeting

How Meta & Google decide who sees you - and how Hawky engineers every step of it for a brand-new app.

BROAD DELIVERY

The platform explores

Advantage+ / PMax start wide: the algorithm probes cohorts to see who responds.

›steered by

CREATIVE FILTERS

Your ad selects the audience

A Gen Z female-POV storytime pulls her; a swipe-fatigue skit pulls him. Every entity in the ad is a targeting decision.

›produces

EARLY SIGNAL

First registrations teach the algo

The first cohorts who install & register define the lookalike gravity of the whole account.

›locks in

ALGO LOCKS ON

Delivery narrows

Meta & Google scale toward whoever your creative + events said you wanted.

›then

SCALE

Compounding - either way

Seeded right, CPR falls as spend rises. Seeded wrong, you pay to grow the wrong audience.

↻ this is why the category decode comes first - Hawky knows which entities pull which cohort before your first dollar moves

A · COMPETITOR INTEL AS TARGETING

Borrow the category’s learning

Tinder, Hinge, Bumble and the AI wave have spent hundreds of millions teaching these algorithms. Hawky’s decode of their ads reveals which hooks, faces and formats pull which cohort - your initial cohort targeting, inherited on day one.

B · CREATIVE AS THE LEVER

Fix targeting by fixing creative

When delivery drifts, agents don’t ‘change audiences’ - they change the entities: swap the hook, the POV, the proof. The creative re-steers the algorithm within days.

C · SIGNAL AS THE ANCHOR

Registrations, not installs

05 / 19

AUDIENCE - Six cohorts, six reasons to register

‘Singles 18–45’ is not a strategy. Each cohort registers on a different promise - and density starts with the right ones.

01

Gen Z women, 21–27

The cohort that decides a dating app’s fate. Registers on safety, vibe and social proof - never on volume claims. Win her, density follows.

SIGNAL · install→reg & D7

02

Swipe-fatigued millennials, 26–35

Churned from the incumbents; allergic to gamified swiping. Converts on intentionality, depth and ‘this one’s different’ proof.

SIGNAL · churned-app conquest CPR

03

Culture-first connectors

Wants connection rooted in shared culture, values and community - the exact intersection Meanttobe.ai is built on. Underserved by generic apps.

SIGNAL · community-hook CTR

04

AI-curious early adopters

Tries every AI matchmaker; waitlists as a hobby. Converts on product novelty, founder story and being first. Loud, influential, cheap to reach.

SIGNAL · waitlist→reg conversion

05

Launch-city seeds (NYC)

Density play: neighborhood-level targeting in launch metros; campus, first-job and community clusters that make early matches feel alive.

SIGNAL · per-metro liquidity

06

Rival-app switchers

Active on competitor apps and openly frustrated - reachable through conquest angles, comparison hooks and ‘delete the old apps’ narratives.

SIGNAL · conquest CPI vs blended

06 / 19

AUDIENCE - Who → message → where

Scripts only pay when they’re matched. Hawky builds and maintains this map from category decode first, live registrations after launch.

Cohort

The script that converts

Where - TikTok · Meta · Google

C1Gen Z women

“Finally, an app that doesn’t feel like a numbers game.” Entities: female-POV storytelling, safety cues, real-date outcomes, no swipe imagery. →

TikTok female-creator POV & storytime
Meta Reels - trust & vibe entities

C2Swipe-fatigued millennials

“You didn’t fail at dating apps. They failed you.” Entities: fatigue empathy, intentional-matching proof, delete-the-rest hook. →

Meta 26–35 interest & lookalikes
Google UAC + ‘best dating app for serious’

C3Culture-first connectors

“Match with people who get where you come from.” Entities: culture & community visuals, shared-values prompts, festival & food moments. →

TikTok/Meta community & culture interest stacks
city-level creative variants

C4AI-curious early adopters

“The team that scaled dating in 3 markets is rebuilding it from scratch - with AI at the core.” Entities: founder story, product peek, waitlist scarcity. →

Meta/TikTok tech-adopter stacks
Google brand & ‘AI dating app’ queries

C5Launch-city seeds

“NYC, you’re first. Real people near you are already on.” Entities: neighborhood name-drops, local creators, density proof. →

Meta/TikTok geo-radius by borough
campus & first-job clusters

07 / 19

THE SYSTEM - The whole engine, one picture

From zero ad history to a scaled account. External signals in, agents spin up, experts gate, platforms learn - and every result compounds.

08 / 19

APPROACH - What Hawky runs for Meanttobe.ai

Six layers, one loop. Analysis → creative → launch → optimisation → scale - the complete install engine, experts in the loop.

L1

Pre-launch intelligence

The category decoded before a dollar moves: every Tinder, Hinge, Bumble and AI-native ad broken into 100–280 entities - hooks, scripts, personas, formats - mapped to whitespace Meanttobe.ai can own.

LAYER 01

L2

Creative & script engine

Scripts, UGC-style video and statics generated same-day from the entity library - per cohort, per city, human-gated for brand voice.

LAYER 02

L3

Competitor radar

Rivals’ ads scraped every 30 minutes and decoded into entities - revealing which hooks pull which cohort, so your initial cohort targeting is inherited from the category’s spend, not guessed.

LAYER 03

L4

Paid-ads automation agents

Agents run the install engine end-to-end: campaign builds, budgets, bids, audiences, creative rotation across Meta, Google & TikTok - 24/7, within guardrails.

LAYER 04

L5

Registration funnel optimisation

MMP-wired: install → registration → profile complete → first session - bidding trained on CPR, not CPI.

LAYER 05

L6

City launch flow

The density playbook, productised: city brief → creative pack → structure → one-click deploy → agents optimise - NYC first, every next metro cheaper.

LAYER 06

09 / 19

LAYER 01 - Pre-launch & audience intelligence Illustrative preview · your data after integration

One grid: cohort × the KPIs that decide scaling. Seeded from category benchmarks pre-launch; rebuilt on your live data from week one.

Launch Intelligence · Meanttobe.ai · cohort × registration KPIs

Cohort matrixScript × cohortCity view

6

cohorts tracked

Early adopters

cheapest registrations

Gen Z women

best D7 & density

Switchers

highest intent

BetterWorseEach cell vs your library median · click for the assets behind it

COHORT / SEGMENT

CPR

REGISTRATION

MED $14.2

CPI

APP INSTALL

MED $6.1

INS→REG

QUALITY

MED 44%

HOLD 3s

HOOK

MED 29%

CPM

REACH

MED $12.6

D7 RET.

STICKINESS

MED 21%

DENSITY

Gen Z women

trust & vibe scripts

$16.8

decides density

$7.4

49%

34%

$14.2

27%

Launch-city seeds

NYC · geo-radius

$12.1

liquidity play

$5.6

46%

30%

$11.8

24%

CONQUEST

Swipe-fatigued millennials

intentionality hooks

$13.4

volume driver

$6.0

45%

27%

$13.0

22%

Rival-app switchers

conquest angles

$15.9

high intent

$6.8

47%

26%

$13.8

25%

EARLY ADOPTION

AI-curious early adopters

founder story · waitlist

$9.8

cheapest reg

$4.3

52%

33%

$9.4

19%

Culture-first connectors

community scripts

$12.7

whitespace

$5.9

43%

31%

$11.2

23%

10 / 19

LAYER 02 - Scripts & creative at launch volume

Dating creative fatigues fastest. The engine writes, produces and refreshes - scripts to live ads, same day, per cohort.

DECODE

Category entity library

Every winning dating ad of the last 12 months broken into hooks, scripts, POVs and formats - plus the whitespace none of them touch.

›

HAWKY · WRITE

Scripts per cohort

Storytime POVs, skits, founder-story cuts, testimonial frames - written from entities proven to hold attention in this category.

›same day

PRODUCE

Video & statics

UGC-style video with narrative arc, SFX & music; statics and app-store-ready variants - from your footage & brand kit.

›

QUALITY GATE

Brand-safe check

Human + model review: tone, claims, community guidelines (dating has the strictest). Only launch-grade assets pass.

›approved

DEPLOY & REFRESH

Fatigue-aware rotation

Assets live across TikTok, Meta & Google; decay predicted, replacements queued before CPMs punish you.

↻ every ad’s performance is decoded back into entities - week 4’s scripts are written by week 1–3’s evidence

A · THE CATEGORY TRUTH

Volume or death

Winning dating advertisers rotate dozens of fresh concepts monthly. A human-only pipeline - editors, art directors, review cycles - caps you far below the fatigue line.

B · WITH HAWKY

Volume with taste

Machine volume, human judgment: the entity library keeps output on-strategy, the gate keeps it on-brand, and your team approves - not produces.

C · THE POINT

At launch you have no brand equity to coast on - creative is the product’s first impression. Shipping fresh, cohort-matched stories daily is how a new app out-communicates incumbents with 100× the budget.

11 / 19

LAYER 03 - Competitor radar

Scraped every 30 minutes. Every rival’s live ads, decoded - the angles they run, the cohorts they chase, the whitespace Meanttobe.ai owns.

Rival

Where they attack

Their creative play

The gap Meanttobe.ai owns

Tinder · Match Group

Mass 18–30, casual-first, global brand weight

Brand campaigns + endless swipe-culture creative; fighting a fatigue narrative

The fresh start: no swipe baggage, culture-and-community positioning the incumbent can’t credibly claim - from a team that knows its playbook from the inside

Hinge · Match Group

Intentional daters 25–35 - the category’s growth story

“Designed to be deleted” - outcome proof, prompt-led personality creative

Intentionality is now table stakes; Meanttobe.ai goes further - connection rooted in culture, community and AI-native matching, not just better prompts

Bumble

Women-first positioning, 24–34

Empowerment brand codes; rebooting product & narrative amid churn

Win the same cohort on experience, not slogan: safety and women-first density built into the launch plan, proven in creative by real outcomes

AI-native wave · Sitch, Iris, Amori…

Early adopters in NYC & SF - the same launch feeds

AI-matchmaker novelty, founder-led content, waitlist scarcity

Novelty + pedigree: AI-native and built by operators who’ve scaled dating to millions of users - credibility the seed-stage wave can’t match

12 / 19

LAYER 04 - Paid-ads automation agents

The install engine, run by agents. Campaign builds, budgets, bids, audiences, creative rotation - automated end-to-end across Meta, Google & TikTok.

SET GOAL

Human decision

Your team sets the metric - CPR target by cohort & city - plus budget caps and brand guardrails.

›

BUILD

Campaigns & events

Agents create structures wired to MMP events: AEO/VO on Meta, tCPA UAC on Google, registration-optimised TikTok.

›

GOAL AGENT

Daily hypotheses

Ranks moves each morning: budget shifts, cohort & geo changes, script swaps, bid tweaks - then executes 24/7.

›executes

PROACTIVE AGENT

Silent monitor

Watches every campaign, pixel and postback; no noise while healthy.

›on anomaly

ALERT & ACT

Slack in minutes

Fatigue onset, CPM spike, tracking break, install-farm pattern - flagged with a suggested fix, not just an alarm.

↻ every hypothesis & outcome is logged to FeatherDB - agents argue from evidence, and the audit trail is yours

A · MEDIA AUTOMATION

Ads without the ops

Launch structures, geo-density budgets, conquest audiences, retargeting from waitlist & site events - launched, budgeted and rotated by agents.

B · CREATIVE AUTOMATION

Assets without the backlog

Creative agents fill every requirement automatically: new-cohort variants, fatigue replacements, city-localised cuts - briefed, generated, gated, live.

C · BUILT FOR A LEAN LAUNCH TEAM

You’re hiring product builders, not an ad-ops floor. Agents do the hourly work; your team makes the calls that matter - every agent decision inspectable.

13 / 19

LAYER 05 - Optimise to the registration

Installs are vanity. Registrations are truth. Every MMP event wired in; every drop-off stage gets its own automated creative and bidding response.

Impression

TikTok · Meta · Google

Install

CPI · guardrail

Registration

CPR · driving metric

Profile complete

quality gate

First session & match

the aha moment

Trial / subscription

LTV signal

Optimising to installs

Cheap installs from low-intent scrollers: CPI looks great, install→registration collapses, platforms learn to find more of the wrong people - the launch death spiral.

With Hawky - registration-trained bidding

Campaigns bid to MMP registration events (AEO/VO, tCPA), creative scored on install→reg - and profile-complete & trial signals fed back so LTV shapes the buying from month one.

Every stage attributed

Which cohort × script × city drove each drop-off - SKAN-aware on iOS, event-complete on Android - so the fix is an automated creative or bid response, not a guess.

14 / 19

LAYER 06 - One-click city launch

Density is won city by city. NYC first - then every next metro launches cheaper, faster and smarter than the last.

City brief

human input · 15 min

Density plan

cohorts · boroughs · budgets

Creative pack

localised scripts & video

Campaign structure

geo-radius · conquest · seeds

One-click deploy

Meta · Google · TikTok

Agents take over

goal + proactive

Today - a city launch

Weeks of planning, localisation, campaign builds and QA - each metro a bespoke project for a team that should be building product.

With Hawky - a day

Brief in, localised creative pack out (neighborhood name-drops, local creators, city-specific hooks), structure built, deployed in one click - agents optimising to CPR from hour one.

Why it compounds

Every launch feeds FeatherDB. Metro #4 opens with the accumulated evidence of NYC and everything after - a playbook, not a project.

15 / 19

ENGINE - What’s under the hood

Six modules, one memory. Everything writes to FeatherDB - so the system compounds from test geo to NYC to every metro after.

DECODE

Category intelligence

100–280 entities per creative across the whole dating category - scored against registrations, not likes.

WRITE & PRODUCE

Script & creative engine

Cohort-matched scripts, UGC-style video, statics - same-day, human-gated.

RADAR

Competitor intel

Ads Library + TikTok + Transparency Center, every 30 minutes.

AGENTS

Goal + proactive

Daily hypotheses toward CPR; silent anomaly guard on everything else.

LAUNCH

City flow

Brief → density plan → creative pack → one-click deploy.

MEASURE

Registration attribution

MMP-wired: install → registration → profile → trial - LTV shapes the buying.

16 / 19

PROOF - Already running matchmaking at scale

This isn’t a theory for us. Hawky already runs the engine for leading matchmaking & dating platforms - the category priors come with it.

MATRIMONY.COM

End-to-end on Hawky

India’s leading matchmaking platform runs Hawky across the stack: ad optimisation, creative optimisation & analysis, and ad ops - agents and experts operating live accounts at category scale, every day.

LEADING DATING APP

Full automation

A leading dating app is automating its entire paid growth loop on Hawky - creative generation, testing, rotation and budget moves - the same architecture proposed here.

WHAT IT MEANS FOR MEANTTOBE.AI

No cold start for us either

FeatherDB already carries matchmaking & dating priors: which hooks pull which cohorts, registration-event structures that platforms reward, and the ad-policy know-how dating demands. Your launch starts from evidence, not experiments.

A · SAME METRICS

CPR-driven, proven

These accounts are optimised to registrations and qualified sign-ups - the exact metric structure proposed for your launch, already battle-tested at scale.

B · SAME PLATFORMS

Meta & Google, daily

Live agent operations on Advantage+/AEO and UAC/PMax in this category - including the delivery quirks and policy edge-cases dating advertisers hit.

C · REFERENCES

Happy to connect you

17 / 19

CAPSTONE - Agents run the volume. Experts own the campaign.

Experts in the loop - operators who’ve scaled app-install accounts, taking up the complete campaign with you.

STRATEGY

Growth lead

Has scaled app-install accounts across Meta, Google & TikTok; owns the CPR target with your team, the city sequence and the weekly agenda.

CREATIVE

Creative strategist

Turns category entities into scripts and briefs - cohort by cohort, in Meanttobe.ai’s voice; runs the quality gate with your design team.

PERFORMANCE

Platform specialist

Hands-on across AEO/VO, UAC and TikTok registration campaigns: structures, bids, conquest audiences, agent guardrails.

DATA

Measurement engineer

MMP + SKAN wiring, install-fraud filters, cohort attribution, agent audit trails - the numbers your board sees, kept honest.

Accountable

This is not software plus a support desk. The pod takes up the complete campaign - growth and creative production - and is accountable for cost per registration, reviewed weekly against target by cohort and city. Agents move budgets hourly; experts answer for the outcome. One engagement replaces the fractional-hire stack - and it’s live in weeks.

18 / 19

NEXT STEPS - Launch-ready in four weeks

Start before launch day. The category is the training data - your engine is warm before the app is public.

WEEK 1

Connect & decode

Ad accounts (Meta, Google, TikTok) + MMP + waitlist/site events wired. Category decode begins: 12 months of dating-category ads into the entity library.

WEEK 2

Launch plan & scripts

Cohort × KPI matrix baselined; CPR targets and guardrails agreed; first script & creative library built per cohort - reviewed with your team.

WEEK 3

Soft-launch test geo

Agents live in a test market: registration-trained campaigns, creative rotation, funnel instrumentation proven end-to-end at small budgets.

WEEK 4+

NYC launch

The city flow fires: density plan, localised creative pack, one-click deploy - weekly CPR reviews from day one, next metros queued on evidence.

HAWKY

Expert pod

Growth lead · creative strategist · platform specialist · measurement engineer - plus the agent system.

MEANTTOBE.AI

Founding team

CPR target owner, brand voice & product truth, launch-city decisions, approval gates.

CADENCE

Weekly review

CPR vs target by cohort & city · script performance · agent hypothesis log · next cities queued.

19 / 19

COMMERCIALS — Pricing & engagement

2 + 12 month engagement pricing structure

Pilot phase

$2,000

/ month / brand

Months 1–2

Full engine live from day one — proving CPR economics on a launch-window budget.

Post-pilot engagement

$4,200

/ month / brand

Months 3–14

12-month scale engagement — more cohorts, cities, custom dashboards and enterprise support.

Pilot phase · Months 1–2 · included

Included agents & modules

Reporting Agents — automated insights & performance reports
Dashboard — unified view of creative performance
Copilot — conversational creative intelligence
Competition Agents — monitor & analyze competitor creative
Goal Agents — track & optimise towards your KPIs
Optimisation Agents — continuously improve creative performance

Consumption included

300 Creative Analyses (static & video)
600 Competitive Analyses (static & video)
250 Copilot queries
30 Reports
2 Ad Accounts
Unlimited Seats
Copilot Deep Research
Automated Weekly / Monthly Reports
Standard Support (9–5, Mon–Fri)

Post-pilot engagement · Months 3–14 · included

Included agents & modules

Reporting Agents — automated insights & performance reports
Dashboard — unified view of creative performance
Copilot — conversational creative intelligence
Competition Agents — monitor & analyze competitor creative
Goal Agents — track & optimize towards your KPIs
Optimisation Agents — continuously improve creative performance
Custom Dashboards — tailored views for your team’s workflows
Custom Integrations — connect to your internal data & tools

Consumption included

Custom Creative & Competitive Analysis volumes
Custom Copilot Query allocation
Unlimited Reports
Unlimited Ad Accounts
Unlimited Seats
Dedicated Customer Success Manager
Priority 24/7 Support
SSO, SLA & Security Reviews

TERM

2 + 12 months

2-month pilot to prove CPR, followed by a 12-month engagement — one continuous engine, per brand.

BILLING

Monthly, per brand

$2,000 / mo during pilot, $4,200 / mo post-pilot. Media spend billed separately at cost.

SCOPE

Software + expert pod

Agents, modules and the expert pod (growth · creative · performance · data) — one line item, no fractional-hire stack.

Launch loud. Scale on evidence.Your entire install engine, day one. Every dollar optimised to a registration - not just an install.