Client Success Story

How GrowthSpree Booked DOOH Discovery Calls for AdOnMo with Brands & Agencies

A personalized, multi-channel outbound program across email and LinkedIn that reached 1,931 marketing buyers, earned a 14.71% MQL rate, and climbed toward a near-19% peak.

1,931
Prospects Reached
14.71%
MQL Rate
63
SQLs
AdOnMo logo
AdOnMo
India's largest digital screen network
Founded
2017
Headquarters
Hyderabad, Telangana
Company Size
201–500 employees
Sector
AdTech (DOOH)

The Mission

AdOnMo is powering the next wave of high-impact advertising in India, shaping the urban advertising landscape through targeted DOOH — digital out-of-home — advertising. As India's largest digital screen network, it lets brands execute out-of-home campaigns with speed and flexibility.

The Challenge

The objective was to onboard and convert brands and marketing agencies — booking discovery calls so AdOnMo's team could demonstrate its digital screen network. That meant reaching a niche set of senior marketing decision-makers across several verticals, plus agencies, and converting cold contacts into booked calls efficiently.

Key Challenges Identified

Niche, senior ICP: marketing heads across apparel, real estate, retail, and hospitality, plus agencies.
Cold-start outbound: deliverability, personalization, and tracking had to be built from scratch.
Two buyer types: both brands and marketing agencies to onboard and convert.
A calls-only KPI: success was measured purely on discovery calls booked.

Our Strategy

Build a personalized, multi-channel outbound engine to book discovery calls. We targeted marketing heads in the verticals where DOOH lands hardest, plus agencies, and reached them across email and LinkedIn — engineering deliverability so messages landed in the inbox, then testing relentlessly to lift MQL and SQL rates over the engagement.

The GrowthSpree Approach

GrowthSpree built AdOnMo's outbound engine to book discovery calls with brands and agencies. We targeted marketing heads in apparel, real estate, retail, and hospitality, plus marketing agencies, and ran personalized multi-channel cold outreach across email and LinkedIn.

To protect deliverability, we warmed the sending domain with Lemwarm, then executed Lemlist campaigns built for primary-inbox delivery, per-prospect personalization, A/B testing, and full tracking — steadily lifting MQL and SQL rates across the engagement.

How GrowthSpree Saved the Day

Targeting

We focused on marketing heads in apparel, real estate, retail, and hospitality brands — the verticals where DOOH performs best — as well as marketing agencies that buy media on behalf of many brands.

Marketing Heads
Brands + Agencies

Multi-Channel Outreach

Personalized cold outreach ran across both email and LinkedIn, reaching senior marketing buyers in parallel and reinforcing the same tailored messaging across channels.

Email + LinkedIn
Personalized Cold Outreach

Deliverability & Process

We warmed the sending domain with Lemwarm, then ran Lemlist campaigns built for primary-inbox deliverability, per-prospect personalization, A/B testing of variations, and efficient tracking and reporting.

Lemwarm + Lemlist
Primary-Inbox Deliverability

Our Plan of Action: Reach, Land, Book

Target the right marketing buyers, land in their inbox, and convert interest into booked discovery calls.

1

Target the Right Marketing Buyers

Focused on marketing heads across apparel, real estate, retail, and hospitality, plus marketing agencies — the audiences with the strongest fit for AdOnMo's DOOH network.

2

Engineer Deliverability

Warmed the sending domain with Lemwarm, then built personalized Lemlist campaigns for maximum primary-inbox deliverability, with A/B testing of variations and full performance tracking.

3

Optimize Toward Booked Calls

Ran multi-channel outreach across email and LinkedIn, continuously testing messaging to lift MQL and SQL rates and convert interest into booked discovery calls.

The Results: An MQL Rate That Climbed

1,931
Prospects
Reached
284
MQLs
Earned
63
SQLs
Surfaced

Across 969 unique companies, a personalized outbound engine reached 1,931 prospects and earned 284 MQLs — a 14.71% MQL rate that peaked near 19% — surfacing 63 SQLs to book discovery calls.

Performance Breakdown

How engagement climbed over the engagement, and how reach converted into qualified, call-ready prospects.

MQL & SQL Rate Over Time
As messaging and targeting were refined, both MQL and SQL rates trended up across the engagement.
MQL rate SQL rate
20% 15% 10% 5% 0% 6.09% ~19% 14.71% 4.25% 1.27% 1 2 3 4 5 6 7 8 Outreach period (across the engagement)
Combined MQL and SQL rate across email (Lemlist) and LinkedIn (Dripify) outreach. MQL rate peaked near 19% before settling at the 14.71% overall rate.
The Outreach Funnel
From thousands reached to a focused set of qualified, call-ready prospects.
1,931
Prospects Reached
14.71% MQL rate ↓
284
MQLs
qualified ↓
63
SQLs
SQLs fed the primary KPI: discovery calls booked.
Reach: Companies & Prospects
Outreach multi-threaded into target accounts, reaching roughly two buyers per company.
Prospects Reached
1,931
Unique Companies
969
1,931 prospects reached across 969 unique target companies.

Frequently Asked Questions

Across 969 unique companies, GrowthSpree reached 1,931 prospects, earned 284 MQLs (a 14.71% MQL rate that peaked near 19%), and surfaced 63 SQLs to feed discovery calls.
To onboard and convert brands and marketing agencies by booking discovery calls — the primary KPI — so AdOnMo's team could demonstrate its DOOH digital screen network.
Marketing heads in apparel, real estate, retail, and hospitality brands, as well as marketing agencies.
GrowthSpree warmed the sending domain with Lemwarm to boost deliverability, then ran personalized outbound campaigns in Lemlist — landing in the primary inbox, A/B-testing variations, and tracking performance — across both email and LinkedIn.
AdOnMo is India's largest digital screen network, founded in 2017 and headquartered in Hyderabad. It powers targeted DOOH (digital out-of-home) advertising, letting brands run out-of-home campaigns with speed and flexibility.
Through continuous A/B testing of messaging and audiences, the MQL rate climbed from around 6% to a peak near 19%, ending at 14.71%, with the SQL rate rising alongside it.

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