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Case studies

Proof that Adsynth transforms campaigns

Verified outcomes from live client engagements — from a full-tempo, six-channel agency account to Apple Search Ads scaling and AI-search authority. Real accounts, not demo or sample data.

01 · Agency-run · Multi-channel lead genVerified client resultAutomotive lead generation· 18-week program
Sell Your Damaged Car

A six-channel lead-gen account, run daily by a lean team

Prebo Digital runs Sell Your Damaged Car across Google, Meta, TikTok, YouTube and SEO from a single Adsynth workspace — 338 human-approved changes in 18 weeks, with Meta cost-per-lead held roughly 30% under target.

Headline result
~30%
Meta cost-per-lead under target
338
Changes approved & applied
18 weeks · every one human-approved
6
Channels in one workspace
Google · Meta · TikTok · YouTube · SEO
12
Specialist assistants engaged
Search, PMax, Demand Gen, Meta, SEO…
The challenge

Sell Your Damaged Car is a high-volume automotive lead-gen brand in a competitive, seasonal South African market — where lead volume has to keep scaling as budgets grow, without letting cost per lead run away.

It's a quality game, not just a volume game: the goal is qualified leads, so optimization has to stay anchored to the right conversion signal rather than raw clicks.

And the surface is wide for a lean team — Search, PMax, Demand Gen and YouTube on Google, plus Meta, TikTok, SEO and AI-visibility — far more than one analyst can review by hand, across every channel, every day.

The approach

Anchored optimization to qualified leads

Adsynth kept bidding and reporting focused on the qualified lead-form conversion — so every recommendation stayed tied to outcomes that matter, and drift was caught inside the workspace rather than weeks later.

Restructured Search for lead quality

Segmented the generic ad groups, cleaned duplicate keywords, added negative-keyword lists and high-intent sitelinks and callouts, and adopted AI Max to expand qualified reach without inviting waste.

Moment-marketing Demand Gen

Built World Cup and Rugby Championship / Springboks Demand Gen campaigns end-to-end in-platform — audience research, build and creative — with both English and Afrikaans copy.

SEO, AEO and AI visibility

EEAT schema markup, a non-commodity content plan against SERP gaps, and LLM-citation tracking across ChatGPT, Gemini, Claude and Google AI Overviews — reported next to the paid data.

The results

The clearest performance win landed on Meta: cost per lead on the core prospecting campaigns held around 30% under target and improved week over week, while TikTok fed the top of the funnel at a fraction of the cost. On Google, the search restructure and AI Max were deployed to push efficiency as the account scaled.

The bigger story is leverage. Over 18 weeks a lean team ran six channels, shipped 338 human-approved changes, generated 43 client-ready reports, launched two moment-marketing campaigns and stood up an SEO and AI-visibility program — all from one governed workspace, with a person approving every live change.

The same account history compiled straight into a Google Ads “Creative Impact” awards submission — strategy, change log and results, pulled from the workspace rather than rebuilt by hand.

191Work sessions in 18 weeks
43Client-ready reports generated
183Changes tracked for measured impact

“We're running a six-channel account at full tempo with a lean team — and still approving every change ourselves. That's leverage we couldn't hire for.”

Prebo Digital · Adsynth Performance Team
DeployedGoogle Ads (Search, PMax, Demand Gen)YouTube awarenessMeta AdsTikTok AdsSEO & AEOLLM visibility trackingForecasting & pacingClient reporting
02 · Apple Search AdsVerified client resultE-commerce marketplace app· 90-day program
Bob Shop

Scaled App Store installs 23% while cutting cost per install 22%

Adsynth rebuilt a budget-capped Apple Search Ads account around match-type discipline — scaling acquisition volume and lowering blended cost at the same time.

Headline result
−22%
Blended cost per install
1,025
Monthly installs
+23% vs 834 baseline
$1.10
Blended CPI
down from $1.41
$0.77
Brand CPI
−2.5%, held efficient
The challenge

Bob Shop's Apple Search Ads account was stuck in a structural trap: its highest-intent brand terms were budget-capped — leaving active App Store demand uncaptured — while competitor and generic campaigns bled spend on broad-match queries with no install intent.

Broad-match leakage was quietly draining budget on unrelated banking and logistics searches every month, undermining the efficiency of the whole account.

The approach

Uncapped high-intent brand bids

Raised the brand daily cap so the campaign could absorb all direct organic demand instead of throttling it — capturing volume without inflating brand CPI.

Isolated match types

Separated exact-match from broad/search ad groups so the algorithm could no longer match high-value budget against low-intent queries.

Strict exact negatives

Established structural negative-keyword safeguards on exploration ad groups, eliminating broad-match waste at the source.

The results

Strict, structure-first management proved Bob Shop could scale acquisition volume and drive down cost at the same time. Monthly installs grew by more than 190 users while blended acquisition cost fell from $1.41 to $1.10.

Budget leakage on non-converting queries was eliminated entirely, and the brand campaign held a highly efficient $0.77 CPI even as volume climbed — evidence of a tightly optimized funnel rather than spend-to-grow.

−100%Budget leakage eliminated
+190Net new monthly installs
100%Brand impression-share defense

“Structure-first management scaled volume and cut cost at the same time — the funnel got bigger and cheaper in the same 90 days.”

Adsynth Performance Team
DeployedApple Search Ads managementCampaign structure rebuildMatch-type isolationNegative-keyword governance
03 · AI SEO & Generative SearchVerified client resultLuxury self-catering hospitality· First 7 days
Highland Peace Haven

One week in, AI search recommends the brand by name

Adsynth lifted organic visibility 415.6% and locked in 100% AI citation coverage across ChatGPT, Gemini and Google AI Overviews — bypassing the OTA commission trap entirely.

Headline result
+415.6%
Organic visibility in 7 days
100%
AI citation coverage
ChatGPT · Gemini · AI Overviews
17 → 54
Ranking keywords
+217.6%
+633%
Trout-fishing search traffic
The challenge

Highland Peace Haven is a premium self-catering retreat — exactly the kind of property held hostage by Online Travel Agencies. OTAs charge up to 20% commission per stay and sit between the property and its own guests, owning the customer relationship outright.

Bidding head-on against multi-billion-dollar booking directories on high-volume keywords is a losing battle. The only durable path to margin recovery is independent authority — owning search and AI-engine real estate the OTAs can't buy back.

The approach

Premium local content clusters

Four semantic hubs — golf green fees, Dullstroom trout fishing, 3-day itineraries and local guides — built to catch high-intent planning searches.

Schema-first structured data

Deep schema markup, FAQ blocks and clean tabular answers — engineered to feed the LLM pipelines behind conversational search.

Multi-surface targeting

Optimized in parallel for Google AI Overviews, ChatGPT Search and Gemini — not just the classic blue-link results page.

The results

Inside week one, the strategy produced compounding visibility across both traditional and generative search. On its highest-value queries the property earned dual exposure — organic SERP positions and direct AI citations — squeezing OTAs out of the answer entirely.

When a traveller asks an AI engine for the best luxury stay near Dullstroom with trout fishing and golf, Highland Peace Haven is now named directly — authority that no commission can buy back.

+600%Golf green-fees visibility
3AI surfaces won (ChatGPT, Gemini, AIO)
Week 1Time to first named AI citation

“We stopped renting visibility from the OTAs and started owning it. When an AI engine names the property as the answer, that's authority no commission can buy.”

Adsynth Strategy Team
DeployedGenerative Engine Optimization (GEO)Semantic content clustersSchema & structured dataLLM citation monitoring

Results shown are specific to the client, industry, and time period described and are not guaranteed for any other business. Figures are drawn from the client's own advertising and analytics accounts and are available for review on request. Case studies are published with the client's permission.

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