Campaign Intelligence in Dubai

ENH Marketing helps UAE businesses plan campaign budgets using historical performance, relevant benchmarks and forecast ranges. We estimate what a budget could produce, recommend how it should be divided between channels, and monitor whether the campaign is performing within the expected range.

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Abdullah Al Othaim Leisure Co.EKCAriiz InternationaldesertcartBlue Bell ShippingAXCLCHS Community PharmacyBW InteriorsComplyfinMasterkraftManipal Academy of Higher EducationFAPINEXNalsoftMatrix FinishesPKF UAENewEastSupercadTexolSaifee ComputersTop Shelf Technical ServicesTrostenThe Travel CollectionAllday RetailTRCpamcoAtlas CopcoBin Dasmal GroupDubai Duty FreeDubai Islamic BankProcatRHS LogisticsVenestaAbdullah Al Othaim Leisure Co.EKCAriiz InternationaldesertcartBlue Bell ShippingAXCLCHS Community PharmacyBW InteriorsComplyfinMasterkraftManipal Academy of Higher EducationFAPINEXNalsoftMatrix FinishesPKF UAENewEastSupercadTexolSaifee ComputersTop Shelf Technical ServicesTrostenThe Travel CollectionAllday RetailTRCpamcoAtlas CopcoBin Dasmal GroupDubai Duty FreeDubai Islamic BankProcatRHS LogisticsVenesta

What  We Do 

Campaign intelligence gives marketing teams a clearer basis for planning and reviewing paid media.

Before the campaign begins, we assess the objective, budget, audience, channels, and available performance data. We then prepare forecast ranges for the metrics that matter to the business.

Once the campaign is running, actual results are compared with the forecast. This helps identify problems early and supports better budget decisions. The service is customised to the business, category, campaign objective and quality of available data.

  1. 01

    Pre-Campaign Forecasting

    We estimate what a proposed budget could produce before it is approved or spent. Depending on the available data, the forecast may cover reach, website visits, enquiries, qualified opportunities, acquisitions and revenue. Each forecast shows the expected range and assumptions used, while metrics without enough reliable evidence are left out.

  2. 02

    Media Mix Planning

    We recommend how the budget should be divided across Google, Meta, LinkedIn, TikTok, YouTube and other suitable channels. The plan considers the campaign objective, audience behaviour, previous results, available creative and sales cycle. It also accounts for how much budget each platform can use efficiently.

  3. 03

    Category Benchmarking

    We compare campaign performance with a relevant category range when enough similar data is available. Benchmarks may include cost per click, conversion rate, cost per lead, acquisition cost and return on ad spend. The comparison only uses data with sufficiently similar objectives, markets, channels, and conversion definitions.

  4. 04

    Scenario Planning

    We estimate how results may change when the budget, channel mix, audience, or campaign objective is adjusted. This can show the possible effect of increasing spend, reducing it, or moving it between platforms. Each scenario includes an expected performance range and the assumptions used to calculate it.

  5. 05

    Early Performance Alerts

    We monitor whether campaign results are moving outside the expected range while the budget is still active. This may include rising costs, falling conversion rates, weaker lead quality, inefficient channel spend, or missing CRM conversions. The team can then investigate the issue and adjust the campaign before the full budget is spent.

  6. 06

    Forecast Versus Actual Reporting

    We present the forecast beside the actual campaign results to show where performance met or moved outside expectations. The report identifies which assumptions were accurate, which channels produced useful results, and whether the original budget was sufficient. The forecast is then updated as more reliable campaign data becomes available.

A forecast is only as useful as the information behind it.

Depending on the scope, we may review:

The diagnostic establishes what is available and how confidently it can be used.

A business does not need to have every item on this list.

Before the campaign

Confirm the Campaign Goal

We establish what the campaign needs to produce and how the result will be measured. A form submission, qualified lead, sales opportunity, and completed purchase are different results. We agree which one matters before calculating the forecast.

Before the campaign

Review and Align the Data

We review the available information from advertising platforms, analytics, the CRM and the sales team. We also resolve differences between systems, such as duplicate leads, different attribution periods or platforms and sales teams using different conversion definitions.

Before the campaign

Establish a Realistic Range

We use relevant campaign history and ENH benchmark data where enough comparable information is available. The comparison considers the industry, objective, platform, audience, location, offer, and conversion definition. If there is not enough reliable data, we state that and use a wider initial range.

Before the campaign

Build the Budget Scenarios

We estimate what different budgets and channel combinations could produce. Each scenario shows the expected performance range, the media allocation, and the assumptions behind the forecast. Where sufficient historical data exists, deeper predictive analysis or media mix modelling may also be included.

Campaign starts

Compare the Forecast With Live Results

Once the campaign starts, we compare actual results with the expected range. This helps us identify rising costs, weak conversion rates, poor lead quality, or channels that cannot use their allocated budget efficiently.

Campaign live

Adjust the Campaign

We update the budget allocation and forecast as new data becomes available. The campaign is assessed against the planned range and commercial outcome, rather than only against the previous month.

ENH helps you set a realistic budget, forecast the expected outcome and decide how the spend should be divided across suitable channels. We review your campaign history, tracking and sales data, then compare the plan with relevant category benchmarks where enough comparable information is available.

Once the campaign begins, we compare actual performance with the forecast and identify rising costs, tracking problems or weak results early.

  • set a realistic budget
  • forecast the expected outcome
  • decide how the spend should be divided

Once the campaign begins

  • rising costs
  • tracking problems
  • weak results

Tell us what the campaign needs to achieve, the budget being considered, and what performance data is currently available.

The proof — 22 client stories

Result card published for Healthy Farm Eatery.
01

Healthy Farm Eatery

Consistent Sales Growth Driven by High-Quality Lead Generation

211%
Exceptional growth in social media reach within 30 days
209%
Significant increase in content visibility and impressions
80%
Strong expansion in Instagram audience reach
60+
High-quality leads generated driving sales opportunities
Read the case study
seo peak monthly users
02

Shass Gift & Promotions

Driving Search & Local Market Dominance for a Corporate Gifting Brand

#1
Ranking for “corporate gifts USB sticks”
5,581
GMB impressions at monthly peak
175
Monthly conversions at peak
4,331
Backlinks across 402 referring domains
Read the case study
acc gulf- consistent #1 rankings
03

ACC Gulf

Strengthening Search Authority & Local Lead Growth in Industrial Supply

#1
Rankings for high-value industrial product keywords
1,896
Monthly users at peak traffic
1.8K
Backlinks across 167 referring domains
161
Monthly Google My Business interactions
Read the case study
helpsters - 2066 monthly mobile viewers
04

Helpsters Cleaning Services

Capturing High-Value Cleaning Contracts Through Targeted SEO

#1
Rankings for event & exhibition cleaning keywords
183
Monthly tracked conversions (Jan 2025)
3,450+
Monthly page views at peak
57
Monthly GMB call clicks
Read the case study
wafes - 20+ keywords in #1
05

Wafes Refrigeration Industry

Transforming Digital Visibility for a Refrigeration Manufacturer

#1
Rankings for core refrigeration manufacturing keywords
20+
Top 3 keyword positions secured
1,000+
New users at peak traffic
50
Monthly WhatsApp enquiries at peak
Read the case study
neodata - #1 #1 Ranking for keywords
06

Neo Data Technologies

Expanding Search Visibility & Lead Growth for an Enterprise IT Distributor

#1
Ranking for “DellEMC distributors in Dubai”
2,086
Monthly users at peak traffic
1,076
Google My Business impressions
60–70
Average monthly WhatsApp enquiries
Read the case study
Ariiz - 100% increase monthly users
07

Ariiz International

Driving High-Intent Search Growth for an Industrial Sealing Supplier

#1
Rankings for high-value industrial sealing keywords
1,700+
Monthly website users are at peak growth
550+
Backlinks supporting domain authority
75+
WhatsApp inquiries in a single month
Read the case study
onyx - 1,350+ Peak organic traffic volume
08

Onyx General Contracting

Achieving Digital Dominance with 1,350+ Monthly Users and 6,100+ GMB Impressions

1,350+
Peak organic traffic volume in 2025
70%
Average user engagement rate maintained
6,100+
Google My Business impressions generated in 2025
45+
Top ranking keywords across competitive construction verticals
Read the case study
DGR Aviation - 1,600+ Google My Business impressions
09

DGR Aviation Training Services

Driving High-Intent Visibility for Aviation Compliance Training

#1
Rankings for DGR Training Dubai & Dangerous Goods Training Dubai
1,600+
Google My Business impressions in a single month
170+
Local actions (calls & direction requests) in peak months
1,000+
Monthly website users driven by high-intent searches
Read the case study
Masterkraft - 346% Increase in website traffic
10

Masterkraft

Driving Digital Growth with a 346% Increase in Website Traffic

346%
Increase in website traffic over the first 12 months
305%
Increase in organic traffic over the first 12 months
331%
Planned and executed on improving UAE-based organic traffic over the last 6 months
15+
keywords ranking in the top 10 on SERPs in the first 6 months
Read the case study
ultracare - 371% Increase in traffic engagements
11

Ultracare

Elevating Engagement - A 371% Boost in Website Interactions

25%
Increase in website traffic year on year over the first 12 months
76%
Increase in new users from organic traffic over the first 12 months
126%
Increase in the total number of incoming inquiries
371%
Increase in traffic engagements over the first 12 months
Read the case study
pkfuae - 90+ Keywords ranking in the top
12

PKF UAE

Driving Success for PKF with 71% Traffic Surge

71%
Increase in website traffic year on year over the first 12 months
90+
Keywords ranking in the top 10 on SERPs in the first 12 months
53%
Increased social media reach across multiple channels over the first 12 months
85%
Increased local audience reach over the first 12 months
Read the case study
Autobahn - 155% Increase in website traffic
13

Autobahn Car Rental

Accelerating Success with a 155% Growth in Website Traffic

155%
Increase in website traffic year on year over the first 12 months
1070
Total number of organic conversions over the last 6 months
22%
Planned and executed on improving UAE-based organic traffic over the last 6 months
260
Total number of organic call inquiries over the last 6 months
Read the case study
Result card published for AllDay Supermarket.
14

AllDay Supermarket

Incredible 64x Increase in Social Media Impressions for AllDay Supermarket

18,914
The total number of app installs generated
64x
More impressions on social media over the first 12 months
14x
More impressions in the following 12 months through campaign optimization
Read the case study
datagram - +426% in total users
15

Datagram Store

Transforming the High-End IT Product E-Commerce Experience

+426%
Growth in total users
20+
High-intent keywords in Top 3
+60%
Increase in GMB call clicks
+36%
Growth in direct phone enquiries
Read the case study
supercad - 128% Increase in organic traffic
16

Supercad Trading

Revamping IT Solutions with a 128% Increase in Organic Traffic

128%
Increase in organic traffic year on year over the first 12 months
39%
Increase in traffic of UAE visitors to tap the local market over the first 12 months
47%
Increase in new users from organic traffic over the first 12 months
20
Keywords ranking in the top 10 on SERPs in the first 4 months
Read the case study
topshelf - 245% Increase in organic traffic
17

Top Shelf Technical Services

Boosting Organic Traffic by 245% in 12 months

245%
Increase in organic traffic year on year over the first 12 months
424%
Increase in new users from organic traffic over the first 12 months
194%
Increase in traffic of UAE visitors to tap the local market over the first 12 months
391%
Increase in traffic engagements over the first 12 months
Read the case study
Arbrit safety - 242% Increase in enquiries
18

Arbrit Safety

Empowering Health and Safety with a 242% Increase in Enquiries

242%
Increase in the total number of incoming inquiries
49%
Increase in organic traffic year on year over the first 12 months
144%
Increase in new users from organic traffic over the first 12 months
45+
Keywords ranking in the top 10 on SERPs in the first 12 months
Read the case study
saifee computers - 100% Increase in enquiries
19

Saifee Computers

Accounting Software Sales with an 85% Increase in Enquiries

85%
Increase in enquiries
47%
Increase in conversions from Google campaigns over the last 6 months
37%
Increase in organic traffic year on year over the first 12 months
40+
keywords ranking in the top 10 on SERPs in the first 12 months
Read the case study
royal caviar - 132% Increase in sales
20

Royal Caviar

Increase in sales by 132% in the First Six Months

132%
Increase in sales in the first 6 months
97%
Increase in new users from organic traffic over the first 12 months
30%
Increase in online orders over the first 12 months
155%
Increase in total online sales over the first 12 months
Read the case study
Lotus Dental Clinic - 85% Increase in incoming calls
21

Lotus Dental Clinic

29% Increase in Local Calls for a Dental Clinic

51%
Increase in incoming calls from local SEO optimization over the first 12 months
29%
Increase in local calls
67%
Increase in direction requests from local SEO optimization over the first 12 months
66%
Planned and executed social media campaigns focusing on improving Dubai's audience
Read the case study
Venesta - 174% Increase in organic traffic
22

Venesta

New Market Expansion for a Washroom Solutions Provider

174%
Increase in organic traffic year-on-year over the first 12 months
101%
Crease in new users from organic traffic over the first 12 months
61%
Increase in enquiries
235%
Increase in traffic engagements over the first 12 months
Read the case study
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FAQ

Everything you need to know about working with Dubai’s result-driven digital marketing agency.

Campaign intelligence uses historical data, benchmarks, forecasts and live performance information to support marketing decisions. It helps teams decide how much to spend, where to allocate the budget and when a campaign needs attention.

We review comparable campaign data, expected media costs, conversion rates, your previous performance, and the objective of the new campaign. The result is provided as a forecast range with clear assumptions. It is not presented as a guaranteed outcome.

There is no single UAE benchmark that applies to every business. A useful benchmark must consider the industry, platform, audience, offer, location, lead definition and commercial value of the enquiry.

We use the client’s own historical data and relevant ENH campaign data where enough comparable information is available. The proposal will explain which data sources are being used and any limitations that affect the benchmark.

Normal reporting explains what happened after the campaign ran. Campaign intelligence also estimates what should happen before the budget is spent and monitors whether actual performance remains within the expected range.

Not necessarily. Campaign intelligence can be provided while your internal team or another agency manages the campaigns. We will need suitable access to the media, analytics and sales data included in the scope.

We will not force an unrelated industry benchmark onto the forecast. If comparable category data is limited, we use your own history, platform data and early campaign results. The forecast range will be wider until more reliable information is available.

There is no standard accuracy percentage that applies to every forecast. Accuracy depends on the amount, quality and relevance of the available data. It is also affected by changes in creative, competition, tracking, offers, landing pages and sales follow-up. We show the forecast as a range and explain what could move the result.

Predictive marketing analytics uses historical and current data to estimate possible future campaign outcomes. For campaign planning, this may include expected lead volume, acquisition cost, revenue, channel performance and the effect of different budget scenarios.

Not always. Media mix modelling is useful when a business has enough reliable historical data across several channels and time periods. Smaller or newer datasets are usually better suited to channel forecasting and scenario planning.

The budget should be connected to the required outcome and a realistic acquisition-cost range.

For example, if the target is 100 qualified leads and the forecast cost per qualified lead is AED 200 to AED 300, the working media budget would need to reflect that range. Agency fees, production and other campaign costs should be calculated separately.

The service is priced according to the number of campaigns, channels, markets, data sources and reporting requirements. It is usually provided on a retained basis. The proposal will separate the campaign intelligence fee from media spend, production and paid media management.

Tell us what the campaign needs to achieve, the budget being considered, and what performance data is currently available.

We will assess whether there is enough information to build a useful forecast and show what should be included in the campaign intelligence scope. If the available data does not support a reliable benchmark, we will state that before the work begins.

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