We check you have the traffic first
Power calculation before the proposal. Most sites in this market cannot support a meaningful testing programme on their key pages, and saying so costs us a retainer we would not have earned.
Growth marketing
A/B testing in Dubai, with enough traffic to actually call a winner
Most testing programmes in this market are underpowered. A test runs for a week, one variant is four percent ahead, somebody declares a winner and it goes live. That is not an experiment, it is noise being promoted to strategy — and it is the single most common thing we are asked to unpick.
Tell us what you need
A senior person reads this and replies within one working day. No call centre, no drip sequence.
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Support@adnika.comPartners & recognition
The stack we work in, the clients we keep
The platforms we build and run campaigns in, and the clients whose numbers we publish with their names on. HubSpot is the one partnership we claim; the rest are tools we use, not badges.
The problem
Most tests never had a chance of being conclusive
Before anything else, a test needs enough traffic and enough conversions to distinguish a real effect from chance. A great many programmes never check.
Where testing goes wrong
Not enough traffic to detect anything
Detecting a ten percent lift usually needs hundreds of conversions per variant. A page with forty conversions a month cannot resolve that in a fortnight, and running it anyway produces a number that feels like evidence and is not.
Called the moment it looks good
Peeking at a running test and stopping when it is ahead inflates false positives dramatically. The stopping rule has to be set before the test starts, and then honoured when it is inconvenient.
Testing button colours
Small cosmetic tests move small numbers and eat the traffic you needed for the tests that matter. The big movers are usually the offer, the price framing, the form length and what the page asks for.
Nobody writes down what was learned
Twenty tests run, no record of what was believed beforehand or what changed. The programme accumulates activity instead of knowledge, and the same idea gets tested again in a year.
What is included
What the programme contains
Prioritisation, statistics and a record. The building of variants is the easy part.
A power check before anything runs
Your traffic, your baseline conversion rate, and the smallest lift worth detecting. That arithmetic tells you what is testable and what is not, and it is the honest first conversation.
A prioritised backlog
Each idea scored on expected impact, confidence and effort. It stops the calendar being filled by whoever spoke last, and it puts the high-traffic, high-intent pages first.
Hypotheses, not ideas
Written as a claim with a reason and a predicted direction, so a result teaches you something whichever way it goes. Change the button to green is not a hypothesis.
Build and QA
Variants built to not flicker, checked across browsers and devices, and validated so the test does not break tracking or the page for a third of your traffic.
Honest analysis
Pre-registered stopping rule, significance and confidence interval reported, and the practical difference stated in money rather than percentages.
Losers reported
Most tests do not win, and a programme that only reports wins is not measuring. The losses are where the expensive assumptions get killed.
Server-side and feature-flagged tests
Where the change is functional rather than cosmetic, or where a client-side flicker would distort the result.
A written learning log
What we believed, what we tested, what happened, what changed. It is the compounding asset — the programme should get smarter, not just busier.
Technology
What we test with
Tool chosen for your traffic and stack, not for what we happen to resell.
Testing
Where the split happens.
- VWO
- Optimizely
- Google Optimize successors
- Convert
- Shopify native testing
- Server-side flags
Evidence
What to test in the first place.
- Hotjar
- Microsoft Clarity
- Session replay
- Funnel analytics
- On-site survey
- Sales call review
Statistics
So a result means something.
- Power and sample size calculation
- Pre-registered stopping rules
- Confidence intervals
- Sequential testing where warranted
Measurement
Tied to revenue, not to clicks.
- GA4
- Server-side tagging
- HubSpot
- Revenue per visitor
How we work
How a testing programme runs
The first month is arithmetic and evidence. Tests start when they can conclude.
Before selling you a programme
Traffic, conversions and baseline rate against the smallest lift worth finding. If the numbers do not support testing we say so and point you at the work that will move things instead.
- Power and sample size calculated
- Minimum detectable effect agreed
- Honest testable-or-not verdict
- Alternative recommended where it is not
Evidence, not opinion
Funnel drop-off, session replay, on-site search, support tickets and sales calls. The biggest opportunities are usually further up than the button everyone wants to change.
- Funnel drop-off analysis
- Session replay review
- Qualitative input from sales and support
- Backlog scored and prioritised
One test, one stopping rule
Hypothesis written, sample size fixed, stopping rule pre-registered. Then it runs to the end, including the weeks where somebody wants to call it early.
- Hypothesis with a predicted direction
- Sample size fixed before launch
- Stopping rule pre-registered
- QA across browsers and devices
Win or lose
Result in money, confidence stated, learning written down. Losers get the same write-up as winners, because that is where the assumptions die.
- Result reported in revenue terms
- Confidence interval, not just a p-value
- Losers documented as fully as wins
- Learning log maintained
Why us
Why our testing is worth paying for
Largely because we will tell you when it is not.
Stopping rules set in advance
Peeking and stopping when a variant is ahead is how underpowered programmes generate confident nonsense. Ours is fixed before launch and honoured afterwards.
We test the offer, not the button
Price framing, form length, what the page asks for, the guarantee. These move real numbers. Colour tests consume the traffic those tests needed.
Losers get written up
Most tests lose. A programme that only reports wins is not measuring anything, and the losses are usually where the expensive assumption gets killed cheaply.
Industries
Proven results across sectors
Every number below is the count of case studies we have actually published in that sector, and the best result among them. Nothing is a counter.
Selected work
Growth work we have published
:quality(80))
German Medical Center
Two disconnected websites rebuilt as one bilingual WordPress site with a HubSpot funnel behind it.
+288% organic traffic
View Case Study 
+288% organic traffic:quality(80))
Roxana Aesthetics
Seventy-two treatment pages in Dubai’s most contested clinical category, built inside DHA advertising rules.
+310% organic traffic
View Case Study :quality(80))
Elora Polyclinic
One site carrying aesthetics, dentistry and surgery — three audiences, three routes, one design system.
+230% organic traffic
View Case Study :quality(80))
Arabland
A Dubai property platform with filterable listing search, a map of the city and a mortgage tool.
+220% organic traffic
View Case Study :quality(80))
Concept Plus
A scroll-scrubbed WebGL scene experience spanning six divisions — and still a PageSpeed of 90.
PageSpeed 90 on WebGL
View Case Study :quality(80))
Bafco
Office furniture on Shopify, serving a single-chair buyer and a corporate fit-out from one catalogue.
+320% organic traffic
View Case Study :quality(80))
A2 Sweden
A smart-lock catalogue with parallel routes by product, by industry and straight to the flagship.
+180% organic traffic
View Case Study Where this sits
The rest of growth marketing
Testing is one part of the growth capability. Here is the rest.
The hubGrowth marketingExperimentation, analytics, retention and referral — the growth capability in one place, with the numbers behind it.
Everything in this service
- Experimentation & A/B testingYou are hereA test calendar with enough traffic behind it to call a winner.
- Funnel & conversion analyticsFinding the step that leaks before spending more to fill the top.
- Retention & lifecycleKeeping the customers acquisition already paid for.
- Referral & loyaltyProgrammes designed around the reason people would actually refer.
- Product-led growthTrials, onboarding and activation for products that sell themselves.
Client stories
What clients say
On camera and in writing — swipe through the founders and teams we’ve helped design, build and grow.
In their words
★★★★★
GMC is thrilled to extend our heartfelt appreciation to Adnika! Collaborating with Ehsan and his team has consistently been an absolute delight. Ehsan's dedication and commitment have ensured that German Medical Center remains an exceedingly satisfied and happy client, especially regarding their Hubspot Onboarding, Digital Marketing, Website Development, Content Creation and Social Media Marketing. Adnika is indeed the Best Digital and Growth Marketing Agency in UAE!
★★★★★
Adnika provided us with their Inbound Sales and Marketing solutions through Hubspot. They helped us generate more qualified leads for our sales team, drive website traffic, increase customer engagement, and grow our customer base. Adnika is a reliable partner that has always taken our specific goals and needs seriously.
★★★★★
Adnika has helped us plan, implement and optimize ad campaigns on Facebook and Instagram. Adnika is truly committed to Performance Marketing. They provided us with a fantastic dashboard with detailed KPIs that helped us track the campaigns’ performance in real time. Adnika also gave us helpful and dedicated support during the whole project, and the campaigns turned out to be a great success. We highly recommend working with Adnika's growth experts.
★★★★★
We really enjoyed working with Adnika’s team. Not only are they talented, but they all take the time to understand whom they're working with, what they're trying to accomplish, and how to help the business achieve its goals. The quality of work we've experienced has made a huge difference for us and helped drive new business.
★★★★★
Adnika helped Sea Technology with setting up new digital channels, such as Google Search Ads, to attract more customers and leverage our brand. We are very satisfied with the results and we will continue with the implementation of lead generation, marketing automation, and performance marketing.
★★★★★
Working with the Adnika team has been a real pleasure! Extremely friendly, Ehsan and Elin are always available with prompt replies, valuable insights, patience, a problem-solving attitude, and high knowledge. Super easy to work with them. I highly recommend the Adnika team to help your business!
★★★★★
I am an artist, but I also manage a collective of DJs. In order to promote our services to our clients, we needed Inbound solutions that could attract the right traffic and promote the brand. Adnika built and designed our Inbound processes as well as create and manage campaigns on social media and Google Ads which helped us attract many more customers. I’m very happy!
★★★★★
We've been using Adnika growth marketing solutions only for a few months. They are highly professional, competent, experienced, and creative. Get ready to get to work with this agency. They will come alongside you as a business owner and feel your pain and joy! Get ready to transform your business.
Questions
A/B testing, answered plainly
Starting with how long a test should run, which is what Google shows people asking most.
Long enough to reach the sample size the arithmetic requires, and never fewer than two full weeks regardless. Two weeks covers both weekend patterns and the weekly business cycle; stopping earlier because a variant is ahead is the single most common way testing produces confident nonsense. Calculate the sample size first, then run to it.
For a page with a few hundred conversions a month, a properly powered test typically runs three to six weeks. Below roughly 200 conversions a month per variant, most tests cannot resolve anything smaller than a very large effect, and the honest answer is to fix the obvious problems rather than test.
When it is powered, yes — and when it is not, it is worse than useless, because it produces a number that looks like evidence. Most tests lose or come out flat. The value is in the small number of real wins plus the assumptions you stop paying for.
AED 12,000 to AED 45,000 per month covers most of what we are asked to build. The number moves on how many tests run in parallel, whether variants need development rather than visual editing, and whether server-side testing is involved. Anything quoted before those are known is a guess. We scope first, then price, and the scope document is yours whether or not you proceed. These are market ranges rather than a fixed rate card — the proposal carries the real figure.
That is the first thing we check, before quoting. If your key pages produce under a couple of hundred conversions a month, a testing retainer is not the right spend and we will point you at the work that is — usually the offer, the page structure or speed to follow-up.
95 percent as standard, with the confidence interval reported rather than just the p-value, because the range matters more than the threshold. Where a decision is low-risk and reversible we will sometimes agree 90 percent in advance — in advance being the important part.
Not without a sequential testing design agreed at the start. Peeking and stopping on a good day inflates false positives substantially. If early stopping matters to you, we set the programme up for it properly rather than doing it informally.
Almost never the button. The offer, the price framing, the length of the form and what the page asks a visitor to commit to. Those move numbers large enough to detect at real traffic levels.
Yes, and we QA them across browsers and devices. A variant that flickers on load or breaks on Safari does not produce a clean result, and that is a surprisingly common reason programmes generate noise.
Most tests do lose, and that is a normal working programme rather than a failure. Each loss removes an assumption you were otherwise going to build on. We report them in full, which makes our monthly reports less flattering and more useful.
No questions match — try another search.
Next step
Can your page even conclude a test?
Send us the monthly conversions on the page you want to test. We will run the arithmetic and tell you honestly, before anyone quotes.