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The task was to launch a new antivirus product for Apple devices running MacOS. Its distinct feature and main challenge was working in a highly competitive market, where the new product had to stand out against established players.
Such a background makes standard solutions unviable. This demanded fine-tuning, skillful budget allocation, and strategic flexibility.
The first stage of preparing advertising campaigns was a benchmark of competitors' strategy and promotion. We used the following resources to search for competitors:
The analysis of search results was conducted in Google Keywords Planner, and the analysis of resources was based on ratings and reviews of antiviruses for Mac.
We divided all competitors into three parts...
...лідери ринку, основний пласт, нішеві чи нові гравці (з мінімальним трафіком). Для поділу були використані такі параметри:
Brand Traffic
The amount of brand traffic in conjunction with the target query "macos antivirus."
Activity
The activity of brands in the search results for target queries.
Volume
The volume of traffic on websites and the overall frequency of competitors' brand queries.
List of Competitors:
Top
Trendmicro, Norton, Eset.com, Webroot, Avira, AVG, Sophos, Avast, Malwarebytes, Bitdefender
Middle
Kaspersky, Comodo, Symantec, McAfee, Clamav
Other
Clario, F-Secure Safe, Airo, ClamXav, Intego
Gathering the Semantic Core, Account Structure, and Ad Groups
The main key phrases were collected and divided into groups based on the purchase decision-making stages:
Cold
macos built in antivirus;
mac inbuilt antivirus.
Goal - To spark interest in studying an alternative in the form of our antivirus, emphasizing the comparison of the promoted product with the macos inbuilt antivirus in ads and landing pages.
Conversion: Interest, Free Trial.
Problem Awareness (Info)
what antivirus should I use for mac; what antivirus to use for mac; does the MacBook air need antivirus.
Goal - Promotion of landing pages with an answer to the question, concentrating on the advantages of our solution, including using articles on authoritative resources written for our product (macworld, cnet, etc.).
Conversion: Reading, Transition to product page, Free Trial.
Problem Awareness (Ratings)
which is the best antivirus for mac; which antivirus is best for mac; what is the best antivirus for mac os x; itc.
Goal - Promotion of content on comparison articles, ratings, descriptions, video reviews both on our blog and in authoritative publications.
Conversion: Reading, Transition to product page, Free Trial.
Solution Search
airo antivirus for mac review; bitdefender antivirus for mac reviews; dr antivirus mac review; intego mac review.
Goal - In ads and landing pages, emphasize our strengths, centered on the advantages and disadvantages of the competitor in the query we are promoting in.
Note: Clients have not fully decided on purchasing an antivirus yet but have approached this stage, so they are looking for more detailed information about the competitors' product.
Conversion: Reading, Free Trial.
Targeted (Targeted Ratings)
mac antivirus free best; best free os x antivirus; best free antivirus for mac os x; best free mac antivirus.
Goal - To implement the same working principle with the campaign as in "Targeted (Solution Choice)," but with an emphasis in ads and landing pages on "why our solution is the best of all free ones."
Conversion: Free Trial.
Traffic (Warm Competitors)
uninstall norton antivirus os x; remove norton antivirus mac os x; uninstall symantec antivirus mac os x; itc.
At this stage, users are trying to remove a competitor's antivirus. By working with the reasons for this decision, we can interact with this audience by offering an alternative.
Conversion: Reading, Free Trial.
Competitor Traffic
Target competitors – download Bitdefender Antivirus for Mac; Trend Micro Antivirus for Mac download; etc.
Goal: To develop awareness of our brand and highlight it as the "best alternative" to the antivirus the client is interested in.
Conversion: Reading, Free Trial.
Important!
The result of each campaign, ad group, and key phrase was evaluated by its influence on the final revenue and product purchases. To do this, we synchronized our internal User_ID with the Google Client_ID and ensured the transmission of transaction information back to the advertising accounts based on this connection.
Testing, strategy division of advertising campaigns by region into the West Coast, East Coast, Seattle, South, and central states was planned.
Budget Allocation and Launch Priorities
Considering that this is the launch of an entirely new advertising campaign that currently lacks historical data, but has certain budget constraints, we built the following order for scaling advertising campaigns to evaluate the entire sales funnel hypothesis:
Month 1
Campaigns: targeted (solution choice), targeted ratings.
Month 2
Campaigns: info ratings, competitor ratings.
Evaluation from the perspective of advertising campaign impact on final business profitability
A unique set of metrics was selected for each advertising campaign and its attribute, depending on which stage of the sales funnel the specific ad operates at.
Goal - Interest: visiting certain pages, etc.
Funnel Stage - Solution Search
At the solution search stage, a potential client is not always ready to perform a target action (e.g., register) due to low brand trust or poor conversion elements on the landing page. Therefore, it is important to track all users who are potential clients by the "signals" they leave during interaction with our product. Note: This allowed us to work with this audience using remarketing tools: fighting objections, developing trust, recognition, and encouraging further action.
Goal - Activation (registration, subscription, question, chat, etc.)
Funnel Stage - Solution Choice
This metric determines the final quality of all elements of advertising campaigns: targeting, landing page, registration forms. At this stage, we are not aiming to sell at any cost. Our task is to familiarize the buyer with the product, let them try it out, and then convert them into real revenue using further in-product tools and remarketing communications (including emails or direct contacts).
Goal - Trial version use and in-product triggers Funnel
Stage - Antivirus Selection
Task: To determine the quality of users, how well our product suits them, which elements might cause churn and drop-offs, and how ready the client is to make a purchase. This (with end-to-end analytics) will allow us to build subsequent remarketing communications with each client depending on their actions and the stage of the purchase decision.
Payment
Funnel Stage - Purchase
A target action to determine which segment of buyers interacts with a particular tariff. This will allow us to form the correct offer and budget (with bids) at the early stages of client acquisition.
Repeat Purchase
Funnel Stage - Evaluation
Assessment of retention and product quality.
Recommendations: promo codes, referral programs
Funnel Stage - Evaluation
Assessment of product quality and remarketing communications.
Tools for evaluating intermediate results and advertising campaign quality
We used the following types of metrics for evaluation:
We used historical data from the project's advertising accounts, as well as statistics from Google Analytics, Amplitude, or the company's CRM to determine the following parameters and set up targeting:
Additionally, to create observation audiences, we conducted an analysis of:
Bidding Strategies
Launching campaigns in manual mode:
After stabilizing the results in manual mode and obtaining sufficient data, we switched to automated strategies "Maximize Conversions." Note: With auto-strategies, all metrics and auto-targeting of intellectual algorithms were fixed: placement, age, time, topics, audiences. We took “snapshots” and standardized the models so that everything could be copied in manual mode. Testing of various strategies in A/B test mode was also conducted periodically.
Remarketing
The following remarketing campaigns were created for each audience, according to the stage of the purchase decision-making:
Search Remarketing
Priority display of ads for target queries to the audience that interacted with our offer and showed interest.
Cascading Advertising Campaigns
With a chain of ads for each funnel stage the client is at, with displays at intervals that do not exceed the moments of purchase decision-making.
Settings we applied in our work
Competitor Analysis
Assessment of competitor promotion tactics and strategies using Semrush
Demographic parameters
Gender (average distribution):70 % — men,30 % — womenAge:18-24 — 15 %,25-34 — 30 %,35-44 — 25 %,45-54 — 15 %,55-64 — 10 %,65+ — 5 %.
Top Audience Interests
Technology — 62 %,
Media & Entertainment — 34 %,
News & Politics — 27 %,
Shoppers — 25 %.
Publishers List
Analysis of platforms and websites where competitors place banners most frequently and in the largest quantities.
Top Publisher's Categories
Computers & Electronics — 62 %,Internet & Telecom — 55 %,Arts & Entertainment — 34 %,Online Communities — 29 %,News — 27 %.
Creatives and Ads
The most frequently used ones.
Audiences
Audiences were created based on the following information:
Note: Remarketing audience categories were excluded, and cross-exclusion was applied depending on the stage of the purchase decision.
Targeting
Structure
Important! Considering the long cycle of interactions, we considered launching media campaigns on a separate account with the establishment of a U-shape or linear attribution model. We used a combination of static and adaptive promotion formats: banners and video creatives with the establishment of a chain of advertising creatives by ad groups.
Campaign: Cold (broad)
Audiences by Google interests, audiences similar to client lists
Ad Groups:1. Selling the problem.
2. Building trust and recognition.
3. Value of the solution.
4. Free version offer.
5. Push offer.
Campaign: Problem Awareness
Audiences by KP Problem Awareness / solution search / ratings
Ad Groups:
1. Building trust and recognition.
2. Value of the solution.
3. Free version offer.
4. Push offer.
Campaign: Solution Choice (broad)
Audiences with broad and general queries by KP with the ability to segment by macos versions
Ad Groups:
1. Value of the solution.
2. Building trust and recognition.
3. Dealing with objections.
4. Free version offer.
5. Push offer.
Campaign: Targeted
Audience looking for an opportunity to get a free version of antivirus or download it
Ad Groups:
1. Free version offer.
2. Value of the solution.
3. Dealing with objections.
4. Building trust.
5. Push offer.
Campaign: Competitors
Audiences by key phrases for individual competitors and competitor urls, reviews
Ad Groups:
1. Comparison with competitors.
2. Building trust and recognition.
3. Free version offer.
Campaign: Test (MacBook buyers)
Users who are searching for and want to buy MacBooks
Ad Groups:
1. Selling the problem.
2. Building trust and recognition.
3. Value of the solution.
4. Free version offer.
5. Push offer. Example: offering special conditions when buying a new MacBook.
Settings we applied in our work
Types of Creatives
Remarketing
Remarketing communications were built for each chain with subsequent conversion into registrations.
Tactic
All ads were built into a chain of creatives that we showed to the audience with a certain periodicity and frequency.
7 days
Combination of manual strategies with the automatic strategy "Maximize Clicks" to obtain the maximum volume of traffic for all active audiences and evaluate micro-conversions for further segmentation.
With A/B testing of "activation" creatives for users. Rotation of ads during this period with the setting - do not optimize ads, alternate without time limit. Additionally, an audit and optimization were carried out through the prism of post-view conversions and correlation with the dynamics of CTR in search campaigns of a similar segment or group of key phrases.
Budget size - 30% of the maximum.
30 days
When a sufficient amount of data and attribute optimization was obtained, we reassembled the structure of advertising campaigns and ads according to the priorities of "profit/return on investment term." More segments were allocated within one funnel stage for different types of buyers. Additionally, an audit and optimization were carried out through the prism of post-view conversions and correlation with the dynamics of CTR in search campaigns of a similar segment or group of key phrases.
The "Maximize Conversions" strategy for registration (free trial) was launched. In the presence of restrictions on the cost per conversion for a particular segment, considering its profitability, we set the strategy "Target Cost per Conversion" with the choice of payment per conversion (which was especially relevant for campaigns aimed at user registration and stimulating action).
Our goal was to find the ideal sequence of creatives for separate buyer segments with communications during the period when they are most ready to interact with the offer.