Antivirus Promotion for MacOS | NDA

Antivirus Promotion for MacOS

PROJECT WORK

Antivirus Promotion for MacOS



About the Project

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.

Competitors

The first stage of preparing advertising campaigns was a benchmark of competitors' strategy and promotion. We used the following resources to search for competitors:

    SimilarWeb
    Semrush
    Ahrefs
    Serpstat
    SE Rankin

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.

Antivirus Promotion for MacOS

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.

Month 3

Campaigns: cold, info, thematic, ratings.

Month 4

Campaigns: warm competitors, targeted competitors, competitors.

Which metrics were chosen as key and why?

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:

CTR

Determines how relevant the ad is. Low quality will indicate shortcomings: errors in audience selection, problems related to the writing of the ad texts themselves. Analyzed depending on the % of impressions received, clicks, and average position (page/visible screen area for Display Network) in the search results.

Bounce Rate

We evaluate how targeted traffic leads to the landing page, how much the landing page itself and its elements engage the visitor and encourage them to further study information and interact.

Impression Share

To assess the competitiveness of offers and elements in the niche being promoted, tracking successful competitor solutions.

Conversions and Micro-Conversions

Depending on the goal of the advertising campaign or specific ad, reviewed above.

Number of Won Auctions

We get data on competitor strategies, which will allow us to adjust bidding models depending on the goals and evaluate the impact of competition in the key query group on final sales

Associated and Direct Revenue

We can evaluate every attribute of the advertising campaigns (from search queries to geo- or demographic targeting) from the perspective of how each element affects the project's final revenue. 
Various attribution models are used, taking into account the days to purchase from the first touch and the number of touches of a particular segment.

Click Value (Direct and Associated) and its Profitability

Help to promptly change bids, budgets, and evaluate the effectiveness of each element of the advertising campaigns. Works more effectively when defining click profitability limits depending on the segment the ad is targeting.

Impression Share Lost/Gained (by various parameters)

We correctly allocate budgets depending on the profitability of advertising campaign attributes. This allows us to forecast profitability or the number of conversions with unrealized reach potential, as well as track profit/conversions under-received due to budget and bid limitations.

Ad Quality (Quality Score)

Affects the cost per click and position in the search results, and also helps to determine how relevant the assigned bids, ad, and landing page are for potential buyers. Our experience helps to significantly increase the conversion rate through the optimization of each element



Antivirus Promotion for MacOS

Targeting

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:

    conversion and profitability by age/gender;
    user effectiveness depending on the region or city;
    conversion depending on the type of user device (model, OS version, etc.), for example, desktops only;
    days and time frames (at which periods and moments the conversion rate to registration is highest).

Additionally, to create observation audiences, we conducted an analysis of:

    the effectiveness of Google audiences in Analytics (by interests and intentions);
    creating audiences by intent and interests based on lists of key phrases;
    creating "similar audiences" based on the automatic buyer audience, as well as the list of buyers' email addresses/phone numbers.

Bidding Strategies

Launching campaigns in manual mode:

    The bid in the first days is 30-40% higher than the average. Otherwise, we would get a low ad quality score, and it would later be difficult and expensive to bring it up to the average level. This would critically affect the increase in cost per click in the medium term.
    Daily evaluation of results and adjustment of bids and targeting.
    Segmentation of campaigns and key phrase groups by client type, geography, and profitability.

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

    Networks — Search Network;
    Location — According to the targeting (target value — presence: people who are in the target locations or regularly visit them);
    Languages — English;
    Bids — Depending on the optimization stage;
    Ad Schedule — Limited, based on historical data;
    Optimization — Display of the most effective ads;
    Goals: Depending on the campaign's place in the funnel or chain.
Antivirus Promotion for MacOS

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:

    according to data obtained from search advertising campaigns (which we could track during the observation stage)
    audiences by intent and interests, according to key phrase clusters by analogy with the structure in search campaigns (with the separation of individual audiences for each competitor);
    audiences by intent and interests, according to competitors' visited pages;
    audiences by intent and interests, by url, according to key pages, resources, reviews, etc., that are most frequently found in search results for target queries;
    audiences by Google interests that competitors focus on most (based on analysis);
    audiences similar to the lists of registered users and those who bought a subscription (using automatic lists and uploading lists of email addresses or contact data).

Note: Remarketing audience categories were excluded, and cross-exclusion was applied depending on the stage of the purchase decision.

Targeting


Separation of campaigns by geographical principle (West Coast, East Coast, South US, Northwest)

Age (25-54) as the most solvent audience

Device type — desktop

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

    Location — According to the targeting (target value — presence: people who are in the target locations or regularly visit them);
    Languages — English;
    Bids — Maximum number of clicks with a set maximum cost per click limit;
    Ad Schedule — Limited, based on historical data;
    Goals — Depending on the campaign's place in the funnel or chain;
    Excluded Content — Bottom of the page and parked domains;
    Targeting Expansion (in ad groups) — zero.

Types of Creatives

Selling the Problem

Generating fears, concerns, and warnings about potential problems with MacBook protection.
Goal — to stimulate the search for a solution.

Building Recognition

Advertising our antivirus with an emphasis on awards, advantages, and promotions.

Building Trust

Advertising reviews, overviews, ratings, awards.

Comparison with Competitors

Centering on competitors' weaknesses (what their users might be most dissatisfied with) compared to our offer and features.

Free Version Offer

Stimulation in the format of "try and compare," "free trial period," "free version with 3 times more features than our competitors."

Dealing with Objections

Answers to the most frequent questions or doubts that clients might have.

Value of the Solution

Description of the product's key features and properties in conjunction with the client's pain point. Formula: "pain + our solution = client benefit."

Push Offer

Aggressive offer with a discount, or additional valuable conditions with a limited offer duration.

 

 

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.

14 days

After cleaning placements, topics, and key phrases. Redistribution of budgets was carried out among audiences, campaigns, and creatives according to the shortest profitability cycles of each of them, with subsequent adjustment of strategies for the following types of creatives: - problem development, recognition, objections — strategy "Cost per thousand impressions in the visible screen area"; - comparison with competitors, objections, value of the solution — Maximize Clicks.
With strict control and adjustment of all metrics and targeting. 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 - 70% 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.

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